This repository documents my 100 Days of Code journey focused on refreshing my Python skills, with a particular emphasis on MLOps and AI engineering. The goal is to build a strong foundation in Python programming while diving deep into the engineering aspects of deploying and scaling machine learning models in real-world applications.
As I work through each day of coding challenges and projects, I’ll be honing my skills in Python, machine learning, and MLOps tools and frameworks. This repo serves as a log of my progress, showcasing my projects, challenges, and solutions along the way.
After gaining experience in machine learning and AI, I’ve realized the importance of understanding the engineering side of these fields. While I’m familiar with Python for ML, I want to refresh and strengthen my Python skills and focus on MLOps—the process of operationalizing machine learning models—and AI engineering—the end-to-end lifecycle of AI systems, from development to deployment and scaling.
This journey is about revisiting the fundamentals, mastering the tools, and working on hands-on projects that combine Python, machine learning, MLOps, and AI engineering. Throughout this repository, you’ll find my daily coding challenges, mini-projects, and solutions as I tackle new concepts and refine my skills.
- Day 1: Working with Variables in Python to Manage Data
- Day 2: Understanding Data Types and How to Manipulate Strings
- Day 3: Control Flow and Logical Operators
- Day 4: Randomisation and Python Lists
- Day 5: Python Loops
- Day 6: Python Functions & Karel
- Day 7: Hangman
- Day 8: Function Parameters & Caesar Cipher
- Day 9: Dictionaries, Nesting and the Secret Auction
- Day 10: Functions with Outputs
- Day 11: The Blackjack Capstone Project
- Day 12: Scope & Number Guessing Game
- Day 13: Debugging: How to Find and Fix Errors in your Code
- Day 14: Higher Lower Game Project
- Day 15: Local Development Environment Setup & the Coffee Machine
- Day 16: Object Oriented Programming (OOP)
- Day 17: The Quiz Project & The Benefits of OOP
- Day 18: Turtle & the Graphical User Interface (GUI)
- Day 19: Instances, State and Higher Order Functions
- Day 20: Build the Snake Game Part 1: Animation & Coordinates
- Day 21: Build the Snake Game Part 2: Inheritance & List Slicing
- Day 22: Build Pong: The Famous Arcade Game
- Day 23: The Turtle Crossing Capstone Project
- Day 24: Files, Directories and Paths
- Day 25: Working with CSV Data and the Pandas Library
- Day 26: List Comprehension and the Nato Alphabet
- Day 27: Tkinter, *args, **kwargs and Creating GUI Programs
- Day 28: Tkinter, Dynamic Typing and the Pomodoro GUI Application
- Day 29: Building a Password Manager GUI App with Tkinter
- Day 30: Errors, Exceptions and JSON Data: Improving the Password Manager
- Day 31: Flash Card App Capstone Project
- Day 32: Send Email (smtplib) & Manage Dates (datetime) - Automated Birthday Wisher
- Day 33: API Endpoints & API Parameters - ISS Overhead Notifier
- