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)

Creating a PIP Package

When you are working with Python code, you need to differentiate between the source code tree, the source distributions (sdist), and a binary distribution (wheels for example which is explained ahead). The folder where you work on the code is known as the source code tree, which is essentially how it is presented in the folder. This also contains Git files, configuration files, and others. The source distribution is a way to package our code so that it can be executed and installed on any machine—it just contains all the source code without any development-related files. A binary distribution is similar to source distribution, but it comes with the files ready to be installed on the system—there is no execution needed in the client host. Wheels are a particular standard for binary distributions that replace the old format, Python eggs. When we consume Python wheels we just get a file that is ready to be installed without the need of any compilation...