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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

The Power of Lists

You will now look at the first type of data structure in Python: lists.

A list is a type of container in Python that is used to store multiple data sets at the same time. Python lists are often compared to arrays in other programming languages, but they do a lot more.

Figure 2.2: A Python list with a positive index

A list in Python is written within square brackets, [ ]. Each element in the list has its own distinct position and index. The elements in a list have a finite sequence. Like other programming languages, the index of the first item of a list is 0, and the second item has an index of 1, and so on. This has to do with how lists are implemented at a lower programming level, so do take note of this when you are writing index-based operations for lists and other iterable objects.

You will now look at the different ways that lists can be useful by completing Exercise 21, Working with Python Lists.

Exercise 21: Working with...

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