Best python libraries
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1. Math
- Very basic and slower
- Adequate for basic mathematical operations like sum, exponential, modulus, etc.
- Not useful when dealing with complex mathematical operations like multiplication of matrices
2. Numpy
- Most widely used for carrying out mathematical operations that involve matrices
- High calculations speed due to its use of C-API
3. SciPy
- Provides all the scientific tools for Python - various models for mathematical optimization, linear algebra, Fourier Transforms, etc.
- The numpy module provides the basic data structure of array to the SciPy library
4. Statsmodel
- Statistical computations that involve descriptive statistics, inference as well as estimation for the various statistical models
- Efficient statistical exploration of data
5. Scikit-learn
- Suitable for Machine Learning Mathematical aspect of Data Science
- Facilitate easy classification, regression, and clustering techniques
