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The Python Workshop

You're reading from   The Python Workshop Learn to code in Python and kickstart your career in software development or data science

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781839218859
Length 608 pages
Edition 1st Edition
Languages
Tools
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Authors (6):
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Andrew Bird Andrew Bird
Author Profile Icon Andrew Bird
Andrew Bird
Graham Lee Graham Lee
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Graham Lee
Corey Wade Corey Wade
Author Profile Icon Corey Wade
Corey Wade
Dr. Lau Cher Han Dr. Lau Cher Han
Author Profile Icon Dr. Lau Cher Han
Dr. Lau Cher Han
Olivier Pons Olivier Pons
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Olivier Pons
Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
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Toc

Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops 2. Python Structures FREE CHAPTER 3. Executing Python – Programs, Algorithms, and Functions 4. Extending Python, Files, Errors, and Graphs 5. Constructing Python – Classes and Methods 6. The Standard Library 7. Becoming Pythonic 8. Software Development 9. Practical Python – Advanced Topics 10. Data Analytics with pandas and NumPy 11. Machine Learning Appendix

Summary

In this chapter, you've learned how even though there is often more than one way to do something in Python, there is often a "Pythonic" way. The Pythonic way is succinct and easy to understand, leaving out boilerplate code and extraneous information to focus on the task at hand. Comprehensions are a Pythonic tool for manipulating collections, including lists, sets, and dictionaries. Comprehensions are powered by iterators, which can be written as classes or as generator functions that yield the iterated values. The Python library includes useful functions for working with iterators, including infinite sequences expressed as iterators.

In the next chapter, you'll move past the details of the Python language and into how to work as a professional Python programmer. You'll see how to debug your Python code, write unit tests, and document, package, and share your Python code with other coders.

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