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Scientific Computing & Data Analysis

Curated resources for Scientific Computing & Data Analysis.

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docsZeroProject Jupyter

Jupyter documentation

Project Jupyter

The default working surface for modern technical learning, experiments, and reproducible reports.

Open Source

courseFoundationfreeCodeCamp

freeCodeCamp Data Analysis with Python

freeCodeCamp

Practical route into pandas, NumPy, and data analysis projects.

Open Source

docsFoundationNumPy

NumPy: absolute beginners guide

NumPy

Essential for scientific Python, ML preprocessing, simulation, and signal work.

Open Source

docsFoundationpandas

Pandas documentation

pandas

Core data-cleaning and analysis tool for almost every applied field.

Open Source

docsFoundationpandas

pandas Getting Started

pandas

Practical route into tabular wrangling, series/dataframes, and common analysis patterns.

Open Source

docsBuildSciPy

SciPy documentation

SciPy

Provides optimization, signal processing, integration, stats, and numerics for serious technical work.

Open Source

docsBuildMatplotlib

Matplotlib gallery

Matplotlib

You need strong plotting and reporting habits to do research and communicate findings.

Open Source

docsBuildNumPy

NumPy User Guide

NumPy

Core reference for numerical array work, broadcasting, linear algebra, and scientific workflows.

Open Source

docsBuildpandas

pandas User Guide

pandas

Detailed coverage of indexing, reshaping, joins, missing data, time series, and more.

Open Source

resourceBuildHadley Wickham et al.

R for Data Science

Hadley Wickham et al.

Excellent second-language path for tidy analysis, EDA, and statistical communication.

Open Source

docsAdvancedGNU

GNU Octave

GNU

Useful when you want MATLAB-style workflows without leaving open tooling.

Open Source

Scientific Computing & Data Analysis

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