December 2018
Beginner to intermediate
682 pages
18h 1m
English
Content preview from Numerical Computing with Python
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Introducing pandas
Beside NumPy and SciPy, pandas is one of the most common scientific computing libraries for Python. Its authors aim to make pandas the most powerful and flexible open source data analysis and manipulation tool available in any language, and in fact, they are almost achieving that goal. Its powerful and efficient library is a perfect match for data scientists. Like other Python packages, Pandas can easily be installed via PyPI:
pip install pandas
First introduced in version 1.5, Matplotlib supports the use of pandas DataFrame as the input in various plotting classes. Pandas DataFrame is a powerful two-dimensional labeled data structure that supports indexing, querying, grouping, merging, and some other common relational ...
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