A complete collection of NumPy tutorials, coding examples, exercises, and projects designed to build a strong foundation in scientific computing with Python.
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Updated
Jul 22, 2026 - Python
A complete collection of NumPy tutorials, coding examples, exercises, and projects designed to build a strong foundation in scientific computing with Python.
Importing Boston dataset and describing the overview of the data using libraries such as Numpy, Pandas, Matplotlib and Seaborn. Analysing and creating various visualizations (Box plot, Scatter plot, Histogram). Examining the data structure, missing values and inconstencies to ensure data quality.
A powerful Streamlit web app for interactive CSV data analysis with visualizations, statistical insights, correlation heatmaps, outlier detection, and data cleaning - no coding required.
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