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Awesome GitHub RepositoriesProgrammatic
Applying programmatic techniques to real-world data files for pattern recognition and analysis.
Distinct from Dataset Analysis: Focuses on the educational programmatic approach to analysis rather than optimized warehouse querying.
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Awesome Programmatic GitHub Repositories
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- allendowney/thinkstats2
AllenDowney/ThinkStats2
4,212Voir sur GitHubThinkStats2 is a computational statistics course and educational library designed to teach probability and statistics through a programmatic approach. It provides a framework for studying statistical concepts by writing Python code and running simulations on real-world datasets. The project uses interactive notebooks and a collection of Python modules to deliver guided lessons. It emphasizes the verification of theoretical statistical laws through iterative computational experiments and simulation-driven testing. The resource covers broad capabilities in data analysis and data science traini
Provides a framework for studying statistical patterns using programmatic analysis of real-world datasets.
Jupyter Notebook
