What are the popular libraries used in Data Science?

Below are the popular libraries used for data extraction, cleaning, visualization, and deploying DS models:

  • TensorFlow: Supports parallel computing with impeccable library management backed by Google.
  • SciPy: Mainly used for solving differential equations, multidimensional programming, data manipulation, and visualization through graphs and charts.
  • Pandas: Used to implement the ETL(Extracting, Transforming, and Loading the datasets) capabilities in business applications.
  • Matplotlib: Being free and open-source, it can be used as a replacement for MATLAB, which results in better performance and low memory consumption.
  • PyTorch: Best for projects which involve Machine Learning algorithms and Deep Neural Networks.