• Book

    Cython _ A Guide for Python Programmers

    Auteur: Kurt W. Smith

    Cython _ A Guide for Python Programmers

    • Auteur: Kurt W. Smith
    • ISBN: 978-1-491-90155-7

    Cython can yield massive performance improvements over pure Python--speedups of 3000X are easily attainable for certain patterns. With this book, Kurt Smith shows you how to use Cython to easily wrap C and C++ libraries in Python, handling all the details of memory management for you. By removing the barrier between Python and C, Cython harnesses the best of both languages while remaining familiar and comfortable to Python users. Cython has proven its usefulness in many foundational projects: Pandas, SymPy, Sage, and dozens of others, both open and closed source. You'll learn how Cython is an essential part of any performance-oriented Python programmer's arsenal.

  • Book

    Math for Programmers _ 3D Graphics, Machine Learning, and Simulations with Python

    Auteur: Paul Orland

    Math for Programmers _ 3D Graphics, Machine Learning, and Simulations with Python

    • Auteur: Paul Orland
    • ISBN: -

    To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting-and lucrative!-careers in some of today's hottest programming fields.

  • Book

    Visual Studio Code for Python Programmers

    Auteur: April Speight

    Visual Studio Code for Python Programmers

    • Auteur: April Speight
    • ISBN: 978-1-119-77336-8

    Visual Studio Code for Python Programmers helps Python developers become not just familiar, but productive in Visual Studio Code. To start, you’ll find the steps for installing Visual Studio Code on Windows, Mac and Linux platforms, along with an introduction to the editing features of the workspace. Coverage of more advanced functionality includes managing source code, debugging, unit testing, and Jupyter Notebook support. The book finishes with a walk-through of real-world projects which utilize Visual Studio Code features introduced in the book. For developers, the choice of an editor is a very personal one. You have idiosyncratic needs and wants that are unique to you as a developer. This book will help you learn how to customize Visual Studio Code to meet your needs and Python development workflow. Introduces you to the features of the Visual Studio Code workspace and how those features can be customized Demonstrates how Visual Studio Code allows you to choose your structure according to your needs Covers editing code in Python, including syntax highlighting, code completion, object definition, refactoring, and code navigation Describes Git integration and how to perform common Git functions (commits, checkouts, branches, and merges) from within Visual Studio Code Highlights debugging features for Python developers A final section on Real World Applications will step you through several examples (and features integration with Django, Flask, Jupyter Notebook, Docker, and Azure), so you can hit the ground running with Visual Studio Code.

  • Book

    Raspberry Pi 3 Cookbook for Python Programmers

    Auteur: Tim Cox, Dr. Steven Lawrence Fernandes

    Raspberry Pi 3 Cookbook for Python Programmers

    • Auteur: Tim Cox, Dr. Steven Lawrence Fernandes
    • ISBN: 978-1-78862-987-4

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  • Book

    Python for Programmers

    Auteur: Paul Deitel & Harvey Deitel

    Python for Programmers

    • Auteur: Paul Deitel & Harvey Deitel
    • ISBN: 9780135224335

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  • Book

    Introduction to Computation and Programming Using Python

    Auteur: John V. Guttag

    Introduction to Computation and Programming Using Python

    • Auteur: John V. Guttag
    • ISBN: 978-0-262-51963-2

    This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of “data science” for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT’s OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (or MOOC) offered by the pioneering MIT–Harvard collaboration edX. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.

  • Book

    Programmation python

    Auteur: Tarek Ziadé

    Programmation python

    • Auteur: Tarek Ziadé
    • ISBN: 2-212-11677-2

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  • Book

    Competitive Programming in Python

    Auteur: CHRISTOPH DÜRR, JILL-JÊNN VIE

    Competitive Programming in Python

    • Auteur: CHRISTOPH DÜRR, JILL-JÊNN VIE
    • ISBN: 978-1-108-71682-6

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  • Book

    Machine Learning Step-by-Step Guide To Implement Machine Learning Algorithms with Python

    Auteur: Rudolph Russell

  • Book

    P y t h o n Crash Course 2nd Edition

    Auteur: Eric Matthes

    P y t h o n Crash Course 2nd Edition

    • Auteur: Eric Matthes
    • ISBN: 978-1-59327-928-8

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  • Book

    Learn Python 3 The Hard Way A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code Zed A. Shaw

    Auteur: -

  • Book

    Mastering Machine Learning with Python in Six Steps

    Auteur: Bangalore, Karnataka, India

    Mastering Machine Learning with Python in Six Steps

    • Auteur: Bangalore, Karnataka, India
    • ISBN: 978-1-4842-2865-4

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