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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

Dealing with data

Typically, when you deal with data, this is the path you go through: you fetch it; you clean and manipulate it; and then you analyze it and present results as values, spreadsheets, graphs, and so on. We want you to be in charge of all three steps of the process without having any external dependency on a data provider, so we're going to do the following:

  1. We're going to create the data, simulating that it comes in a format that is not perfect or ready to be worked on.
  2. We're going to clean it and feed it to the main tool we'll use in the project, which is a DataFrame from the pandas library.
  3. We're going to manipulate the data in a DataFrame.
  4. We're going to save a DataFrame to a file in different formats.
  5. We're going to analyze the data and get some results out of it.

Setting up the Notebook

First things first, let's produce the data. We start from the ch13-dataprep Notebook. Cell...

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