Book Image

Learning Python

By : Romano
Book Image

Learning Python

By: Romano

Overview of this book

Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned.
Table of Contents (14 chapters)
13
Index

Summary


In this chapter, we talked about data science. Rather than attempting to explain anything about this extremely wide subject, we delved into a project. We familiarized ourselves with the Jupyter notebook, and with different libraries such as Pandas, Matplotlib, NumPy.

Of course, having to compress all this information into one single chapter means I could only touch briefly on the subjects I presented. I hope the project we've gone through together has been comprehensive enough to give you a good idea about what could potentially be the workflow you might follow when working in this field.

The next chapter is dedicated to web development. So, make sure you have a browser ready and let's go!