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Home > Programming > Expert Python Programming, - Third Edition
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Expert Python Programming, - Third Edition
Expert Python Programming, - Third Edition

Expert Python Programming,: Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7, Third Edition

By Michał Jaworski , Tarek Ziadé
$29.99 $20.98
Book Apr 2019 646 pages 3rd Edition
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Product Details

Publication date : Apr 30, 2019
Length 646 pages
Edition : 3rd Edition
Language : English
ISBN-13 : 9781789808896
Category :
Programming
Languages :
Python (Intermediate)
Concepts :
Programming Language
Table of content icon View table of contents Preview book icon Preview Book

Expert Python Programming, - Third Edition

Section 1: Before You Start

This part prepares the user for the modern Python development routine. It explains how Python has changed over the last few years and what the common development tools used by modern Python programmers are.

The following chapters are included in this section:

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Page 1 of 1

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Key benefits

  • Create manageable code that can run in various environments with different sets of dependencies
  • Implement effective Python data structures and algorithms to write optimized code
  • Discover the exciting new features of Python 3.7

Description

Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the naming best practices, writing your own distributable Python packages, and getting up to speed with automated ways to deploy your software on remote servers. You’ll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code.

What you will learn

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 Demystify metaprogramming in Python with metaclasses Write concurrent code in Python Extend and integrate Python with code written in different languages

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details

Publication date : Apr 30, 2019
Length 646 pages
Edition : 3rd Edition
Language : English
ISBN-13 : 9781789808896
Category :
Programming
Languages :
Python (Intermediate)
Concepts :
Programming Language

Table of Contents

25 Chapters
Preface Chevron down icon Chevron up icon
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1. Section 1: Before You Start Chevron down icon Chevron up icon
Section 1: Before You Start
2. Current Status of Python Chevron down icon Chevron up icon
Current Status of Python
Technical requirements
Where are we now and where we are going to?
Why and how Python changes
Being up-to-date with changes ­by following PEP documents
Python 3 adoption at the time of writing this book
The main differences between Python 3 and Python 2
Not only CPython
Useful resources
Summary
3. Modern Python Development Environments Chevron down icon Chevron up icon
Modern Python Development Environments
Technical requirements
Installing additional Python packages using pip
Isolating the runtime environment
Python's venv
System-level environment isolation
Popular productivity tools
Summary
4. Section 2: Python Craftsmanship Chevron down icon Chevron up icon
Section 2: Python Craftsmanship
5. Modern Syntax Elements - Below the Class Level Chevron down icon Chevron up icon
Modern Syntax Elements - Below the Class Level
Technical requirements
Python's built-in types
Supplemental data types and containers
Advanced syntax
Functional-style features of Python
Function and variable annotations
Other syntax elements you may not know of yet
Summary
6. Modern Syntax Elements - Above the Class Level Chevron down icon Chevron up icon
Modern Syntax Elements - Above the Class Level
Technical requirements
The protocols of the Python language – dunder methods and attributes
Reducing boilerplate with data classes
Subclassing built-in types
MRO and accessing methods from superclasses
Advanced attribute access patterns
Summary
7. Elements of Metaprogramming Chevron down icon Chevron up icon
Elements of Metaprogramming
Technical requirements
What is metaprogramming?
Summary
8. Choosing Good Names Chevron down icon Chevron up icon
Choosing Good Names
Technical requirements
PEP 8 and naming best practices
Naming styles
The naming guide
Best practices for arguments
Class names
Module and package names
Useful tools
Summary
9. Writing a Package Chevron down icon Chevron up icon
Writing a Package
Technical requirements
Creating a package
Namespace packages
Uploading a package
Standalone executables
Summary
10. Deploying the Code Chevron down icon Chevron up icon
Deploying the Code
Technical requirements
The Twelve-Factor App
Various approaches to deployment automation
Your own package index or index mirror
Common conventions and practices
Code instrumentation and monitoring
Summary
11. Python Extensions in Other Languages Chevron down icon Chevron up icon
Python Extensions in Other Languages
Technical requirements
Differentiating between the C and C++ languages
The need to use extensions
Writing extensions
Challenges with using extensions
Interfacing with dynamic libraries without extensions
Summary
12. Section 3: Quality over Quantity Chevron down icon Chevron up icon
Section 3: Quality over Quantity
13. Managing Code Chevron down icon Chevron up icon
Managing Code
Technical requirements
Working with a version control system
Setting up continuous development processes
Summary
14. Documenting Your Project Chevron down icon Chevron up icon
Documenting Your Project
Technical requirements
The seven rules of technical writing
Documentation as code
Popular documentation generators for Python libraries
Documenting web APIs
Building a well-organized documentation system
Summary
15. Test-Driven Development Chevron down icon Chevron up icon
Test-Driven Development
Technical requirements
I don't test
I do test
Summary
16. Section 4: Need for Speed Chevron down icon Chevron up icon
Section 4: Need for Speed
17. Optimization - Principles and Profiling Techniques Chevron down icon Chevron up icon
Optimization - Principles and Profiling Techniques
Technical requirements
The three rules of optimization
Optimization strategy
Finding bottlenecks
Summary
18. Optimization - Some Powerful Techniques Chevron down icon Chevron up icon
Optimization - Some Powerful Techniques
Technical requirements
Defining complexity
Reducing complexity by choosing proper data structures
Using collections
Using architectural trade-offs
Caching
Summary
19. Concurrency Chevron down icon Chevron up icon
Concurrency
Technical requirements
Why concurrency?
Multithreading
Multiprocessing
Asynchronous programming
Summary
20. Section 5: Technical Architecture Chevron down icon Chevron up icon
Section 5: Technical Architecture
21. Event-Driven and Signal Programming Chevron down icon Chevron up icon
Event-Driven and Signal Programming
Technical requirements
What exactly is event-driven programming?
Various styles of event-driven programming
Event-driven architectures
Summary
22. Useful Design Patterns Chevron down icon Chevron up icon
Useful Design Patterns
Technical requirements
Creational patterns
Structural patterns
Behavioral patterns
Summary
23. reStructuredText Primer Chevron down icon Chevron up icon
reStructuredText Primer
reStructuredText
24. Other Books You May Enjoy Chevron down icon Chevron up icon
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Authors (4)

