Modern Python Cookbook: 133 recipes to develop flawless and expressive programs in Python 3.8

by Steven F. Lott

Overview

Complete recipes spread across 15 chapters to help you overcome commonly faced issues by Python for everybody across the globe. Each recipe takes a problem-solution approach to resolve for effective Python.

• Develop expressive and effective Python programs

• Best practices and common idioms through carefully explained recipes

• Discover new ways to apply Python for data-focused development

• Make use of Python's optional type annotations

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand.

This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications.

The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it.

By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.

• See the intricate details of the Python syntax and how to use it to your advantage

• Improve your coding with Python readability through functions

• Manipulate data effectively using built-in data structures

• Get acquainted with advanced programming techniques in Python

• Equip yourself with functional and statistical programming features

• Write proper tests to be sure a program works as advertised

• Integrate application software using Python

The Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book will get you started. If you are experienced, it will expand your knowledge base. A basic knowledge of programming would help.

Product Details

ISBN-13:	9781800205802
Publisher:	Packt Publishing
Publication date:	07/31/2020
Sold by:	Barnes & Noble
Format:	eBook
Pages:	822
File size:	2 MB

About the Author

Steven Lott has been programming since computers were large, expensive, and rare. Working for decades in high tech has given him exposure to a lot of ideas and techniques, some bad, but most are helpful to others. Since the 1990s, Steven has been engaged with Python, crafting an array of indispensable tools and applications. His profound expertise has led him to contribute significantly to Packt Publishing, penning notable titles like "Mastering Object-Oriented," "The Modern Python Cookbook," and "Functional Python Programming." A self-proclaimed technomad, Steven's unconventional lifestyle sees him residing on a boat, often anchored along the vibrant east coast of the US. He tries to live by the words “Don't come home until you have a story.”

Table of Contents

Table of Contents

1. Numbers, Strings, and Tuples
2. Statements and Syntax
3. Function Definitions
4. Built-In Data Structures Part 1: Lists and Sets
5. Built-In Data Structures Part 2: Dictionaries
6. User Inputs and Outputs
7. Basics of Classes and Objects
8. More Advanced Class Design
9. Functional Programming Features
10. Input/Output, Physical Format, and Logical Layout
11. Testing
12. Web Services
13. Application Integration: Configuration
14. Application Integration: Combination
15. Statistical Programming and Linear Regression