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Learn Python Programming

Learn Python Programming - Fourth Edition

By : Fabrizio Romano, Heinrich Kruger
3.5 (2)
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Learn Python Programming

Learn Python Programming

3.5 (2)
By: Fabrizio Romano, Heinrich Kruger
Buy this Book

Overview of this book

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, 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. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.
Table of Contents (20 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
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1
A Gentle Introduction to Python
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A Gentle Introduction to Python
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A brief introduction to programming
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Enter the Python
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About Python
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What are the drawbacks?
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Who is using Python today?
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Setting up the environment
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How to run a Python program
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How is Python code organized?
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Python’s execution model
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Guidelines for writing good code
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Python culture
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A note on IDEs
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A word about AI
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Summary
2
Built-In Data Types
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Built-In Data Types
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Everything is an object
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Mutability
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Numbers
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Immutable sequences
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Mutable sequences
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Set types
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Mapping types: dictionaries
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Data types
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Final considerations
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Summary
3
Conditionals and Iteration
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Conditionals and Iteration
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Conditional programming
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Looping
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Assignment expressions
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Putting all this together
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A quick peek at the itertools module
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Summary
4
Functions, the Building Blocks of Code
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Functions, the Building Blocks of Code
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Why use functions?
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Scopes and name resolution
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Input parameters
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Return values
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A few useful tips
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Recursive functions
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Anonymous functions
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Function attributes
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Built-in functions
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Documenting your code
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Importing objects
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One final example
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Summary
5
Comprehensions and Generators
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Comprehensions and Generators
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The map, zip, and filter functions
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Comprehensions
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Generators
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Some performance considerations
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Do not overdo comprehensions and generators
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Name localization
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Generation behavior in built-ins
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One last example
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Summary
6
OOP, Decorators, and Iterators
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OOP, Decorators, and Iterators
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Decorators
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OOP
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Writing a custom iterator
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Summary
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Exceptions and Context Managers
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Exceptions and Context Managers
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Exceptions
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Context managers
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Summary
8
Files and Data Persistence
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Files and Data Persistence
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Working with files and directories
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Data interchange formats
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I/O, streams, and requests
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Persisting data on disk
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Configuration files
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Summary
9
Cryptography and Tokens
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Cryptography and Tokens
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The need for cryptography
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Hashlib
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HMAC
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Secrets
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JSON Web Tokens
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Useful references
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Summary
10
Testing
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Testing
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Testing your application
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Test-driven development
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Summary
11
Debugging and Profiling
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Debugging and Profiling
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Debugging techniques
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Troubleshooting guidelines
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Profiling Python
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Summary
12
Introduction to Type Hinting
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Introduction to Type Hinting
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Python approach to types
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History of type hinting
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Benefits of type hinting
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Type annotations
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The Mypy static type checker
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Some useful resources
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Summary
13
Data Science in Brief
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Data Science in Brief
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IPython and Jupyter Notebook
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Dealing with data
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Where do we go from here?
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Summary
14
Introduction to API Development
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Introduction to API Development
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The Hypertext Transfer Protocol
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APIs – An introduction
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The railway API
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Where do we go from here?
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Summary
15
CLI Applications
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CLI Applications
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Command-line arguments
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Building a CLI client for the railway API
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Other resources and tools
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Summary
16
Packaging Python Applications
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Packaging Python Applications
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The Python Package Index
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Packaging with Setuptools
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Building and publishing packages
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Advice for starting new projects
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Other files
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Alternative tools
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Further reading
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Summary
17
Programming Challenges
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Programming Challenges
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Advent of Code
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Final considerations
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Other programming challenge websites
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Summary
18
Other Books You May Enjoy
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Other Books You May Enjoy
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Index
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Index

A word about AI

In the last year or so, the world has witnessed the advent of AIs. There are quite a few options on the market now, some of which provide tools for programmers.

The fact that there are instruments able to write pieces of code does not invalidate any of the reasons why one should learn a programming language. AI tools are far from being able to do what a person can do. They are not perfect, and at the time of writing they are mostly useful to help with repetitive, and sometimes menial tasks.

Several IDEs can be integrated with technologies like Github Copilot (and the likes). Visual Studio Code, Zed, Intellij Idea, PyCharm, all provide ways to enhance their capabilities with AI plugins. There are even some new IDEs that were designed specifically around AI features, such as Cursor.

While we do use such tools in our work, we feel it is crucial to stress how important it is for you to try and understand the code examples from this book on your own. Please try to work them...

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