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BT 34.016 529.152 Td /F1 19.5 Tf [(Learning Scipy For Numerical And )] TJ ET
BT 34.016 505.342 Td /F1 19.5 Tf [(Scientific Computing Second Edition)] TJ ET
BT 34.016 468.241 Td /F1 9.8 Tf [(When people should go to the books stores, search start by shop, shelf by shelf, )] TJ ET
BT 34.016 456.337 Td /F1 9.8 Tf [(it is in reality problematic. This is why we give the book compilations in this )] TJ ET
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BT 262.166 444.432 Td /F1 9.8 Tf [(Learning Scipy For )] TJ ET
BT 34.016 432.527 Td /F1 9.8 Tf [(Numerical And Scientific Computing Second Edition)] TJ ET
BT 257.807 432.527 Td /F1 9.8 Tf [( as you such as. )] TJ ET
BT 34.016 408.922 Td /F1 9.8 Tf [(By searching the title, publisher, or authors of guide you truly want, you can )] TJ ET
BT 34.016 397.018 Td /F1 9.8 Tf [(discover them rapidly. In the house, workplace, or perhaps in your method can )] TJ ET
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BT 34.016 373.208 Td /F1 9.8 Tf [(Learning Scipy For Numerical And Scientific Computing Second Edition, it is )] TJ ET
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BT 34.016 349.399 Td /F1 9.8 Tf [(and make bargains to download and install Learning Scipy For Numerical And )] TJ ET
BT 34.016 337.494 Td /F1 9.8 Tf [(Scientific Computing Second Edition thus simple!)] TJ ET
BT 34.016 294.389 Td /F1 9.8 Tf [(Numerical Python)] TJ ET
BT 110.953 294.389 Td /F1 9.8 Tf [( Robert Johansson 2015-10-07 Numerical Python by Robert )] TJ ET
BT 34.016 282.484 Td /F1 9.8 Tf [(Johansson shows you how to leverage the numerical and mathematical modules )] TJ ET
BT 34.016 270.580 Td /F1 9.8 Tf [(in Python and its Standard Library as well as popular open source numerical )] TJ ET
BT 34.016 258.675 Td /F1 9.8 Tf [(Python packages like NumPy, FiPy, matplotlib and more to numerically compute )] TJ ET
BT 34.016 246.770 Td /F1 9.8 Tf [(solutions and mathematically model applications in a number of areas like big )] TJ ET
BT 34.016 234.865 Td /F1 9.8 Tf [(data, cloud computing, financial engineering, business management and more. )] TJ ET
BT 34.016 222.961 Td /F1 9.8 Tf [(After reading and using this book, you'll get some takeaway case study )] TJ ET
BT 34.016 211.056 Td /F1 9.8 Tf [(examples of applications that can be found in areas like business management, )] TJ ET
BT 34.016 199.151 Td /F1 9.8 Tf [(big data/cloud computing, financial engineering \(i.e., options trading investment )] TJ ET
BT 34.016 187.246 Td /F1 9.8 Tf [(alternatives\), and even games. Up until very recently, Python was mostly )] TJ ET
BT 34.016 175.342 Td /F1 9.8 Tf [(regarded as just a web scripting language. Well, computational scientists and )] TJ ET
BT 34.016 163.437 Td /F1 9.8 Tf [(engineers have recently discovered the flexibility and power of Python to do )] TJ ET
BT 34.016 151.532 Td /F1 9.8 Tf [(more. Big data analytics and cloud computing programmers are seeing Python's )] TJ ET
BT 34.016 139.627 Td /F1 9.8 Tf [(immense use. Financial engineers are also now employing Python in their work. )] TJ ET
BT 34.016 127.723 Td /F1 9.8 Tf [(Python seems to be evolving as a language that can even rival C++, Fortran, )] TJ ET
BT 34.016 115.818 Td /F1 9.8 Tf [(and Pascal/Delphi for numerical and mathematical computations.)] TJ ET
BT 34.016 103.913 Td /F1 9.8 Tf [(Numerical Methods)] TJ ET
BT 117.992 103.913 Td /F1 9.8 Tf [( Anne Greenbaum 2012-04-01 A rigorous and )] TJ ET
BT 34.016 92.008 Td /F1 9.8 Tf [(comprehensive introduction to numerical analysis Numerical Methods provides a )] TJ ET
BT 34.016 80.104 Td /F1 9.8 Tf [(clear and concise exploration of standard numerical analysis topics, as well as )] TJ ET
BT 34.016 68.199 Td /F1 9.8 Tf [(nontraditional ones, including mathematical modeling, Monte Carlo methods, )] TJ ET
BT 34.016 56.294 Td /F1 9.8 Tf [(Markov chains, and fractals. Filled with appealing examples that will motivate )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(students, the textbook considers modern application areas, such as information )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(retrieval and animation, and classical topics from physics and engineering. )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(Exercises use MATLAB and promote understanding of computational results. )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(The book gives instructors the flexibility to emphasize different aspects—design, )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(analysis, or computer implementation—of numerical algorithms, depending on )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(the background and interests of students. Designed for upper-division )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(undergraduates in mathematics or computer science classes, the textbook )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(assumes that students have prior knowledge of linear algebra and calculus, )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(although these topics are reviewed in the text. Short discussions of the history of )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(numerical methods are interspersed throughout the chapters. The book also )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(includes polynomial interpolation at Chebyshev points, use of the MATLAB )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(package Chebfun, and a section on the fast Fourier transform. Supplementary )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(materials are available online. Clear and concise exposition of standard )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(numerical analysis topics Explores nontraditional topics, such as mathematical )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(modeling and Monte Carlo methods Covers modern applications, including )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(information retrieval and animation, and classical applications from physics and )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(engineering Promotes understanding of computational results through MATLAB )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(exercises Provides flexibility so instructors can emphasize mathematical or )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(applied/computational aspects of numerical methods or a combination Includes )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(recent results on polynomial interpolation at Chebyshev points and use of the )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(MATLAB package Chebfun Short discussions of the history of numerical )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(methods interspersed throughout Supplementary materials available online)] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(Python for Scientists)] TJ ET
BT 122.887 289.836 Td /F1 9.8 Tf [( John M. Stewart 2017-07-31 Scientific Python is a )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(significant public domain alternative to expensive proprietary software packages. )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(This book teaches from scratch everything the working scientist needs to know )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(using copious, downloadable, useful and adaptable code snippets. Readers will )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(discover how easy it is to implement and test non-trivial mathematical algorithms )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(and will be guided through the many freely available add-on modules. A range of )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(examples, relevant to many different fields, illustrate the language's capabilities. )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(The author also shows how to use pre-existing legacy code \(usually in )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(Fortran77\) within the Python environment, thus avoiding the need to master the )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(original code. In this new edition, several chapters have been re-written to reflect )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(the IPython notebook style. With an extended index, an entirely new chapter )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(discussing SymPy and a substantial increase in the number of code snippets, )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(researchers and research students will be able to quickly acquire all the skills )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(needed for using Python effectively.)] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(Elegant SciPy)] TJ ET
BT 94.709 123.169 Td /F1 9.8 Tf [( Juan Nunez-Iglesias 2017-08-11 Welcome to Scientific Python )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(and its community. If you’re a scientist who programs with Python, this practical )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(guide not only teaches you the fundamental parts of SciPy and libraries related )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(to it, but also gives you a taste for beautiful, easy-to-read code that you can use )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(in practice. You’ll learn how to write elegant code that’s clear, concise, and )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(efficient at executing the task at hand. Throughout the book, you’ll work with )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(examples from the wider scientific Python ecosystem, using code that illustrates )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(principles outlined in the book. Using actual scientific data, you’ll work on real-)] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(world problems with SciPy, NumPy, Pandas, scikit-image, and other Python )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(libraries. Explore the NumPy array, the data structure that underlies numerical )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(scientific computation Use quantile normalization to ensure that measurements )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(fit a specific distribution Represent separate regions in an image with a Region )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(Adjacency Graph Convert temporal or spatial data into frequency domain data )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(with the Fast Fourier Transform Solve sparse matrix problems, including image )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(segmentations, with SciPy’s sparse module Perform linear algebra by using )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(SciPy packages Explore image alignment \(registration\) with SciPy’s optimize )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(module Process large datasets with Python data streaming primitives and the )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(Toolz library)] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(Introduction to Python for Engineers and Scientists)] TJ ET
BT 252.962 420.788 Td /F1 9.8 Tf [( Sandeep Nagar 2017-12-06 )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(Familiarize yourself with the basics of Python for engineering and scientific )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(computations using this concise, practical tutorial that is focused on writing code )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(to learn concepts. Introduction to Python is useful for industry engineers, )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(researchers, and students who are looking for open-source solutions for )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(numerical computation. In this book you will learn by doing, avoiding technical )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(jargon, which makes the concepts easy to learn. First you’ll see how to run basic )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(calculations, absorbing technical complexities incrementally as you progress )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(toward advanced topics. Throughout, the language is kept simple to ensure that )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(readers at all levels can grasp the concepts. What You'll Learn Understand the )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(fundamentals of the Python programming language Apply Python to numerical )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(computational programming projects in engineering and science Discover the )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(Pythonic way of life Apply data types, operators, and arrays Carry out plotting for )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(visualization Work with functions and loops Who This Book Is For Engineers, )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(scientists, researchers, and students who are new to Python. Some prior )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(programming experience would be helpful but not required.)] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(Numerical and Scientific Computing with SciPy)] TJ ET
