Data science is a rapidly evolving field that requires a wide array of tools to analyze, process, and visualize data. Here are some of the most popular data science tools:
- Jupyter Notebook: An open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
- R: A programming language and software environment for statistical computing and graphics.
- Python: A high-level, interpreted programming language that is widely used for data science, web development, and other applications.
- TensorFlow: An open-source machine learning framework developed by Google Brain.
- PyTorch: An open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Data Science Tools
Would you like to explore more about data science? Check out our Data Science Learning Resources page.