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Learn Python Programming

You're reading from   Learn Python Programming The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788996662
Length 508 pages
Edition 2nd Edition
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (16) Chapters Close

Preface 1. A Gentle Introduction to Python FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. OOP, Decorators, and Iterators 7. Files and Data Persistence 8. Testing, Profiling, and Dealing with Exceptions 9. Cryptography and Tokens 10. Concurrent Execution 11. Debugging and Troubleshooting 12. GUIs and Scripts 13. Data Science 14. Web Development 15. Other Books You May Enjoy

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, and 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 an idea of 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!

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