January 2023
Intermediate to advanced
472 pages
17h 59m
English

Short for Numerical Python, NumPy serves as Python’s foundational library for numerical computing. It extends Python’s mathematical capability and forms the basis of many scientific and mathematical packages. As a result, you’ll need to understand NumPy in order to effectively use Python’s scientific libraries such as Matplotlib (for plotting) and pandas (for data analysis).
NumPy is open source and comes preinstalled with Anaconda. It augments the built-in tools in the Python Standard Library, which can be too simple for many data analysis calculations. Using NumPy, you can perform fast operations, including mathematical, ...
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