BT 236.114 230.312 Td /F1 9.8 Tf [( Sergio Rojas 2017 "This practical )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(course begins with an introduction to the Python SciPy Stack and a coverage of )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(its basic usage cases. You will then delve right into the different functionalities )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(offered by the main modules comprising the SciPy Stack \(Numpy, Scipy, and )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(Matplotlib\) and see the basics on how they can be implemented in real-life )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(scenarios. You will see how you can make the most of the algorithms in the )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(SciPy Stack to solve problems in linear algebra, numerical analysis, )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(visualization, and much more, including some practical examples drawn from the )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(field of Machine Learning."--Resource description page.)] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(Python Programming and Numerical Methods)] TJ ET
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34.016 121.561 m 231.248 121.561 l S
BT 231.248 123.169 Td /F1 9.8 Tf [( Qingkai Kong 2020-11-27 Python )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(Programming and Numerical Methods: A Guide for Engineers and Scientists )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(introduces programming tools and numerical methods to engineering and )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(science students, with the goal of helping the students to develop good )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(computational problem-solving techniques through the use of numerical methods )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(and the Python programming language. Part One introduces fundamental )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(programming concepts, using simple examples to put new concepts quickly into )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(practice. Part Two covers the fundamentals of algorithms and numerical analysis )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(at a level that allows students to quickly apply results in practical settings. )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(Includes tips, warnings and "try this" features within each chapter to help the )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(reader develop good programming practice Summaries at the end of each )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(chapter allow for quick access to important information Includes code in Jupyter )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(notebook format that can be directly run online)] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(Programming for Computations - Python)] TJ ET
BT 208.492 480.312 Td /F1 9.8 Tf [( Svein Linge 2016-07-25 This book )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(presents computer programming as a key method for solving mathematical )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(problems. There are two versions of the book, one for MATLAB and one for )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(Python. The book was inspired by the Springer book TCSE 6: A Primer on )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(Scientific Programming with Python \(by Langtangen\), but the style is more )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(accessible and concise, in keeping with the needs of engineering students. The )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(book outlines the shortest possible path from no previous experience with )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(programming to a set of skills that allows the students to write simple programs )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(for solving common mathematical problems with numerical methods in )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(engineering and science courses. The emphasis is on generic algorithms, clean )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(design of programs, use of functions, and automatic tests for verification.)] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(Learning SciPy for Numerical and Scientific Computing - Second Edition)] TJ ET
0.195 w 0 J [ ] 0 d
34.016 347.751 m 345.050 347.751 l S
BT 345.050 349.360 Td /F1 9.8 Tf [( Sergio )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(J. Rojas G. 2015-02-26 This book targets programmers and scientists who have )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(basic Python knowledge and who are keen to perform scientific and numerical )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(computations with SciPy.)] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(SciPy and NumPy)] TJ ET
BT 112.581 301.741 Td /F1 9.8 Tf [( Eli Bressert 2012 "Optimizing and boosting your Python )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(programming"--Cover.)] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(Python Scripting for Computational Science)] TJ ET
BT 222.054 277.931 Td /F1 9.8 Tf [( Hans Petter Langtangen 2013-03-)] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(14 Scripting with Python makes you productive and increases the reliability of )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(your scientific work. Here, the author teaches you how to develop tailored, )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(flexible, and efficient working environments built from small programs \(scripts\) )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(written in Python. The focus is on examples and applications of relevance to )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(computational science: gluing existing applications and tools, e.g. for automating )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(simulation, data analysis, and visualization; steering simulations and )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(computational experiments; equipping programs with graphical user interfaces; )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(making computational Web services; creating interactive interfaces with a )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(building flexible object-oriented programming interfaces to existing C/C++ or )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(Fortran libraries.)] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(Scientific Computing with Python 3 - Second Edition)] TJ ET
BT 258.363 135.074 Td /F1 9.8 Tf [( Claus Fuhrer 2016-11-24 )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(An example-rich, comprehensive guide for all of your Python computational )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(needsAbout This Book* Your ultimate resource for getting up and running with )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(Python numerical computations* Explore numerical computing and mathematical )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(libraries using Python 3.x code with SciPy and NumPy modules* A hands-on )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(guide to implementing mathematics with Python, with complete coverage of all )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(the key conceptsWho This Book Is ForThis book is for anyone who wants to )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(perform numerical and mathematical computations in Python. It is especially )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(useful for developers, students, and anyone who wants to use Python for )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(computation. Readers are expected to possess basic a knowledge of scientific )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(computing and mathematics, but no prior experience with Python is )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(needed.What you will learn* The principal syntactical elements of Python* The )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(most important and basic types in Python* The essential building blocks of )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(computational mathematics, linear algebra, and related Python objects* Plot in )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(Python using matplotlib to create high quality figures and graphics to draw and )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(visualize your results* Define and use functions and learn to treat them as )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(objects* How and when to correctly apply object-oriented programming for )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(scientific computing in Python* Handle exceptions, which are an important part )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(of writing reliable and usable code* Two aspects of testing for scientific )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(programming: Manual and AutomaticIn DetailPython can be used for more than )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(just general-purpose programming. It is a free, open source language and )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(environment that has tremendous potential for use within the domain of scientific )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(computing. This book presents Python in tight connection with mathematical )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(applications and demonstrates how to use various concepts in Python for )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(computing purposes, including examples with the latest version of Python 3. )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(Python is an effective tool to use when coupling scientific computing and )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(mathematics and this book will teach you how to use it for linear algebra, arrays, )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(plotting, iterating, functions, polynomials, and much more.)] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(Scientific Computing with Python)] TJ ET
