The Hitchhiker s Guide to Python

The Hitchhiker s Guide to Python
Author: Kenneth Reitz,Tanya Schlusser
Publsiher: "O'Reilly Media, Inc."
Total Pages: 322
Release: 2016-08-30
Genre: Computers
ISBN: 9781491933237

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The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversityâ??and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhikerâ??s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

The Hitchhiker s Guide to Python

The Hitchhiker s Guide to Python
Author: Kenneth Reitz,Tanya Schlusser
Publsiher: "O'Reilly Media, Inc."
Total Pages: 338
Release: 2016-08-30
Genre: Computers
ISBN: 9781491933220

Download The Hitchhiker s Guide to Python Book in PDF, Epub and Kindle

The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversity—and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhiker’s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

Introducing Python

Introducing Python
Author: Bill Lubanovic
Publsiher: "O'Reilly Media, Inc."
Total Pages: 630
Release: 2019-11-06
Genre: Computers
ISBN: 9781492051329

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Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.

Python Cookbook

Python Cookbook
Author: David Beazley,Brian K. Jones
Publsiher: "O'Reilly Media, Inc."
Total Pages: 706
Release: 2013-05-10
Genre: Computers
ISBN: 9781449357351

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If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms. Inside, you’ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works. Topics include: Data Structures and Algorithms Strings and Text Numbers, Dates, and Times Iterators and Generators Files and I/O Data Encoding and Processing Functions Classes and Objects Metaprogramming Modules and Packages Network and Web Programming Concurrency Utility Scripting and System Administration Testing, Debugging, and Exceptions C Extensions

So Long and Thanks for All the Fish

So Long  and Thanks for All the Fish
Author: Douglas Adams
Publsiher: Pan Macmillan
Total Pages: 184
Release: 2009-09-01
Genre: Fiction
ISBN: 9780330513173

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So Long, and Thanks for All the Fish is the fourth installment in Douglas Adams' bestselling cult classic, the Hitchhiker's Guide to the Galaxy 'trilogy'. This edition includes exclusive bonus material from the Douglas Adams archives, and an introduction by Neil Gaiman. There is a knack to flying. The knack lies in learning how to throw yourself at the ground and miss. It's not an easy thing to do, and Arthur Dent thinks he's the only human who's been able to master this nifty little trick – until he meets Fenchurch, the woman of his dreams. Fenchurch once realized how the world could be made a good and happy place. Unfortunately, she's forgotten. Convinced that the secret lies within God's Final Message to His Creation, they go in search of it. And, in a dramatic break with tradition, actually find it . . . Follow Arthur Dent's galactic (mis)adventures in the last of the 'trilogy of five', Mostly Harmless.

Python Data Science Handbook

Python Data Science Handbook
Author: Jake VanderPlas
Publsiher: "O'Reilly Media, Inc."
Total Pages: 743
Release: 2016-11-21
Genre: Computers
ISBN: 9781491912133

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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Wish You Were Here

Wish You Were Here
Author: Nick Webb
Publsiher: Ballantine Books
Total Pages: 368
Release: 2005-03-29
Genre: Biography & Autobiography
ISBN: 9780345481887

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“This amusing, sad, and heartfelt look at [Adams’s] lifeis a true gift.”—New York Post It all started when Douglas Adams demolished planet Earth in order to make way for an intergalactic expressway—and then invited everyone to thumb a ride on a comical cosmic road trip in The Hitchhiker’s Guide to the Galaxy. Adams made the universe a much funnier place to inhabit and forever changed the way we think about towels, extraterrestrial poetry, and especially the number 42. And then, too soon, he was gone. In Wish You Were Here, Nick Webb, a longtime friend of the author, reveals the many sides, quirks, and contradictions of Douglas Adams. A summation as celebration, it is a look back at a life well worth the vicarious reliving, as studded with anecdote, droll comic incident, and heartfelt insight as its subject’s own unforgettable tales of cosmic wanderlust. Praise for Wish You Were Here “Webb’s tale brims with affection and humour; every page is a delight.”—The Daily Mail “It’s perhaps the ultimate credit to Webb that he can be just as funny as Adams in his writing. With many of the same veins of humour that Adams had running throughout this biography, it’s as if the great hitchhiker has never really left.”—The Leeds Guide

Learning Python

Learning Python
Author: Mark Lutz
Publsiher: "O'Reilly Media, Inc."
Total Pages: 1740
Release: 2013-06-12
Genre: Computers
ISBN: 9781449355692

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Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing