Book Image

The Python Workshop

By : Olivier Pons, Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade
Book Image

The Python Workshop

By: Olivier Pons, Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade

Overview of this book

Have you always wanted to learn Python, but never quite known how to start? More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial. The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code. As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior. You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms. By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python.
Table of Contents (13 chapters)

Introduction

Software development goes beyond writing code. In previous Chapter 7, Becoming Pythonic you were introduced to the idea of being Pythonic. When you write software as professionals, we expect the code to be up to a certain standard and to be able to manage and distribute that code in a way that can be easily consumed by other developers.

In this chapter, you will go through the various concepts and tools that allow you to elevate the level of your source code and applications. You will examine Python tools that every Python developer uses for testing, writing documentation, packaging their code, and version control, as well as learning about techniques that allow us to debug issues that occur in existing code. Additionally, you will write tests to validate our assumptions and implementations of our code. These are all concepts and tools that are key to any successful developer in any company, as they allow developers to develop and collaborate effectively. Finally, you...