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Learn Python Programming, 3rd edition - Third Edition

You're reading from  Learn Python Programming, 3rd edition - Third Edition

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801815093
Pages 554 pages
Edition 3rd Edition
Languages
Authors (2):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Heinrich Kruger Heinrich Kruger
Profile icon Heinrich Kruger
View More author details

Table of Contents (18) Chapters

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types 3. Conditionals and Iteration 4. Functions, the Building Blocks of Code 5. Comprehensions and Generators 6. OOP, Decorators, and Iterators 7. Exceptions and Context Managers 8. Files and Data Persistence 9. Cryptography and Tokens 10. Testing 11. Debugging and Profiling 12. GUIs and Scripting 13. Data Science in Brief 14. Introduction to API Development 15. Packaging Python Applications 16. Other Books You May Enjoy
17. Index

Data Science in Brief

"If we have data, let's look at data. If all we have are opinions, let's go with mine."

— Jim Barksdale, former Netscape CEO

Data science is a very broad term and can assume several different meanings depending on context, understanding, tools, and so on. In order to do proper data science, you need to, at the very least, know mathematics and statistics. Then, you may want to dig into other subjects, such as pattern recognition and machine learning, and, of course, there is a plethora of languages and tools you can choose from.

We won't be able to talk about everything here. Therefore, in order to render this chapter meaningful, we're going to work on a project together instead.

Around 2012/2013, Fabrizio was working for a top-tier social media company in London. He stayed there for two years and was privileged to work with several very brilliant people. The company was the first in the world to have access...

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