BT 175.985 313.645 Td /F1 9.8 Tf [( Claus Fuhrer 2021-07-30 Leverage this )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(example-packed, comprehensive guide for all your Python computational needs )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(Key FeaturesLearn the first steps within Python to highly specialized )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(conceptsExplore examples and code snippets taken from typical programming )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(situations within scientific computing.Delve into essential computer science )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(concepts like iterating, object-oriented programming, testing, and MPI presented )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(in strong connection to applications within scientific computing.Book Description )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(Python has tremendous potential within the scientific computing domain. This )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(updated edition of Scientific Computing with Python features new chapters on )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(graphical user interfaces, efficient data processing, and parallel computing to )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(help you perform mathematical and scientific computing efficiently using Python. )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(This book will help you to explore new Python syntax features and create )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(different models using scientific computing principles. The book presents Python )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(alongside mathematical applications and demonstrates how to apply Python )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(concepts in computing with the help of examples involving Python 3.8. You'll use )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(pandas for basic data analysis to understand the modern needs of scientific )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(computing, and cover data module improvements and built-in features. You'll )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(also explore numerical computation modules such as NumPy and SciPy, which )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(enable fast access to highly efficient numerical algorithms. By learning to use the )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(plotting module Matplotlib, you will be able to represent your computational )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(results in talks and publications. A special chapter is devoted to SymPy, a tool )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(for bridging symbolic and numerical computations. By the end of this Python )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(book, you'll have gained a solid understanding of task automation and how to )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(implement and test mathematical algorithms within the realm of scientific )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(computing. What you will learnUnderstand the building blocks of computational )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(mathematics, linear algebra, and related Python objectsUse Matplotlib to create )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(high-quality figures and graphics to draw and visualize resultsApply object-)] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(oriented programming \(OOP\) to scientific computing in PythonDiscover how to )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(use pandas to enter the world of data processingHandle exceptions for writing )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(reliable and usable codeCover manual and automatic aspects of testing for )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(scientific programmingGet to grips with parallel computing to increase )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(computation speedWho this book is for This book is for students with a )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(mathematical background, university teachers designing modern courses in )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(programming, data scientists, researchers, developers, and anyone who wants )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(to perform scientific computation in Python.)] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(Mastering Numerical Computing with NumPy)] TJ ET
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34.016 407.275 m 227.972 407.275 l S
BT 227.972 408.883 Td /F1 9.8 Tf [( Umit Mert Cakmak 2018-06-28 )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(Enhance the power of NumPy and start boosting your scientific computing )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(capabilities Key Features Grasp all aspects of numerical computing and )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(understand NumPy Explore examples to learn exploratory data analysis \(EDA\), )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(regression, and clustering Access NumPy libraries and use performance )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(benchmarking to select the right tool Book Description NumPy is one of the most )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(important scientific computing libraries available for Python. Mastering Numerical )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(Computing with NumPy teaches you how to achieve expert level competency to )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(perform complex operations, with in-depth coverage of advanced concepts. )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(Beginning with NumPy's arrays and functions, you will familiarize yourself with )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(linear algebra concepts to perform vector and matrix math operations. You will )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(thoroughly understand and practice data processing, exploratory data analysis )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(\(EDA\), and predictive modeling. You will then move on to working on practical )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(examples which will teach you how to use NumPy statistics in order to explore )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(US housing data and develop a predictive model using simple and multiple linear )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(regression techniques. Once you have got to grips with the basics, you will )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(explore unsupervised learning and clustering algorithms, followed by )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(understanding how to write better NumPy code while keeping advanced )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(considerations in mind. The book also demonstrates the use of different high-)] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(performance numerical computing libraries and their relationship with NumPy. )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(You will study how to benchmark the performance of different configurations and )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(choose the best for your system. By the end of this book, you will have become )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(an expert in handling and performing complex data manipulations. What you will )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(learn Perform vector and matrix operations using NumPy Perform exploratory )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(data analysis \(EDA\) on US housing data Develop a predictive model using )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(simple and multiple linear regression Understand unsupervised learning and )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(clustering algorithms with practical use cases Write better NumPy code and )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(implement the algorithms from scratch Perform benchmark tests to choose the )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(best configuration for your system Who this book is for Mastering Numerical )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(Computing with NumPy is for you if you are a Python programmer, data analyst, )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(data engineer, or a data science enthusiast, who wants to master the intricacies )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(of NumPy and build solutions for your numeric and scientific computational )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(problems. You are expected to have familiarity with mathematics to get the most )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(out of this book.)] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(NumPy: Beginner's Guide)] TJ ET
BT 145.877 516.026 Td /F1 9.8 Tf [( Ivan Idris 2015-06-24 In today's world of science and )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(technology, it's all about speed and flexibility. When it comes to scientific )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(computing, NumPy tops the list. NumPy will give you both speed and high )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(productivity. This book will walk you through NumPy with clear, step-by-step )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(examples and just the right amount of theory. The book focuses on the )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(fundamentals of NumPy, including array objects, functions, and matrices, each )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(of them explained with practical examples. You will then learn about different )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(NumPy modules while performing mathematical operations such as calculating )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(the Fourier transform, finding the inverse of a matrix, and determining )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(eigenvalues, among many others. This book is a one-stop solution to knowing )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(the ins and outs of the vast NumPy library, empowering you to use its wide )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(range of mathematical features to build efficient, high-speed programs.)] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(Raspberry Pi Supercomputing and Scientific Programming)] TJ ET
BT 285.975 373.169 Td /F1 9.8 Tf [( Ashwin Pajankar )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(2017-05-25 Build an inexpensive cluster of multiple Raspberry Pi computers and )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(install all the required libraries to write parallel and scientific programs in Python )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(3. This book covers setting up your Raspberry Pis, installing the necessary )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(software, and making a cluster of multiple Pis. Once the cluster is built, its power )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(has to be exploited by means of programs to run on it. So, Raspberry Pi )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(Supercomputing and Scientific Programming teaches you to code the cluster )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(with the MPI4PY library of Python 3. Along the way, you will learn the concepts )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(of the Message Passing Interface \(MPI\) standards and will explore the )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(fundamentals of parallel programming on your inexpensive cluster. This will )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(make this book a great starting point for supercomputing enthusiasts who want )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(to get started with parallel programming. The book finishes with details of )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(symbolic mathematics and scientific and numerical programming in Python, )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(using SymPi, SciPy, NumPy, and Matplotlib. You’ll see how to process signals )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(and images, carry out calculations using linear algebra, and visualize your )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(results, all using Python code. With the power of a Raspberry Pi supercomputer )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(at your fingertips, data-intensive scientific programming becomes a reality at )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(home. What You Will Learn Discover the essentials of supercomputing Build a )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(low-cost cluster of Raspberry Pis at home Harness the power of parallel )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(programming and the Message Passing Interface \(MPI\) Use your Raspberry Pi )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(for symbolic, numerical, and scientific programming Who This Book Is For )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(Python 3 developers who seek the knowledge of parallel programming, )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(Raspberry Pi enthusiasts, researchers, and the scientific Python community.)] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(IPython Notebook Essentials)] TJ ET
BT 158.660 99.360 Td /F1 9.8 Tf [( L. Felipe Martins 2014-11-21 If you are a )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(professional, student, or educator who wants to learn to use IPython Notebook )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(as a tool for technical and scientific computing, visualization, and data analysis, )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(this is the book for you. This book will prove valuable for anyone that needs to )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(do computations in an agile environment.)] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(A Primer on Scientific Programming with Python)] TJ ET
BT 241.535 539.836 Td /F1 9.8 Tf [( Hans Petter Langtangen 2016-)] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(07-28 The book serves as a first introduction to computer programming of )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(scientific applications, using the high-level Python language. The exposition is )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(example and problem-oriented, where the applications are taken from )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(mathematics, numerical calculus, statistics, physics, biology and finance. The )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(book teaches "Matlab-style" and procedural programming as well as object-)] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(oriented programming. High school mathematics is a required background and it )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(is advantageous to study classical and numerical one-variable calculus in )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(parallel with reading this book. Besides learning how to program computers, the )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(reader will also learn how to solve mathematical problems, arising in various )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(branches of science and engineering, with the aid of numerical methods and )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(programming. By blending programming, mathematics and scientific )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(applications, the book lays a solid foundation for practicing computational )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(science. From the reviews: Langtangen ... does an excellent job of introducing )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(programming as a set of skills in problem solving. He guides the reader into )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(thinking properly about producing program logic and data structures for modeling )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(real-world problems using objects and functions and embracing the object-)] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(Vol. 47 \(8\), April 2010 Those of us who have learned scientific programming in )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(Python ‘on the streets’ could be a little jealous of students who have the )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(Mathematical Association of America, September 2011 This book goes through )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(Python in particular, and programming in general, via tasks that scientists will )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(likely perform. It contains valuable information for students new to scientific )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(computing and would be the perfect bridge between an introduction to )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(programming and an advanced course on numerical methods or computational )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(science. Alex Small, IEEE, CiSE Vol. 14 \(2\), March /April 2012 “This fourth )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(edition is a wonderful, inclusive textbook that covers pretty much everything one )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(needs to know to go from zero to fairly sophisticated scientific programming in )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(Python...” Joan Horvath, Computing Reviews, March 2015)] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(Numerical Python)] TJ ET
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34.016 181.084 m 110.953 181.084 l S
BT 110.953 182.693 Td /F1 9.8 Tf [( Robert Johansson 2019-01-19 Leverage the numerical and )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(mathematical modules in Python and its standard library as well as popular open )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(more. This fully revised edition, updated with the latest details of each package )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(and changes to Jupyter projects, demonstrates how to numerically compute )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(solutions and mathematically model applications in big data, cloud computing, )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(financial engineering, business management and more. Numerical Python, )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(Second Edition, presents many brand-new case study examples of applications )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(in data science and statistics using Python, along with extensions to many )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(previous examples. Each of these demonstrates the power of Python for rapid )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(development and exploratory computing due to its simple and high-level syntax )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(and multiple options for data analysis. After reading this book, readers will be )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(familiar with many computing techniques including array-based and symbolic )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(computing, visualization and numerical file I/O, equation solving, optimization, )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(interpolation and integration, and domain-specific computational problems, such )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(as differential equation solving, data analysis, statistical modeling and machine )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(learning. What You'll Learn Work with vectors and matrices using NumPy Plot )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(and visualize data with Matplotlib Perform data analysis tasks with Pandas and )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(SciPy Review statistical modeling and machine learning with statsmodels and )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(scikit-learn Optimize Python code using Numba and Cython Who This Book Is )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(For Developers who want to understand how to use Python and its related )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(ecosystem for numerical computing.)] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(Python Data Science Handbook)] TJ ET
BT 172.212 432.693 Td /F1 9.8 Tf [( Jake VanderPlas 2016-11-21 For many )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(researchers, Python is a first-class tool mainly because of its libraries for storing, )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(manipulating, and gaining insight from data. Several resources exist for )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(individual pieces of this data science stack, but only with the Python Data )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(Scikit-Learn, and other related tools. Working scientists and data crunchers )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(familiar with reading and writing Python code will find this comprehensive desk )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(reference ideal for tackling day-to-day issues: manipulating, transforming, and )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(cleaning data; visualizing different types of data; and using data to build )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(statistical or machine learning models. Quite simply, this is the must-have )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(reference for scientific computing in Python. With this handbook, you’ll learn how )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(to use: IPython and Jupyter: provide computational environments for data )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(scientists using Python NumPy: includes the ndarray for efficient storage and )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(manipulation of dense data arrays in Python Pandas: features the DataFrame for )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(efficient storage and manipulation of labeled/columnar data in Python Matplotlib: )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(includes capabilities for a flexible range of data visualizations in Python Scikit-)] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(Learn: for efficient and clean Python implementations of the most important and )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(established machine learning algorithms)] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(Scientific Computation)] TJ ET
BT 131.009 218.407 Td /F1 9.8 Tf [( Bruce E. Shapiro 2015-06-05 Corrected and revised with )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(additional material. Computers are wonderful things. They improve our lives and )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(produce works of art. Information and communication are free and available in )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(ways that were undreamed of by many a generation ago. And yet computers )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(inspire fear when they are used improperly or misunderstood. Everyone uses )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(computers today. The typical student uses at least three: a portable notebook )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(computer, a tablet, and a cell phone. None of these even existed before this )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(year's college graduating class was born. So a reasonable amount of computer )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(literacy is expected of everyone these days. Though inspired by mathematics, )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(much of the mathematical beauty of computation is largely ignored by both )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(elementary computer science and introductory programming books. This book is )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(designed to help math junkies - anyone who likes math, studies math, or uses )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(math in their daily life - learn about computation. The emphasis is on algorithms. )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(It is appropriate for students with no prior programming experience as well as )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(professional scientists. Contents: Python programs, iPython notebooks, )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(expressions, statements, types, lists, arrays, functions, classes, plotting, list )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(comprehension, recursion. Applications include linear systems, computational )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(geometry, root finding, interpolation, polynomial least squares, discrete systems, )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(differential equations, principal component analysis, singular value )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(decomposition, fractals, chaos, and satellite orbit propagation. Also covers )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(numpy, plotting with pyplot, and basics maps with basemap. Now includes more )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(than 200 exercises for students. Target audience: undergraduate math and )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(science students entering their upper level curriculum. Calculus and some linear )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(algebra background is helpful; a review of linear algebra is included as an )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(appendix. No prior programming experience is expected)] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(Numerical Analysis and Optimization)] TJ ET
