Top 10 Python Library

February 5, 2023 - by admin

  1. NumPy – NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
  2. Pandas – Pandas is a library for data analysis and manipulation. It provides data structures for efficiently storing large datasets and tools for working with them.
  3. Matplotlib – Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides functions for creating static, animated, and interactive visualizations in Python.
  4. TensorFlow – TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks.
  5. Scikit-learn – Scikit-learn is a machine learning library for the Python programming language that provides simple and efficient tools for data mining and data analysis.
  6. PyTorch – PyTorch is an open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
  7. Keras – Keras is a high-level neural network API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
  8. Seaborn – Seaborn is a data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
  9. Flask – Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.
  10. Django – Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. It follows the model-template-view architectural pattern.

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