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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
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Authors (6):
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Andrew Bird Andrew Bird
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Andrew Bird
Graham Lee Graham Lee
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Graham Lee
Corey Wade Corey Wade
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Corey Wade
Dr. Lau Cher Han Dr. Lau Cher Han
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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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Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops FREE CHAPTER 2. Python Structures 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

To summarize, you need to remember that Python data structures include lists, tuples, dictionaries, and sets. Python provides these structures to enable you to code better as a developer. In this chapter, you have covered lists, which are one of the important data types in Python that store multiple objects, and also other data types, such as dictionaries, tuples, and sets. Each of these data types helps us to store and retrieve data effectively.

Data structures are an essential part of all programming languages. Most programming languages only provide basic data types to store different types of numbers, strings, and Booleans, as you learned in Chapter 1, Vital Python - Math, Strings, Conditionals, and Loops. They are an essential part of any program. In this chapter, you learned how to utilize advanced data structures such as nested lists and mixed data types, and lists with dictionaries — structures that you can use to store complex data.

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