Explain different Python Libraries ?
1) Pandas: -
This provides a high-performance set of data structures and data-analysis tools for use in
your data science.
2) Matplotlib: -
Matplotlib is a Python 2D and 3D plotting library that can produce various plots,
histograms, power spectra, bar charts, error charts, scatterplots, and limitless advance
visualizations of your data science results.
3) NumPy: -
NumPy is the fundamental package for scientific computing, based on a general
homogeneous multidimensional array structure with processing tools.
4) SymPy: -
SymPy is a Python library for symbolic mathematics. It assists you in simplifying complex algebra formulas before including them in your code. Explore www.sympy.org
for details on this package’s capabilities.
5) Scikit-Learn: -
Scikit-Learn is an efficient set of tools for data mining and data analysis packages. It
provides support for data science classification, regression, clustering, dimensionality
reduction, and preprocessing for feature extraction and normalization.
