Amey-Thakur/JULIA

50-Day Julia Programming Challenge by Amey Thakur and Mega Satish, focused on computational modeling, high-performance computing, and machine learning.

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This repository documents a 50-day learning journey to master Julia programming, focusing on computational modeling, high-performance computing, and machine learning. It provides a structured curriculum from basic syntax to advanced topics like neural architectures and parallel computing. This resource is for developers, data scientists, and researchers who want to learn or deepen their skills in the Julia language for numerical and analytical problems.

Use this if you are a developer or researcher looking for a structured, self-paced curriculum to learn Julia for scientific computing, data analysis, and machine learning.

Not ideal if you are a non-technical user looking for a ready-to-use application or a library for a specific task without needing to learn the underlying programming language.

scientific-computing data-science machine-learning-development high-performance-computing quantitative-analysis
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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8

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Language

Julia

License

MIT

Last pushed

Feb 21, 2026

Commits (30d)

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