[NulledPremium com] Secret Recipes of the Python Ninja Over 70 recipes

Book details

Format: pdf

File Size: 26 MB

Print Length: 384 pages

Page Numbers Source ISBN: 1788294874

Publisher: Packt Publishing; 1 edition (21 May 2018)

Sold by: Amazon Asia-Pacific Holdings Private Limited

Language: English

ASIN: B07BYBMGQT



Who This Book Is For

Whether you’ve been working with Python for a few years or you’re a seasoned programmer, you’ll have a lot of new tricks to walk away with.



Key Features

Access built-in documentation tools and improve your code.

Discover how to make the best use of decorator and generator functions

Enhance speed and improve concurrency by conjuring tricks from the PyPy project

Book Description

This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries.

You’ll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You’ll understand the implementation of collections, decimals, and fraction modules. If you haven’t used decorators, coroutines, and generator functions much before, as you make your way through the recipes, you’ll learn what you’ve been missing out on.



We’ll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. Next, you’ll explore the CPython interpreter, which is a treasure trove of secret hacks that not many programmers are aware of. We’ll take you through the depths of the PyPy project, where you’ll come across several exciting ways that you can improve speed and concurrency.



Finally, we’ll take time to explore the PEPs of the latest versions to discover some interesting hacks.



What you will learn



Know the differences between .py and .pyc files

Explore the different ways to install and upgrade Python packages

Understand the working of the PyPI module that enhances built-in decorators

See how coroutines are different from generators and how they can simulate multithreading

Grasp how the decimal module improves floating point numbers and their operations

Standardize sub interpreters to improve concurrency

Discover Python’s built-in docstring analyzer

Table of Contents

Working with Python Modules

Utilizing the Python Interpreter

Working with Decorators

Using Python Collections

Generators, Coroutines, and Parallel Processing

Working with Python’s Math Module

Improving Python Performance with PyPy

Python Enhancement Proposals

Documenting with LyX



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