Data Science

One of the most commonly used programming languages for data analysis is Python. There are several premade Python software libraries and algorithms that can be used when you are organizing, analyzing, and visualizing data.

Python libraries for data science:

• NumPy - the fundamental package for scientific computing with Python.
• SciPy - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
• Pandas - an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
• Matplotlib - You can generate plots, histograms, power spectra, bar charts, error charts, scatter plots, etc., with just a few lines of code.