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)


In the previous chapter, you learned the basics of the Python programming language and essential elements such as string, int, and the use of conditionals and loops that control the flow of a Python program. You should now be familiar with writing programs in Python by utilizing these elements.

In this chapter, you are going to look at how to use data structures to store more complex types of data that help to model the actual data and represent it in the real world.

In programming languages, data structures refer to objects that can hold some data together, which means they are used to store a collection of related data.

For instance, you can use a list to store our to-do items for the day. The following is an example to show you how lists are coded:

todo = ["pick up laundry", "buy Groceries", "pay electric bills"]

We can also use a dictionary object to store more complex information such as subscribers' details...