A collection of hands-on projects and algorithm challenges completed as part of my ongoing Scientific Computing with Python certification from freeCodeCamp. This repository showcases my understanding of Python fundamentals, arithmetic formatting, file parsing, algorithmic problem solving and object-oriented programming.

Repo of some personal notes about things I face myself on the way out of my Scientific and Python journeys

This repository is a comprehensive collection of my learning journey through NumPy, the fundamental package for scientific computing in Python. It includes hands-on exercises, explanations, and examples that cover everything from core concepts to more advanced operations.

"My journey through the freeCodeCamp Scientific Computing with Python certification.🚀🎓

Projects and exercises from the FreeCodeCamp Scientific Computing with Python course, showcasing my journey and progress in mastering Python for scientific applications.

Repository for tracking my freeCodeCamp learning journey and projects across different certifications of Scientific computing with python.

A collection of projects created during my learning journey based on scientific computing with python as the programming language.

Repository featuring a collection of notebooks from my journey through the "Scientific Python" Udemy course by Mike X Cohen, complemented by additional coding exercises from Kaggle.

A collection of Python scripts used for my independent exploration of physics concepts. The code is a tangible record of my journey applying programming to understand scientific principles beyond the standard curriculum.

A comprehensive guide and collection of Python scripts for Scientific Computing using NumPy. This repository documents my journey mastering NumPy for Data Science, covering everything from basic array operations to advanced mathematical functions and linear algebra. Perfect for beginners and a handy reference for experienced practitioners.