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Profile icon Tarek Ziade
Tarek Ziadé is a Python developer located in the countryside near Dijon, France. He works at Mozilla in the services team. He founded a French Python user group called Afpy, and has written several books about Python in French and English. When he is not hacking on his computer or hanging out with his family, he's spending time between his two passions, running and playing the trumpet. You can visit his personal blog (Fetchez le Python) and follow him on Twitter (tarek_ziade).
See other products by Tarek Ziade
Profile icon Mr. Michał Jaworski
Python
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Profile icon Mr. Tarek Ziadé
LinkedIn Github
Tarek Ziadé is a Software Engineer, located in Burgundy, France. He works at Elastic, building tools for developers. Before Elastic, he worked at Mozilla for 10 years. Tarek founded a French Python User group called Afpy. He has written several articles on the Python programming language for various magazines and also a few books in French and English.
See other products by Mr. Tarek Ziadé
Profile icon Cody Jackson
Cody Jackson is a disabled military veteran, the founder of Socius Consulting, an IT and business management consulting company in San Antonio, Texas, and a co-founder of Top Men Technologies with Scott Thompson. He is currently employed at CACI International as the lead ICS/SCADA modeling and simulations engineer. He has been involved in the tech industry since 1994, when he left Gateway Computers to join the Navy as a nuclear chemist and radcon technician. Prior to joining CACI, he worked at ECPI University as a computer information systems adjunct professor. He is a self-taught Python programmer, and is the author of Learning to Program Using Python and Secret Recipes of the Python Ninja. He holds an Associate in Science degree in electromechanical technology, a Bachelor of Science degree in computer engineering technology, and a Master of Science degree in IT management, as well as numerous IT certifications.
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