Python Libraries for Data Scientists
- 01. NumPy - The fundamental package for scientific computing with Python
- 02. Pandas is primarily used for data analysis, and provides you with some of the most useful set of tools to explore, clean, and analyze your data
- 03. Scikit-learn - After cleaning and manipulating data with Pandas or NumPy, scikit-learn is used to build machine learning models
- 04. Gradio - Generate an easy-to-use UI for your ML model, function, or API with only a few lines of code.
- 05. TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud
- 06. Keras is for creating deep learning models, specifically neural networks. Built on top of TensorFlow and Theano to build neural networks
- 07. SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering
- 08. Statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models
- 09. Seaborn is a Python data visualization library based on matplotlib.
- 10. Dash & Plotly are how AI, ML, and data science in Python are delivered to business users.