Архивы по Категориям: Python

Introduction to Computational Models with Python

Название: Introduction to Computational Models with Python

Автор: Jose M. Garrido
Год: 2015
Издательство: Chapman and Hall/CRC
ISBN: 978-1498712033
Страниц: 496
Language: English
Формат: PDF
Размер: 11 Mb
Описание: Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy modules.

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Python Application Hacking Essentials

Название: Python Application Hacking Essentials

Автор: Earnest Wish, Leo
Год: 2015
Издательство: Amazon Digital Services, Inc
ISBN: 978-1511797566
Страниц: 71
Language: English
Формат: PDF/AZW4
Размер: 6 Mb
Описание: This book is not for professional hackers. Instead, this book is made for beginners who have programming experience and are interested in hacking. Here, hacking techniques that can be easily understood have been described. If you only have a home PC, you can test all the examples provided here.

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Python Network Hacking Essentials

Название: Python Network Hacking Essentials

Автор: Earnest Wish, Leo
Год: 2015
Издательство: Amazon Digital Services, Inc
ISBN: 978-1511797566
Страниц: 112
Language: English
Формат: PDF/AZW4
Размер: 4 Mb
Описание: This book is not for professional hackers. Instead, this book is made for beginners who have programming experience and are interested in hacking. Here, hacking techniques that can be easily understood have been described.

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Python Web Hacking Essentials

Название: Python Web Hacking Essentials

Автор: Earnest Wish, Leo
Год: 2015
Издательство: Amazon Digital Services, Inc
ISBN: 978-1511797566
Страниц: 98
Language: English
Формат: PDF/AZW4
Размер: 5 Mb
Описание: Target Audience This book is not for professional hackers. Instead, this book is made for beginners who have programming experience and are interested in hacking. Here, hacking techniques that can be easily understood have been described.

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Python Parallel Programming Cookbook

Название: Python Parallel Programming Cookbook

Автор: Giancarlo Zaccone
Год: 2015
Издательство: Packt Publishing
ISBN: 978-1-78528-958-3
Страниц: 262
Language: English
Формат: PDF/EPUB/MOBI +Code
Размер: 18 Mb
Описание: Parallel programming techniques are required for a developer to get the best use of all the computational resources available today and to build efficient software systems. From multi-core to GPU systems up to the distributed architectures, the high computation of programs throughout requires the use of programming tools and software libraries. Because of this, it is becoming increasingly important to know what the parallel programming techniques are. Python is commonly used as even non-experts can easily deal with its concepts.

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Mastering Python for Data Science

Название: Mastering Python for Data Science

Автор: Samir Madhavan
Год: 2015
Издательство: Packt Publishing
ISBN: 978-1-78439-015-0
Страниц: 294
Language: English
Формат: PDF
Размер: 10 Mb
Описание: Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving.

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A Primer on Scientific Programming with Python, 4th Edition

Название: A Primer on Scientific Programming with Python, 4th Edition

Автор: Hans Petter Langtangen
Год: 2014
Издательство: Springer
ISBN: 978-3-642-54958-8
Страниц: 872
Language: English
Формат: PDF
Размер: 5 Mb
Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance.

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