Chapter 1, A Gentle Introduction to Python, introduces you to fundamental programming concepts. It guides you through getting Python up and running on your computer and introduces you to some of its constructs.
Chapter 2, Built-in Data Types, introduces you to Python built-in data types. Python has a very rich set of native data types, and this chapter will give you a description and a short example for each of them.
Chapter 3, Iterating and Making Decisions, teaches you how to control the flow of your code by inspecting conditions, applying logic, and performing loops.
Chapter 4, Functions, the Building Blocks of Code, teaches you how to write functions. Functions are the keys to reusing code, to reducing debugging time, and, in general, to writing better code.
Chapter 5, Saving Time and Memory, introduces you to the functional aspects of Python programming. This chapter teaches you how to write comprehensions and generators, which are powerful tools that you can use to speed up your code and save memory.
Chapter 6, OOP, Decorators, and Iterators, teaches you the basics of object-oriented programming with Python. It shows you the key concepts and all the potentials of this paradigm. It also shows you one of the most beloved characteristics of Python: decorators. Finally, it also covers the concept of iterators.
Chapter 7, Files and Data Persistence, teaches you how to deal with files, streams, data interchange formats, and databases, among other things.
Chapter 8, Testing, Profiling, and Dealing with Exceptions, teaches you how to make your code more robust, fast, and stable using techniques such as testing and profiling. It also formally defines the concept of exceptions.
Chapter 9, Cryptography and Tokens, touches upon the concepts of security, hashes, encryption, and tokens, which are part of day-to-day programming at present.
Chapter 10, Concurrent Execution, is a challenging chapter that describes how to do many things at the same time. It provides an introduction to the theoretical aspects of this subject and then presents three nice exercises that are developed with different techniques, thereby enabling the reader to understand the differences between the paradigms presented.
Chapter 11, Debugging and Troubleshooting, shows you the main methods for debugging your code and some examples on how to apply them.
Chapter 12, GUIs and Scripts, guides you through an example from two different points of view. They are at opposite ends of the spectrum: one implementation is a script, and another one is a proper graphical user interface application.
Chapter 13, Data Science, introduces a few key concepts and a very special tool, the Jupyter Notebook.
Chapter 14, Web Development, introduces the fundamentals of web development and delivers a project using the Django web framework. The example will be based on regular expressions.
