Most commonly used python libraries

best python modules for data science
Here are some popular Python modules that are commonly used in data science:
- NumPy – a library for working with large, multi-dimensional arrays and matrices of numerical data
- Pandas – a library for working with tabular data (e.g., data stored in data frames)
- Matplotlib – a library for creating visualizations of data
- Seaborn – a library for creating more visually appealing statistical plots
- Scikit-learn – a library for machine learning and data analysis
- TensorFlow – a library for machine learning and deep learning
- 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.