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Python Made Easy: A Beginner’s Guide to Coding, Data Structures, and Practical Applications
book

Python Made Easy: A Beginner’s Guide to Coding, Data Structures, and Practical Applications

by Marco Gähler
January 2026
Beginner
139 pages
3h 54m
English
Apress
Content preview from Python Made Easy: A Beginner’s Guide to Coding, Data Structures, and Practical Applications
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2026
M. GählerPython Made Easyhttps://doi.org/10.1007/979-8-8688-2133-2_12

12. Pandas

Marco Gähler1  
(1)
Zürich, Zürich, Switzerland
 

Pandas is a library for data analysis and manipulation. It provides data structures and functions for working with structured data, such as tables and time series. Pandas is built on top of NumPy and provides a more user-friendly interface for working with data.

The fact that Pandas is based on NumPy allows the user to deal with large datasets in an efficient way as the NumPy library is highly optimized for performance.

Now, of course, you could also do everything using NumPy instead of Pandas. It would just be a lot more work and less ...

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