Learning Python by doing

Contributors

• Mark van den Brand (TU/e)

• Mauricio Verano Merino (VU Amsterdam)

• Lina María Ochoa (TU/e)

• Mazyar Seraj (TU/e)

• Tom Verhoeff (TU/e)

• Gijs Walravens (TU/e)

This book’s content has been developed during the last five years, and it has been used for teaching different introductory courses at Dutch universities for different academic programs such as Computer Science, Data Science, and Artificial Intelligence.

Courses

• Programming - JBI010 (joint bachelor Data Science, TU/Eindhoven & Tilburg University)

• Introduction to Python Programming - XB_0082 (bachelor Artificial Intelligence, VU Amsterdam)

• Software Development for Engineers - 2IS50, TU/Eindhoven

• Programming and Modelling - 2WH20, TU/Eindhoven

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Table of Contents

Programming

• Introduction
• Variables, Expressions, and Assignments
• Conditionals
• Iteration
• Functions
• Beyond Functions
• Strings
• Tuples
• Lists
• Sets
• Dictionaries
• Comprehensions and Generators
• Files
• Regular Expressions
• Classes and Objects
• Classes and Functions
• Classes and Methods
• Inheritance
• Recursion
• Searching
• Sorting

Data Science

• Computational Thinking
• Exploratory Data Analysis (EDA)
• Data Preparation
• NumPy Arrays
• Pandas DataFrames
• Version Control Systems & Git

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Bibliography

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Dow15

Allen B. Downey. Think Python. O'Reilly, Beijing ;, second edition. edition, 2015. ISBN 9781491939369 1491939362. URL: https://greenteapress.com/thinkpython/thinkpython.pdf.

McC04

Steve McConnell. Code Complete. Microsoft Press, USA, 2004. ISBN 0735619670.

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Karl Beecher. Computational Thinking: A Beginner’s Guide to Problem-solving. BCS Learning & Development Limited, USA, 2007. ISBN 9781780173641.

Erw17

Martin Erwig. Once Upon an Algorithm: How Stories Explain Computing. The MIT Press, 2017. ISBN 0262036630.

BB17

Peter Bruce and Andrew Bruce. Practical Statistics for Data Scientists. O Reilly, 2017.

DBC10

David M Diez, Christopher D Barr, and Mine Cetinkaya. OpenIntro Statistics. OpenIntro, Inc., 2010.

Van19

Jake VanderPlas. Python Data Science Handbook. Volume 53. O Reilly, 2019.

Pyl99

Dorian Pyle. Data Preparation for Data Mining. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1st edition, 1999. ISBN 1558605290.

Van16

J. VanderPlas. Python Data Science Handbook: Essential Tools for Working with Data. O'Reilly Media, 2016. ISBN 9781491912140. URL: https://books.google.nl/books?id=xYmNDQAAQBAJ.

CS14

Scott Chacon and Ben Straub. Pro git. Springer Nature, 2014. URL: https://git-scm.com/book/en/v2.

Note

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