Python Developer's Handbook

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Author :
Release : 2001
Genre : Electronic books
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Book Rating : 945/5 ( reviews)

Python Developer's Handbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Python Developer's Handbook write by André dos Santos Lessa. This book was released on 2001. Python Developer's Handbook available in PDF, EPUB and Kindle. "Python Developer's Handbook" offers experienced developers the knowledge to fully develop their skills as a Python programmer. The material focuses exclusively on the specific topic at hand and avoids general programming topics, except where unique concerns are encountered.

Python Data Science Handbook

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Release : 2016-11-21
Genre : Computers
Kind :
Book Rating : 138/5 ( reviews)

Python Data Science Handbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Python Data Science Handbook write by Jake VanderPlas. This book was released on 2016-11-21. Python Data Science Handbook available in PDF, EPUB and Kindle. 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

The Hitchhiker's Guide to Python

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Release : 2016-08-30
Genre : Computers
Kind :
Book Rating : 224/5 ( reviews)

The Hitchhiker's Guide to Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Hitchhiker's Guide to Python write by Kenneth Reitz. This book was released on 2016-08-30. The Hitchhiker's Guide to Python available 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 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.

PostgreSQL Developer's Handbook

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Release : 2002
Genre : Computers
Kind :
Book Rating : 600/5 ( reviews)

PostgreSQL Developer's Handbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook PostgreSQL Developer's Handbook write by Ewald Geschwinde. This book was released on 2002. PostgreSQL Developer's Handbook available in PDF, EPUB and Kindle. "PostgreSQL Developer's Handbook" provides a complete overview of the PostgreSQL database server and extensive coverage of its core features, including object orientation, PL/SQL, and the most important programming interfaces. The authors introduce the reader to the language and syntax of PostgreSQL and then move quickly into sophisticated programming topics.

Fluent Python

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Release : 2015-07-30
Genre : Computers
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Book Rating : 253/5 ( reviews)

Fluent Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fluent Python write by Luciano Ramalho. This book was released on 2015-07-30. Fluent Python available in PDF, EPUB and Kindle. Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work