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)

Summary

In this chapter, you have seen that software development is more than just writing code in Python. When you want to elevate your code further than a simple script on our computer, you need to know how to troubleshoot it, distribute it, document it, and test it. The Python ecosystem provides us with tools to do all of these things. You have learned how to troubleshoot code using pdb and steps on how to identify and narrow down a problem by inspecting logs and the input. You have also learned how to write automated tests and the importance of them.

You saw how you can package our code to be distributed across the internet, how we can also document those packages to make them easier to use and consume by your final users, and finally, how to use git to manage changes as your code evolves.

In the next chapter, you we will touch on some more advanced topics; some of them build on top of what you just learned. You will explore things such as how to take the code we just wrote...