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Learn Python by Building Data Science Applications

You're reading from   Learn Python by Building Data Science Applications A fun, project-based guide to learning Python 3 while building real-world apps

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789535365
Length 482 pages
Edition 1st Edition
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Authors (2):
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Philipp Kats Philipp Kats
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Philipp Kats
David Katz David Katz
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David Katz
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Table of Contents (26) Chapters Close

Preface 1. Section 1: Getting Started with Python FREE CHAPTER
2. Preparing the Workspace 3. First Steps in Coding - Variables and Data Types 4. Functions 5. Data Structures 6. Loops and Other Compound Statements 7. First Script – Geocoding with Web APIs 8. Scraping Data from the Web with Beautiful Soup 4 9. Simulation with Classes and Inheritance 10. Shell, Git, Conda, and More – at Your Command 11. Section 2: Hands-On with Data
12. Python for Data Applications 13. Data Cleaning and Manipulation 14. Data Exploration and Visualization 15. Training a Machine Learning Model 16. Improving Your Model – Pipelines and Experiments 17. Section 3: Moving to Production
18. Packaging and Testing with Poetry and PyTest 19. Data Pipelines with Luigi 20. Let's Build a Dashboard 21. Serving Models with a RESTful API 22. Serverless API Using Chalice 23. Best Practices and Python Performance 24. Assessments 25. Other Books You May Enjoy

Using generators

Generators are not exactly data structures—they are functions. However, while normal functions compute their results and return them at once, generators can be stopped and resumed on the fly, resulting in an iterable-like behavior. In other words, you can loop over a generator, retrieving one value at a time. Unlike classic iterables, however, generators are lazy. They compute values once we ask for them, but not before we do. As a result of that, there are a few significant differences in their behavior as compared to iterables:

  • First, generators use a fixed amount of memory. Even if you ask one to compute zillions of values, a generator will produce and store just one value every time you ask, which is great! In fact, generators can produce an infinite number of values with no memory issues.
  • Second, as generators do not store the values, there is no...
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