IlievskiV/Amusive-Blogging-N-Coding
Open source code from the blog posts at
This project offers practical code examples and explanations for various computational and visualization tasks. It provides hands-on Python notebooks for simulating random processes, performing numerical integration, and exploring cellular automata. Additionally, it includes JavaScript examples for creating interactive data visualizations like parallel coordinates plots and various charting tools. Data scientists, analysts, students, or anyone looking to understand complex concepts through visual, interactive examples would find this useful.
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Use this if you want to understand and implement computational concepts like random walks, Brownian motion, numerical integration, or cellular automata with clear, animated Python examples.
Not ideal if you are looking for a standalone software application or a plug-and-play solution, as this repository provides source code for educational purposes rather than a ready-to-use product.
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Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Feb 20, 2023
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