BT 192.765 432.693 Td /F1 9.8 Tf [( Grégoire Allaire 2007-05-24 This text, )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(based on the author's teaching at École Polytechnique, introduces the reader to )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(the world of mathematical modelling and numerical simulation. Covering the )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(finite difference method; variational formulation of elliptic problems; Sobolev )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(spaces; elliptical problems; the finite element method; Eigenvalue problems; )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(evolution problems; optimality conditions and algorithms and methods of )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(operational research, and including a several exercises throughout, this is an )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(ideal text for advanced undergraduate students and graduates in applied )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(mathematics, engineering, computer science, and the physical sciences.)] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(Learning NumPy Array)] TJ ET
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34.016 323.941 m 132.627 323.941 l S
BT 132.627 325.550 Td /F1 9.8 Tf [( Ivan Idris 2014-06-13 A step-by-step guide, packed with )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(examples of practical numerical analysis that will give you a comprehensive, but )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(concise overview of NumPy. This book is for programmers, scientists, or )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(engineers, who have basic Python knowledge and would like to be able to do )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(numerical computations with Python.)] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(IPython Interactive Computing and Visualization Cookbook)] TJ ET
BT 287.633 266.026 Td /F1 9.8 Tf [( Cyrille Rossant 2014-)] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(09-25 Intended to anyone interested in numerical computing and data science: )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(students, researchers, teachers, engineers, analysts, hobbyists... Basic )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(knowledge of Python/NumPy is recommended. Some skills in mathematics will )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(help you understand the theory behind the computational methods.)] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(Introduction to Computation and Programming Using Python, second edition)] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(John V. Guttag 2016-08-12 The new edition of an introductory text that teaches )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(students the art of computational problem solving, covering topics ranging from )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(simple algorithms to information visualization. This book introduces students with )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(little or no prior programming experience to the art of computational problem )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(solving using Python and various Python libraries, including PyLab. It provides )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(students with skills that will enable them to make productive use of )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(computational techniques, including some of the tools and techniques of data )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(science for using computation to model and interpret data. The book is based on )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(an MIT course \(which became the most popular course offered through MIT's )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(OpenCourseWare\) and was developed for use not only in a conventional )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(classroom but in in a massive open online course \(MOOC\). This new edition has )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(been updated for Python 3, reorganized to make it easier to use for courses that )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(cover only a subset of the material, and offers additional material including five )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(new chapters. Students are introduced to Python and the basics of programming )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(in the context of such computational concepts and techniques as exhaustive )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(enumeration, bisection search, and efficient approximation algorithms. Although )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(it covers such traditional topics as computational complexity and simple )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(algorithms, the book focuses on a wide range of topics not found in most )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(introductory texts, including information visualization, simulations to model )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(randomness, computational techniques to understand data, and statistical )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(techniques that inform \(and misinform\) as well as two related but relatively )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(advanced topics: optimization problems and dynamic programming. This edition )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(offers expanded material on statistics and machine learning and new chapters )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(on Frequentist and Bayesian statistics.)] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(Introduction to Scientific Programming with Python)] TJ ET
0.195 w 0 J [ ] 0 d
34.016 419.179 m 251.850 419.179 l S
BT 251.850 420.788 Td /F1 9.8 Tf [( Joakim Sundnes 2020 This )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(open access book offers an initial introduction to programming for scientific and )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(computational applications using the Python programming language. The )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(presentation style is compact and example-based, making it suitable for students )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(and researchers with little or no prior experience in programming. The book uses )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(relevant examples from mathematics and the natural sciences to present )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(programming as a practical toolbox that can quickly enable readers to write their )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(own programs for data processing and mathematical modeling. These tools )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(include file reading, plotting, simple text analysis, and using NumPy for )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(numerical computations, which are fundamental building blocks of all programs )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(in data science and computational science. At the same time, readers are )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(introduced to the fundamental concepts of programming, including variables, )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(functions, loops, classes, and object-oriented programming. Accordingly, the )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(book provides a sound basis for further computer science and programming )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(studies.)] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(Python for Data Analysis)] TJ ET
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34.016 240.608 m 140.768 240.608 l S
BT 140.768 242.217 Td /F1 9.8 Tf [( Wes McKinney 2017-09-25 Get complete instructions )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(for manipulating, processing, cleaning, and crunching datasets in Python. )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(Updated for Python 3.6, the second edition of this hands-on guide is packed with )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(practical case studies that show you how to solve a broad set of data analysis )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(and Jupyter in the process. Written by Wes McKinney, the creator of the Python )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(pandas project, this book is a practical, modern introduction to data science tools )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(in Python. It’s ideal for analysts new to Python and for Python programmers new )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(to data science and scientific computing. Data files and related material are )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(available on GitHub. Use the IPython shell and Jupyter notebook for exploratory )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(computing Learn basic and advanced features in NumPy \(Numerical Python\) )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(Get started with data analysis tools in the pandas library Use flexible tools to )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(load, clean, transform, merge, and reshape data Create informative )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(summarize datasets Analyze and manipulate regular and irregular time series )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(data Learn how to solve real-world data analysis problems with thorough, )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(detailed examples)] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(Numerical Python)] TJ ET
BT 110.953 539.836 Td /F1 9.8 Tf [( Robert Johansson 2018-12-24 Leverage the numerical and )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(mathematical modules in Python and its standard library as well as popular open )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(more. This fully revised edition, updated with the latest details of each package )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(and changes to Jupyter projects, demonstrates how to numerically compute )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(solutions and mathematically model applications in big data, cloud computing, )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(financial engineering, business management and more. Numerical Python, )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(Second Edition, presents many brand-new case study examples of applications )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(in data science and statistics using Python, along with extensions to many )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(previous examples. Each of these demonstrates the power of Python for rapid )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(development and exploratory computing due to its simple and high-level syntax )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(and multiple options for data analysis. After reading this book, readers will be )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(familiar with many computing techniques including array-based and symbolic )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(computing, visualization and numerical file I/O, equation solving, optimization, )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(interpolation and integration, and domain-specific computational problems, such )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(as differential equation solving, data analysis, statistical modeling and machine )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(learning. What You'll Learn Work with vectors and matrices using NumPy Plot )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(and visualize data with Matplotlib Perform data analysis tasks with Pandas and )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(SciPy Review statistical modeling and machine learning with statsmodels and )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(scikit-learn Optimize Python code using Numba and Cython Who This Book Is )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(For Developers who want to understand how to use Python and its related )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(ecosystem for numerical computing.)] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(Programming for Computations - Python)] TJ ET
BT 208.492 277.931 Td /F1 9.8 Tf [( Svein Linge 2019-10-30 This book is )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(published open access under a CC BY 4.0 license. This book presents computer )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(programming as a key method for solving mathematical problems. This second )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(edition of the well-received book has been extensively revised: All code is now )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(written in Python version 3.6 \(no longer version 2.7\). In addition, the two first )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(chapters of the previous edition have been extended and split up into five new )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(chapters, thus expanding the introduction to programming from 50 to 150 pages. )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(Throughout the book, the explanations provided are now more detailed, previous )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(examples have been modified, and new sections, examples and exercises have )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(been added. Also, a number of small errors have been corrected. The book was )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(inspired by the Springer book TCSE 6: A Primer on Scientific Programming with )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(Python \(by Langtangen\), but the style employed is more accessible and concise, )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(in keeping with the needs of engineering students. The book outlines the )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(shortest possible path from no previous experience with programming to a set of )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(skills that allows students to write simple programs for solving common )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(mathematical problems with numerical methods in the context of engineering )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(and science courses. The emphasis is on generic algorithms, clean program )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(design, the use of functions, and automatic tests for verification.)] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(Learning Linux Binary Analysis)] TJ ET
BT 167.318 63.646 Td /F1 9.8 Tf [( Ryan "elfmaster" O'Neill 2016-02-29 Uncover the )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(secrets of Linux binary analysis with this handy guide About This Book Grasp )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(the intricacies of the ELF binary format of UNIX and Linux Design tools for )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(reverse engineering and binary forensic analysis Insights into UNIX and Linux )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(memory infections, ELF viruses, and binary protection schemes Who This Book )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(Is For If you are a software engineer or reverse engineer and want to learn more )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(about Linux binary analysis, this book will provide you with all you need to )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(implement solutions for binary analysis in areas of security, forensics, and )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(antivirus. This book is great for both security enthusiasts and system level )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(engineers. Some experience with the C programming language and the Linux )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(command line is assumed. What You Will Learn Explore the internal workings of )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(the ELF binary format Discover techniques for UNIX Virus infection and analysis )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(Work with binary hardening and software anti-tamper methods Patch )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(executables and process memory Bypass anti-debugging measures used in )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(malware Perform advanced forensic analysis of binaries Design ELF-related )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(tools in the C language Learn to operate on memory with ptrace In Detail )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(Learning Linux Binary Analysis is packed with knowledge and code that will )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(teach you the inner workings of the ELF format, and the methods used by )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(hackers and security analysts for virus analysis, binary patching, software )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(protection and more. This book will start by taking you through UNIX/Linux )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(object utilities, and will move on to teaching you all about the ELF specimen. )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(You will learn about process tracing, and will explore the different types of Linux )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(and UNIX viruses, and how you can make use of ELF Virus Technology to deal )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(with them. The latter half of the book discusses the usage of Kprobe )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(instrumentation for kernel hacking, code patching, and debugging. You will )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(discover how to detect and disinfect kernel-mode rootkits, and move on to )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(analyze static code. Finally, you will be walked through complex userspace )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(memory infection analysis. This book will lead you into territory that is uncharted )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(even by some experts; right into the world of the computer hacker. Style and )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(approach The material in this book provides detailed insight into the arcane arts )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(of hacking, coding, reverse engineering Linux executables, and dissecting )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(process memory. In the computer security industry these skills are priceless, and )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(scarce. The tutorials are filled with knowledge gained through first hand )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(experience, and are complemented with frequent examples including source )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(code.)] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(Scientific Computing)] TJ ET
BT 122.877 158.884 Td /F1 9.8 Tf [( Michael T. Heath 2018-11-14 This book differs from )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(traditional numerical analysis texts in that it focuses on the motivation and ideas )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(behind the algorithms presented rather than on detailed analyses of them. It )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(presents a broad overview of methods and software for solving mathematical )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(problems arising in computational modeling and data analysis, including proper )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(problem formulation, selection of effective solution algorithms, and interpretation )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(of results.? In the 20 years since its original publication, the modern, )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(fundamental perspective of this book has aged well, and it continues to be used )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(in the classroom. This Classics edition has been updated to include pointers to )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(Python software and the Chebfun package, expansions on barycentric )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(formulation for Lagrange polynomial interpretation and stochastic methods, and )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(the availability of about 100 interactive educational modules that dynamically )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(illustrate the concepts and algorithms in the book. Scientific Computing: An )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(Introductory Survey, Second Edition is intended as both a textbook and a )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(reference for computationally oriented disciplines that need to solve )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(mathematical problems.)] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(Scientific Computing with Python - Second Edition)] TJ ET
BT 250.232 480.312 Td /F1 9.8 Tf [( CLAUS. FUHRER 2021-07-)] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(23 Leverage this example-packed, comprehensive guide for all your Python )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(computational needs Key Features: Learn the first steps within Python to highly )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(specialized concepts Explore examples and code snippets taken from typical )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(programming situations within scientific computing. Delve into essential )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(computer science concepts like iterating, object-oriented programming, testing, )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(and MPI presented in strong connection to applications within scientific )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(computing. Book Description: Python has tremendous potential within the )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(scientific computing domain. This updated edition of Scientific Computing with )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(Python features new chapters on graphical user interfaces, efficient data )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(processing, and parallel computing to help you perform mathematical and )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(scientific computing efficiently using Python. This book will help you to explore )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(new Python syntax features and create different models using scientific )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(computing principles. The book presents Python alongside mathematical )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(applications and demonstrates how to apply Python concepts in computing with )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(the help of examples involving Python 3.8. You'll use pandas for basic data )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(analysis to understand the modern needs of scientific computing, and cover data )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(module improvements and built-in features. You'll also explore numerical )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(computation modules such as NumPy and SciPy, which enable fast access to )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(highly efficient numerical algorithms. By learning to use the plotting module )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(Matplotlib, you will be able to represent your computational results in talks and )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(publications. A special chapter is devoted to SymPy, a tool for bridging symbolic )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(and numerical computations. By the end of this Python book, you'll have gained )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(a solid understanding of task automation and how to implement and test )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(mathematical algorithms within the realm of scientific computing. What You Will )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(Learn: Understand the building blocks of computational mathematics, linear )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(algebra, and related Python objects Use Matplotlib to create high-quality figures )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(and graphics to draw and visualize results Apply object-oriented programming )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(\(OOP\) to scientific computing in Python Discover how to use pandas to enter the )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(world of data processing Handle exceptions for writing reliable and usable code )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(Cover manual and automatic aspects of testing for scientific programming Get to )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(grips with parallel computing to increase computation speed Who this book is )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(for: This book is for students with a mathematical background, university )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(teachers designing modern courses in programming, data scientists, )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(researchers, developers, and anyone who wants to perform scientific )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(computation in Python.)] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(Learning Scientific Programming with Python)] TJ ET
BT 228.002 51.741 Td /F1 9.8 Tf [( Christian Hill 2020-10-22 This fast-)] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(paced introduction to Python moves from the basics to advanced concepts, )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(enabling readers to gain proficiency quickly.)] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(Applied Scientific Computing)] TJ ET
BT 158.104 527.931 Td /F1 9.8 Tf [( Peter R. Turner 2018-07-18 This easy-to-)] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(understand textbook presents a modern approach to learning numerical )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(methods \(or scientific computing\), with a unique focus on the modeling and )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(applications of the mathematical content. Emphasis is placed on the need for, )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(and methods of, scientific computing for a range of different types of problems, )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(supplying the evidence and justification to motivate the reader. Practical )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(guidance on coding the methods is also provided, through simple-to-follow )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(examples using Python. Topics and features: provides an accessible and )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(applications-oriented approach, supported by working Python code for many of )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(the methods; encourages both problem- and project-based learning through )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(extensive examples, exercises, and projects drawn from practical applications; )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(introduces the main concepts in modeling, python programming, number )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(representation, and errors; explains the essential details of numerical calculus, )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(linear, and nonlinear equations, including the multivariable Newton method; )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(discusses interpolation and the numerical solution of differential equations, )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(covering polynomial interpolation, splines, and the Euler, Runge–Kutta, and )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(shooting methods; presents largely self-contained chapters, arranged in a logical )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(order suitable for an introductory course on scientific computing. Undergraduate )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(students embarking on a first course on numerical methods or scientific )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(computing will find this textbook to be an invaluable guide to the field, and to the )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(application of these methods across such varied disciplines as computer )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(science, engineering, mathematics, economics, the physical sciences, and )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(social science.)] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(Mastering SciPy)] TJ ET
BT 104.450 254.122 Td /F1 9.8 Tf [( Francisco J. Blanco-Silva 2015-11-10 Implement state-of-the-)] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(art techniques to visualize solutions to challenging problems in scientific )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(computing, with the use of the SciPy stack About This Book Master the theory )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(and algorithms behind numerical recipes and how they can be applied to real-)] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(world problems Learn to combine the most appropriate built-in functions from the )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(SciPy stack by understanding the connection between the sources of your )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(problem, volume of data, or computer architecture A comprehensive coverage of )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(all the mathematical techniques needed to solve the presented topics, with a )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(discussion of the relevant algorithms built in the SciPy stack Who This Book Is )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(For If you are a mathematician, engineer, or computer scientist with a proficiency )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(in Python and familiarity with IPython, this is the book for you. Some basic )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(knowledge of numerical methods in scientific computing would be helpful. What )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(You Will Learn Master relevant algorithms used in symbolic or numerical )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(mathematics to address approximation, interpolation, differentiation, integration, )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(root-finding, and optimization of scalar or multi-variate functions Develop )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(different algorithms and strategies to efficiently store and manipulate large )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(matrices of data, in particular to solve systems of linear equations, or compute )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(their eigenvalues/eigenvectors Understand how to model physical problems with )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(systems of differential equations and distinguish the factors that dictate the )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(strategies to solve them Perform statistical analysis, hypothesis test design and )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(resolution, or data mining at a higher level, and apply them to real-life problems )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(in the field of data analysis Gain insights on the power of distances, Delaunay )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(triangulations and Voronoi diagrams for Computational Geometry, and apply )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(them to various engineering problems Familiarize yourself with different )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(techniques in signal/image processing, including filtering audio, images, or video )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(to extract information, features, or remove components In Detail The SciPy stack )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(is a collection of open source libraries of the powerful scripting language Python, )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(together with its interactive shells. This environment offers a cutting-edge )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(platform for numerical computation, programming, visualization and publishing, )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(and is used by some of the world's leading mathematicians, scientists, and )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(engineers. It works on any operating system that supports Python and is very )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(easy to install, and completely free of charge! It can effectively transform into a )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(data-processing and system-prototyping environment, directly rivalling MATLAB )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(and Octave. This book goes beyond a mere description of the different built-in )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(functions coded in the libraries from the SciPy stack. It presents you with a solid )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(mathematical and computational background to help you identify the right tools )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(for each problem in scientific computing and visualization. You will gain an )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(insight into the best practices with numerical methods depending on the amount )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(or type of data, properties of the mathematical tools employed, or computer )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(architecture, among other factors. The book kicks off with a concise exploration )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(of the basics of numerical linear algebra and graph theory for the treatment of )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(problems that handle large data sets or matrices. In the subsequent chapters, )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(you will delve into the depths of algorithms in symbolic algebra and numerical )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(analysis to address modeling/simulation of various real-world problems with )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(functions \(through interpolation, approximation, or creation of systems of )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(differential equations\), and extract their representing features \(zeros, extrema, )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(integration or differentiation\). Lastly, you will move on to advanced concepts of )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(data analysis, image/signal processing, and computational geometry. Style and )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(approach Packed with real-world examples, this book explores the mathematical )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(techniques needed to solve the presented topics, and focuses on the algorithms )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(built in the SciPy stack.)] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(Machine Learning Algorithms)] TJ ET
