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've learned how even though there is often more than one way to do something in Python, there is often a "Pythonic" way. The Pythonic way is succinct and easy to understand, leaving out boilerplate code and extraneous information to focus on the task at hand. Comprehensions are a Pythonic tool for manipulating collections, including lists, sets, and dictionaries. Comprehensions are powered by iterators, which can be written as classes or as generator functions that yield the iterated values. The Python library includes useful functions for working with iterators, including infinite sequences expressed as iterators.

In the next chapter, you'll move past the details of the Python language and into how to work as a professional Python programmer. You'll see how to debug your Python code, write unit tests, and document, package, and share your Python code with other coders.