English | 2021 | ISBN: 1801815097 | 553 pages | True PDF EPUB | 10.49 MB

Get up and running with Python 3.9 through concise tutorials and practical projects in this fully updated third edition

Key Features

Extensively revised with richer examples, Python 3.9 syntax, and new chapters on APIs and packaging and distributing Python code

Discover how to think like a Python programmer

Learn the fundamentals of Python through real-world projects in API development, GUI programming, and data science

Book Description

Learn Python Programming, Third Edition is both a theoretical and practical introduction to Python, an extremely flexible and powerful programming language that can be applied to many disciplines. This book will make learning Python easy and give you a thorough understanding of the language. You'll learn how to write programs, build modern APIs, and work with data by using renowned Python data science libraries.

This revised edition covers the latest updates on API management, packaging applications, and testing. There is also broader coverage of context managers and an updated data science chapter.

The book empowers you to take ownership of writing your software and become independent in fetching the resources you need. You will have a clear idea of where to go and how to build on what you have learned from the book.

Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned.

What you will learn

Get Python up and running on Windows, Mac, and Linux

Write elegant, reusable, and efficient code in any situation

Avoid common pitfalls like duplication, complicated design, and over-eeering

Understand when to use the functional or object-oriented approach to programming

Build a simple API with FastAPI and program GUI applications with Tkinter

Get an initial overview of more complex topics such as data persistence and cryptography

Fetch, clean, and manipulate data, making efficient use of Python's built-in data structures

Who this book is for

This book is for everyone who wants to learn Python from scratch, as well as experienced programmers looking for a reference book. Prior knowledge of basic programming concepts will help you follow along, but it's not a prerequisite.

Table of Contents

A Gentle Introduction to Python

Built-In Data Types

Conditionals and Iteration

Functions, the Building Blocks of Code

Comprehensions and Generators

OOP, Decorators, and Iterators

Exceptions and Context Managers

Files and Data Persistence

Cryptography and Tokens

Testing

Debugging and Profiling

GUIs and Scripting

Data Science in Brief

Introduction to API Development

Packaging Python Applications