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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
Languages
Tools
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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

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 inspect it, and present results as values, spreadsheets, graphs, and so on. I 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 the fact 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 such as DataFrame from the pandas library
  3. We're going to manipulate the data in DataFrame
  4. We're going to save DataFrame to a file in different formats
  5. We're going to inspect the data and get some results out of it
...
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