Python Projects (100 Days of Code)

This repository contains my personal solutions, exercises, and projects completed during the 100 Days of Code: The Complete Python Pro Bootcamp by Dr. Angela Yu on Udemy. Over the span of 100 days, I followed along with each video lesson, practiced the concepts, and built the associated mini-projects and challenges.

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Course Details

• Course Title: 100 Days of Code: The Complete Python Pro Bootcamp
• Instructor: Dr. Angela Yu
• Platform: Udemy
• Course Link: https://www.udemy.com/course/100-days-of-code/

I enrolled in this course to strengthen my Python fundamentals and apply them to real-world projects. Each day introduced new topics—ranging from basic syntax and control flow to web development, data analysis, and machine learning.

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How to Use This Repository

1. Clone or Download

   git clone https://github.com/jbiederstedt/python-100days-projects.git
   cd python-100days-projects

2. Browse Day Folders

   • Navigate into any Day XX/ folder to view the related exercises and notes.

3. Run Code Examples

   • Ensure you have Python 3.8+ installed (recommended).

   • (Optional) Create and activate a virtual environment:

     python3 -m venv venv
     source venv/bin/activate    # macOS/Linux
     venv\Scripts\activate       # Windows

   • Inside a day folder, run the exercise file:

     cd "Day\ 01"
     python3 main.py

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Projects and Highlights

Throughout the 100 days, I worked on the following types of projects:

• Basic Syntax & Data Types (Days 01–10) Simple exercises to practice variables, data structures (lists, dictionaries), loops, and functions.

• Games & Interactive Scripts (Days 11–30)

  • Guess the Number Game
  • Tic-Tac-Toe clone
  • Hangman implementation

• API Integration & Web Scraping (Days 31–50)

  • Weather App using a public REST API
  • News headlines scraper with BeautifulSoup
  • Cryptocurrency price tracker

• GUI Applications (Days 51–60)

  • Password Manager with Tkinter
  • Interactive To-Do List

• Web Development (Days 61–80)

  • Flask-based blog app with CRUD functionality
  • Basic Django portfolio website

• Data Analysis & Visualization (Days 81–90)

  • Exploratory data analysis with Pandas
  • Plotting charts using Matplotlib
  • Simple linear regression model and visualization

• Machine Learning Basics (Days 91–100)

  • Classification with scikit-learn
  • Training a decision tree model
  • Capstone: Final project combining multiple concepts (e.g., a small web API using Flask that serves predictions)

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Prerequisites

• Python 3.8 or newer
• Optional but recommended: Virtual environment (venv or conda)

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Summary

This repository serves as a record of my progress through Angela Yu’s Python Bootcamp. It demonstrates how I applied each day’s lessons, including code samples. If you’re following the same course, feel free to compare your solutions or use these files as a reference.