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100 Days of Python

Welcome to the "100 Days of Python" course! This repository contains daily updates and projects covering various topics in the Python programming language. The course is based on the teachings of Angela Yu, and we'll be using Google Colab as the platform for this learning journey.

Table of Contents

Introduction

This repository is a collection of code and projects for the "100 Days of Python" course by Angela Yu. The goal is to provide a structured and hands-on approach to learning Python, covering various libraries and topics.

Course Structure

The course is structured into 100 days, each featuring daily updates and a corresponding project. The topics covered include but are not limited to:

  • Basics of Python
  • Data Structures
  • Web Development
  • Machine Learning
  • Data Science
  • and more!

Getting Started

To get started with the course, follow these steps:

  1. Open in Google Colab:
    • Click on the Colab badge at the top of each notebook to open the notebook in Google Colab.

Open in Colab

  1. Run the Notebooks:

    • Run each cell in the notebook to execute the code and see the results.
    • Follow the daily updates and code explanations provided in the notebooks.
  2. Save to GitHub:

    • After making changes or completing a project, save the notebook to your GitHub repository.
    • You can use the following steps:
      • Click on "File" in the Colab notebook.
      • Select "Save a copy in GitHub."
      • Choose your repository and the desired path.
      • Click "Save."

By following these steps, you can seamlessly work with the course materials in Google Colab and save your progress directly to your GitHub repository.

Daily Updates

Each day, you'll find new content and code in the corresponding notebook. The daily updates are designed to build upon the previous knowledge and gradually introduce new concepts.

Projects

At the end of each day, you'll find a project that applies the concepts learned on that day. These projects are a great way to reinforce your understanding and practice your Python skills.

Contact

For any questions, feedback, or suggestions, feel free to reach out:

Happy coding!! 🚀

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