Welcome to my 30 Days of Python repository! This is a personal journey of learning and mastering Python programming, created as part of my participation in the Arewa Data Science Fellowship. Python is a critical tool for data science, and this journey is my stepping stone to becoming proficient in both foundational and advanced programming concepts.
In this repository, you'll find:
Daily Challenges: Practical exercises that cover fundamental and intermediate Python concepts. Code Examples: My solutions to various problems and challenges tackled during this learning journey. Notes and Insights: Key takeaways, tips, and tricks that I find valuable as I progress.
Python is one of the most versatile and beginner-friendly programming languages. As part of the Arewa Data Science Fellowship, it serves as the foundation for exploring data science, machine learning, and beyond. This repository reflects my progress and dedication to mastering the language.
The repository is organized into directories for each day, with the following structure:
module 1 - Introduction to Python
module 2 - Variables and Data Types
module 3 - Conditionals
...
Day 30 - Advanced Topics and Wrap-Up
Each folder contains:
- Exercise files
- Solution scripts
By the end of this challenge, I aim to:
- Build a solid foundation in Python programming.
- Develop problem-solving skills using Python.
- Prepare for advanced topics in data science and machine learning.
If you're also learning Python, feel free to:
- Clone this repository and attempt the exercises.
- Compare your solutions with mine and share feedback.
- Suggest improvements or optimizations for my code.
I'm excited to be on this journey as part of the Arewa Data Science Fellowship, and I’m open to collaboration and learning with others.
Feel free to connect with me via:
- LinkedIn: https://www.linkedin.com/in/saviour-dan/
Let's learn and grow together!