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Repository with 90+ solved exercises from the Scientific Computing with Python course (freeCodeCamp). Exercises are organized into 3 sections, each with 30+ challenges, covering the main Python programming fundamentals.

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
.ipynb_checkpoints		.ipynb_checkpoints
LICENSE		LICENSE
README.md		README.md
session1.ipynb		session1.ipynb
session2.ipynb		session2.ipynb

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Scientific Computing with Python

This repository contains my solutions to the Scientific Computing with Python course from freeCodeCamp.

More than 90 exercises divided into 3 sections
Covers Python fundamentals: variables, loops, functions, strings, lists
Includes final practical projects

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Repository with 90+ solved exercises from the Scientific Computing with Python course (freeCodeCamp). Exercises are organized into 3 sections, each with 30+ challenges, covering the main Python programming fundamentals.

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Jupyter Notebook 100.0%