The second edition of Python 101 is completely rewritten from the ground up. In this book, you will learn the Python programming language and lots more.

This book is split up into four sections:

1. The Python Language
2. Intermediate Topics
3. Creating Sample Applications
4. Distributing Your Code

Following is how it will break down in more detail:

Part I - The Python Language

• 01 - Installation
• 02 - Python editors
• 03 - Python style guide / comment rules
• 04 - Integers and floats 
• 05 - Lists
• 06 - Tuples 
• 07 - Dictionaries
• 08 - Sets
• 09 - Strings
• 10 - Boolean
• 11 - Conditional statements
• 12 - Loops
• 13 - Comprehensions
• 14 - Exception Handling
• 15 - Files 
• 16 - Imports
• 17 - Functions
• 18 - Classes

In Part 2 - Intermediate Topics, you will then learn about some intermediate topics, such as:

• Introspection
• Pip
• Python virtual environments
• Threading
• Multiprocessing
• Debugging
• Decorators
• Profiling
• Testing
• Version Control (git)

In Part 3 - Creating Sample Applications, you will learn how to write sample applications:

• How to create a command line application (argparse)
• How to parse XML
• How to parse JSON
• How to Scrape a website
• How to Work with CSV files
• How to work with a database (sqlite)
• How to Create an Excel document
• How to Generate a PDF

Finally in Part 4 you will learn how distribute your code as an executable and as source.

The “Pydon'ts – Write beautiful Python code” book is a compilation of all the “Pydon't” articles available at https://mathspp.com/blog/pydonts.

These articles guide you through the core Python language, showing you how to use every single feature to write better, more elegant Python programs.

Tanner S., from the USA, says “[The book] seems to be extremely well put together, unlike some other books on Python I've read recently. It's a good book. I like how to the point it is.”.

Each chapter of the book (corresponding to a single article in the linked blog) guides you through a specific feature of the Python language, teaching you how to use it and then showing you good example usages of that feature with examples of real Python code: some times you even get to dive into the code that implements the Python Standard Library.

This book is for beginners and advanced users alike, as it covers a wide range of Python features, so everyone has something to learn from the contents of this book.

Alonso, from Mexico, says “First of all, thank you thank you and thank you again for a beautiful ebook with such amazing content. If you're a beginner or a more experienced pythonista, pydon'ts will still achieve its purpose. Beautifully designed and explained! Definitely worth the reading. I'm reading it once more in a year or so!”.

This book is a work in progress and I publish a chapter per week at https://mathspp.com/blog/pydonts.

You can read everything for free by following the previous link. However, notice that by purchasing the book now, you will get future updates for free, plus all the special content I add only to the book!

As the book becomes more complete, I will be increasing the minimum purchase price so right now is an excellent time to buy the book 😉.

(By the way, if for some reason you are not happy with your purchase, you have 45 days to ask for a refund, no questions asked. It is LeanPub's policy!)

I love your books on regex...As a student from the Digital VLSI space, it is indeed useful now and definitely in the future. It's really well written and really easy to understand the examples — feedback on reddit

The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them.

You should have prior experience working with Python, should know concepts like string formats, string methods, list comprehension and so on.

Both standard re module and popular third party regex module is covered in this book.

Exercises are also included to test your understanding.

Visit https://github.com/learnbyexample/py_regular_expressions for code snippets and exercise files. The repo also has solutions for exercises.

Your Practice Python Projects book is really helping me to reinforce my knowledge and mastery of Python as I'm learning — feedback on twitter

Beginners who've finished a basic programming book or a course often wonder what they should do next. After solving exercises that test your understanding of syntax and common logical problems, working on projects is often recommended as the next step in the programming journey.

Working on projects that'll help you solve real world use cases would be ideal. You'll likely have enough incentive to push through difficulties instead of abandoning the project. Sometimes though, you just don't know what to work on. Or, you have ideas, but not sure how to implement them, how to break down the project into manageable parts, etc. In such cases, a learning resource focused on projects can help.

This book presents five beginner to intermediate level projects inspired by real world use cases:

1. Enhance your CLI experience with a custom Python calculator
2. Analyzing poll data from a Reddit comment thread
3. Finding typos in plain text and Markdown files
4. Creating a GUI for evaluating multiple choice questions
5. Square Tic Tac Toe — creating a GUI game with AI

To test your understanding and to make it more interesting, you'll also be presented with exercises at the end of each project. Resources for further exploration are also mentioned throughout the book.

Visit https://github.com/learnbyexample/practice_python_projects for programs and related example files presented in this book.

The clean architecture is the opposite of spaghetti code, where everything is interlaced and there are no single elements that can be easily detached from the rest and replaced without the whole system collapsing. The main point of the clean architecture is to make clear "what is where and why", and this should be your first concern while you design and implement a software system, whatever architecture or development methodology you want to follow.

To fully appreciate the book you need to know Python and be familiar with TDD, in particular with unit testing and mocks. Please refer to the series TDD in Python with pytest published on my blog if you need to refresh your knowledge about these topics.

After the two introductory parts that you are reading, chapter 1 goes through a 10,000 feet overview of a system designed with a clean architecture, while chapter 2 briefly discusses the components and the ideas behind this software architecture. Chapter 3 runs through a concrete example of clean architecture and chapter 4 expands the example adding a web application on top of it. Chapter 5 discusses error management and improvements to the Python code developed in the previous chapters. Chapters 6 and 7 show how to plug different database systems to the web service created previously, and chapter 8 wraps up the example showing how to run the application with a production-ready configuration.

You can read the book online at The Digital Cat Books.