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Python Programming Advanced: The Guide for Data Analysis and Data Science


English | 2019 | ASIN: B07Z6KBV1W | 161 Pages | PDF/AZW3 | 2.97 MB
Python is a dynamic programming language that, due to its simple but efficient nature, is used in a wide range of domains. While writing Python code is easy, it is challenging to make it readable, reusable and easy to maintain. This third edition on Expert Python Programming will help you overcome this challenge, complete with best practices, necessary and useful tools and standards applied by experienced Python developers.

In addition to learning how to implement principles from different programming paradigms, including object-oriented programming, functional programming and event-driven programming, you can learn the specialized components of Python syntax.

By the end of the book, you will have become an expert in writing efficient and maintainable Python code.

What you will learn

getting up to speed with automated ways of deploying your software on remote servers.
create useful Python extensions with C, C++, Cython, and CFFI.
studying about code management tools, writing clear documentation, and exploring test driven development which will help you write clean code.
Explore modern ways of setting up repeatable and consistent development environments
Package Python code effectively for community and production use
Learn modern syntax elements of Python programming such as f-strings, enums, and lambda functions
Write concurrent code in Python
Extend and integrate Python with code written in different languages
And so much more

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Published in Python


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