2.8. Data Science and Machine Learning Libraries
Owing to the growing importance of data science and machine learning techniques, several Python libraries have been developed. Some of these libraries have been briefly reviewed in this section.
2.8.1. NumPy
NumPy is one of the most commonly used libraries for numeric and scientific computing. NumPy is extremely fast and contains support for multiple mathematical domains, such as linear algebra, geometry, etc. It is extremely important to learn NumPy in case if you plan to make a career in data science and data preparation.
To know more about NumPy, check this link:
https://numpy.org/
2.8.2. Matplotlib
Matplotlib is the de facto standard for static data visualization in Python, which is the first step in data science and machine learning. Being the oldest data visualization library in Python, Matplotlib is the most widely used data visualization library.
Matplotlib was developed to resemble MATLAB, which is one of the most widely used programming...