Rapid Python Programming

Python is one of the few programming languages that is not only easy to learn but also very powerful. Most books on programming focus on the skill level of the reader rather then the topic for which the reader picked the book. I got the idea to write this book after reading ‘‘Programming - Principles and Practice Using C++ written by Bjarne Stroustrup the creator of C++ programming language. While everything here will be presented differently, the philosophy of programming, learning and the methods he presented is what influenced me the most.

Programs by nature evolve towards complexity and most languages foster the ability to design in a structured way even if the language is not a structured programming language. Python supports multi-paradigms (such as object oriented, imperative, and functional). The design of Python leans towards a clean modular style with everything loosely considered an object.

Once you start programming with python, you won’t want to use other languages. You may even find yourself converting code written in other languages to python. Python is very fast. You can compile your code into Byte-compiled files or PYC files. These pre-compiled binaries execute quickly. Conveniently Byte-compiled files that are created by the python interpreter automatically and can be further extended with other python modules. If you decide to use python for science, or gaming, and you need more speed, you can further extend python with the “C” language. The flexible features of python make it an excellent choice for beginners and experts. Most important, programming with python is fun.

For the more experienced developer, python can be learned on a one page cheat sheet. Taking into account the range of skill levels and learning styles, my idea was to provide just enough examples to learn the language then introduce the reader to the fun tools. The reality is that the beginner will learn just enough to program then comb through endless “Google” pages to understand tasks such as: parsing large files, working with a database, doing network programming, creating a graphical interface, designing a website, developing a game, or modeling and stock market analysis. My goal is to teach the student just enough that they feel confident jumping right into the fun stuff.

Here are some of the highlights:




Network Programming





How to use this book

Learning python can be achieved relatively quickly in 6 chapters at the most. I explain everything in the simple terms and provide exercises. To get the most use out of this book it’s recommended that you type everything out. There is no substitute for learning how to deal with typos than the experience of troubleshooting your own code.


The python code snippets are italicized with a smaller font. Most of the results or corresponding output are provided in the same format. Some of the code might be truncated. Ellipses or comments similar to the following (#...) indicate regions where code exists that isn’t essential for expressing a point.

Code and Errata

It’s useful to view examples in this book as whole programs without interleaved prose. You can find the source code for all code snippets in this book on our website:

To post a comment you need to login first.