Most commonly used python libraries

best python modules for data science

Here are some popular Python modules that are commonly used in data science:

  1. NumPy – a library for working with large, multi-dimensional arrays and matrices of numerical data
  2. Pandas – a library for working with tabular data (e.g., data stored in data frames)
  3. Matplotlib – a library for creating visualizations of data
  4. Seaborn – a library for creating more visually appealing statistical plots
  5. Scikit-learn – a library for machine learning and data analysis
  6. TensorFlow – a library for machine learning and deep learning
  7. Keras – a high-level library for building and training deep learning models

These are just a few examples, and there are many other modules that may be useful depending on your specific needs and goals.

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