Secret recipes of the Python Ninja : over 70 recipes that uncover powerful programming tactics in Python / Cody Jackson.

Format:

Book

Author/Creator:

Jackson, Cody, author.

Language:

English

Subjects (All):

Python (Computer program language).

Physical Description:

1 online resource (380 pages)

Edition:

1st edition

Place of Publication:

Birmingham ; Mumbai : Packt Publishing, [2018]

System Details:

text file

Summary:

Test your Python programming skills by solving real-world problems About This Book 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 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. 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 In Detail 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. Style and approach Recipe based approach where each problem is solved with the help of step by step instructions.

Contents:

Cover

Title Page

Copyright and Credits

Packt Upsell

Foreword

Contributors

Table of Contents

Preface

Chapter 1: Working with Python Modules

Introduction

Using and importing modules and namespaces

How to do it...

How it works...

There's more...

Implementing virtual Python environments

Getting ready

Python package installation options

Utilizing requirement files and resolving conflicts

Using local patches and constraint files

Working with packages

Creating wheels and bundles

Comparing source code to bytecode

How to create and reference module packages

Operating system-specific binaries

How to upload programs to PyPI

Project packaging

Uploading to PyPI

Chapter 2: Utilizing the Python Interpreter

Launching Python environments

Utilizing Python command options

Interface options

Generic options

Miscellaneous options

See also...

Working with environment variables

Making scripts executable

Modifying interactive interpreter startup

See also.

Alternative Python implementations

Installing Python on Windows

Using the Windows Python launcher

Embedding Python with other applications

Using alternative Python shells - IPython

Using alternative Python shells - bpython

Using alternative Python shells - DreamPie

Chapter 3: Working with Decorators

Reviewing functions

Introducing decorators

Using function decorators

Using class decorators

Examples of decorators

Using the decorators module

See also

Chapter 4: Using Python Collections

Reviewing containers

Lists and tuples

Dictionaries

Sets

Implementing namedtuple

Implementing deque

Implementing ChainMap

Implementing Counters

Implementing OrderedDict

Implementing defaultdict

Implementing UserDict

Implementing UserList

Implementing UserString

Improving Python collections

Default dictionaries

Named tuples

Ordered dictionaries

Looking at the collections - extended module

Getting ready.

How to do it...

setlist

bags

RangeMap

Bijection

Chapter 5: Generators, Coroutines, and Parallel Processing

How iteration works in Python

Using the itertools module

Infinite iterators

Combinatoric iterators

Terminating iterators

Using generator functions

Simulating multithreading with coroutines

When to use parallel processing

Forking processes

How to implement multithreading

Advantages

Disadvantages

How to implement multiprocessing

Chapter 6: Working with Python's Math Module

Using the math module's functions and constants

Working with complex numbers

Improving decimal numbers

Increasing accuracy with fractions

Working with random numbers

Using the secrets module

Implementing basic statistics

Improving functionality with comath

Chapter 7: Improving Python Performance with PyPy

What is PyPy?

What is RPython?

Flow restrictions

Object restrictions

Integer types

Some real-world examples

Chapter 8: Python Enhancement Proposals

What are PEPs?

PEP 556 - Threaded garbage collection

PEP 554 - Multiple subinterpreters.

Channels

PEP 551 - Security transparency

General security

Python and security

PEP 543 - Unified TLS API

Chapter 9: Documenting with LyX

Python documentation tools and techniques

Inline comments and the dir command

Using docstrings

Using PyDoc help

HTML reports

Using reStructuredText files

Using the Sphinx documentation program

Using LaTeX and LyX document preparation programs

Other Books You May Enjoy

Index.

Notes:

Description based on print version record.

OCLC:

1038494970