Description
Product Description
Get up and running with Python 3.9 through concise tutorials and practical projects in this fully updated edition
Key Features
Discover how to think like a Python programmer
Extensively revised with richer examples, Python 3.9 syntax, and new chapters on APIs and packaging and distributing Python code
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-engineering
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 anyone who has some programming experience, but not necessarily with Python. Some knowledge of basic programming concepts will come in handy, although it is not a requirement.
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
About the Author
Fabrizio Romano was born in Italy in 1975. He holds a master's degree in Computer Science Engineering from the University of Padova. He’s been working as a professional software developer since 1999. Fabrizio has been part of Sohonet’s Product Team since 2016. In 2020, the Television Academy honored them with an Emmy Award in Engineering Development for advancing remote collaboration. Heinrich Kruger was born in South Africa in 1981. He holds a master’s degree in Computer Science from Utrecht University in the Netherlands. He has been working as a professional software developer since 2014. Heinrich has been working alongside Fabrizio in the Product Team at Sohonet since 2017. In 2020, the Television Academy honored them with an Emmy Award in Engineering Development for advancing remote collaboration.