BT 160.268 158.884 Td /F1 9.8 Tf [( Giuseppe Bonaccorso 2018-08-30 Machine )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(learning explores the study and construction of algorithms that can learn from )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(and make predictions on data. This book will act as an entry point for anyone )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(who wants to make a career in Machine Learning. It covers algorithms like )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(Linear regression, Logistic Regression, SVM, Naïve Bayes, K-Means, Random )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(Forest, and Feature engineering.)] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(Practical Numerical and Scientific Computing with MATLAB® and Python)] TJ ET
BT 349.516 87.455 Td /F1 9.8 Tf [( Eihab )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(B. M. Bashier 2020-03-18 Practical Numerical and Scientific Computing with )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(MATLAB® and Python concentrates on the practical aspects of numerical )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(analysis and linear and non-linear programming. It discusses the methods for )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(solving different types of mathematical problems using MATLAB and Python. )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(Although the book focuses on the approximation problem rather than on error )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(analysis of mathematical problems, it provides practical ways to calculate errors. )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(The book is divided into three parts, covering topics in numerical linear algebra, )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(methods of interpolation, numerical differentiation and integration, solutions of )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(differential equations, linear and non-linear programming problems, and optimal )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(control problems. This book has the following advantages: It adopts the )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(programming languages, MATLAB and Python, which are widely used among )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(academics, scientists, and engineers, for ease of use and contain many libraries )] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(covering many scientific and engineering fields. It contains topics that are rarely )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(found in other numerical analysis books, such as ill-conditioned linear systems )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(and methods of regularization to stabilize their solutions, nonstandard finite )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(differences methods for solutions of ordinary differential equations, and the )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(computations of the optimal controls. It provides a practical explanation of how to )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(apply these topics using MATLAB and Python. It discusses software libraries to )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(solve mathematical problems, such as software Gekko, pulp, and pyomo. These )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(libraries use Python for solutions to differential equations and static and dynamic )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(optimization problems. Most programs in the book can be applied in versions )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(prior to MATLAB 2017b and Python 3.7.4 without the need to modify these )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(programs. This book is aimed at newcomers and middle-level students, as well )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(as members of the scientific community who are interested in solving math )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(problems using MATLAB or Python.)] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(Learning SciPy for Numerical and Scientific Computing - Second Edition)] TJ ET
BT 345.050 289.836 Td /F1 9.8 Tf [( Sergio )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(G. 2015 Quick solutions to complex numerical problems in physics, applied )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(mathematics, and science with SciPy In Detail SciPy is an open source Python )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(library used to perform scientific computing. The SciPy \(Scientific Python\) )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(package extends the functionality of NumPy with a substantial collection of )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(useful algorithms. The book starts with a brief description of the SciPy libraries, )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(followed by a chapter that is a fun and fast-paced primer on array creation, )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(manipulation, and problem-solving. You will also learn how to use SciPy in linear )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(algebra, which includes topics such as computation of eigenvalues and )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(eigenvectors. Furthermore, the book is based on interesting subjects such as )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(definition and manipulation of functions, computation of derivatives, integration, )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(interpolation, and regression. You will also learn how to use SciPy in signal )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(processing and how applications of SciPy can be used to collect, organize, )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(analyze, and interpret data. By the end of the book, you will have fast, accurate, )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(and easy-to-code solutions for numerical and scientific computing applications. )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(What You Will Learn Get to know the benefits of using the combination of )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(Python, NumPy, SciPy, and matplotlib as a programming environment for )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(scientific purposes Create and manipulate an object array used by SciPy Use )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(SciPy with large matrices to compute eigenvalues and eigenvectors Focus on )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(construction, acquisition, quality improvement, compression, and feature )] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(extraction of signals Make use of SciPy to collect, organize, analyze, and )] TJ ET
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BT 34.016 551.740 Td /F1 9.8 Tf [(interpret data, with examples taken from statistics and clustering Acquire the skill )] TJ ET
BT 34.016 539.836 Td /F1 9.8 Tf [(of constructing a triangulation of points, convex hulls, Voronoi diagrams, and )] TJ ET
BT 34.016 527.931 Td /F1 9.8 Tf [(many similar applications Find out ways that SciPy can be used with other )] TJ ET
BT 34.016 516.026 Td /F1 9.8 Tf [(languages such as C/C++, Fortran, and MATLAB/Octave Downloading the )] TJ ET
BT 34.016 504.121 Td /F1 9.8 Tf [(example code for this book. You can download the example code files for all )] TJ ET
BT 34.016 492.217 Td /F1 9.8 Tf [(Packt books you have purchased from your account at )] TJ ET
BT 34.016 480.312 Td /F1 9.8 Tf [(http://www.PacktPub.com. If you purchased this book elsewhere, you can visit )] TJ ET
BT 34.016 468.407 Td /F1 9.8 Tf [(http://www.PacktPub.com/support and register to have the files e-mailed directly )] TJ ET
BT 34.016 456.502 Td /F1 9.8 Tf [(to you.)] TJ ET
BT 34.016 444.598 Td /F1 9.8 Tf [(Mastering Python Scientific Computing)] TJ ET
BT 201.452 444.598 Td /F1 9.8 Tf [( Hemant Kumar Mehta 2015-09-23 A )] TJ ET
BT 34.016 432.693 Td /F1 9.8 Tf [(complete guide for Python programmers to master scientific computing using )] TJ ET
BT 34.016 420.788 Td /F1 9.8 Tf [(Python APIs and tools About This Book The basics of scientific computing to )] TJ ET
BT 34.016 408.883 Td /F1 9.8 Tf [(advanced concepts involving parallel and large scale computation are all )] TJ ET
BT 34.016 396.979 Td /F1 9.8 Tf [(covered. Most of the Python APIs and tools used in scientific computing are )] TJ ET
BT 34.016 385.074 Td /F1 9.8 Tf [(discussed in detail The concepts are discussed with suitable example programs )] TJ ET
BT 34.016 373.169 Td /F1 9.8 Tf [(Who This Book Is For If you are a Python programmer and want to get your )] TJ ET
BT 34.016 361.264 Td /F1 9.8 Tf [(hands on scientific computing, this book is for you. The book expects you to )] TJ ET
BT 34.016 349.360 Td /F1 9.8 Tf [(have had exposure to various concepts of Python programming. What You Will )] TJ ET
BT 34.016 337.455 Td /F1 9.8 Tf [(Learn Fundamentals and components of scientific computing Scientific )] TJ ET
BT 34.016 325.550 Td /F1 9.8 Tf [(computing data management Performing numerical computing using NumPy )] TJ ET
BT 34.016 313.645 Td /F1 9.8 Tf [(and SciPy Concepts and programming for symbolic computing using SymPy )] TJ ET
BT 34.016 301.741 Td /F1 9.8 Tf [(Using the plotting library matplotlib for data visualization Data analysis and )] TJ ET
BT 34.016 289.836 Td /F1 9.8 Tf [(visualization using Pandas, matplotlib, and IPython Performing parallel and high )] TJ ET
BT 34.016 277.931 Td /F1 9.8 Tf [(performance computing Real-life case studies and best practices of scientific )] TJ ET
BT 34.016 266.026 Td /F1 9.8 Tf [(computing In Detail In today's world, along with theoretical and experimental )] TJ ET
BT 34.016 254.122 Td /F1 9.8 Tf [(work, scientific computing has become an important part of scientific disciplines. )] TJ ET
BT 34.016 242.217 Td /F1 9.8 Tf [(Numerical calculations, simulations and computer modeling in this day and age )] TJ ET
BT 34.016 230.312 Td /F1 9.8 Tf [(form the vast majority of both experimental and theoretical papers. In the )] TJ ET
BT 34.016 218.407 Td /F1 9.8 Tf [(scientific method, replication and reproducibility are two important contributing )] TJ ET
BT 34.016 206.503 Td /F1 9.8 Tf [(factors. A complete and concrete scientific result should be reproducible and )] TJ ET
BT 34.016 194.598 Td /F1 9.8 Tf [(replicable. Python is suitable for scientific computing. A large community of )] TJ ET
BT 34.016 182.693 Td /F1 9.8 Tf [(users, plenty of help and documentation, a large collection of scientific libraries )] TJ ET
BT 34.016 170.788 Td /F1 9.8 Tf [(and environments, great performance, and good support makes Python a great )] TJ ET
BT 34.016 158.884 Td /F1 9.8 Tf [(choice for scientific computing. At present Python is among the top choices for )] TJ ET
BT 34.016 146.979 Td /F1 9.8 Tf [(developing scientific workflow and the book targets existing Python developers )] TJ ET
BT 34.016 135.074 Td /F1 9.8 Tf [(to master this domain using Python. The main things to learn in the book are the )] TJ ET
BT 34.016 123.169 Td /F1 9.8 Tf [(concept of scientific workflow, managing scientific workflow data and performing )] TJ ET
BT 34.016 111.265 Td /F1 9.8 Tf [(computation on this data using Python. The book discusses NumPy, SciPy, )] TJ ET
BT 34.016 99.360 Td /F1 9.8 Tf [(SymPy, matplotlib, Pandas and IPython with several example programs. Style )] TJ ET
BT 34.016 87.455 Td /F1 9.8 Tf [(and approach This book follows a hands-on approach to explain the complex )] TJ ET
BT 34.016 75.550 Td /F1 9.8 Tf [(concepts related to scientific computing. It details various APIs using appropriate )] TJ ET
BT 34.016 63.646 Td /F1 9.8 Tf [(examples.)] TJ ET
BT 34.016 51.741 Td /F1 9.8 Tf [(Learning Scipy for Numerical and Scientific Computing Second Edition)] TJ ET
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