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

To summarize, you need to remember that Python data structures include lists, tuples, dictionaries, and sets. Python provides these structures to enable you to code better as a developer. In this chapter, you have covered lists, which are one of the important data types in Python that store multiple objects, and also other data types, such as dictionaries, tuples, and sets. Each of these data types helps us to store and retrieve data effectively.

Data structures are an essential part of all programming languages. Most programming languages only provide basic data types to store different types of numbers, strings, and Booleans, as you learned in Chapter 1, Vital Python - Math, Strings, Conditionals, and Loops. They are an essential part of any program. In this chapter, you learned how to utilize advanced data structures such as nested lists and mixed data types, and lists with dictionaries — structures that you can use to store complex data.

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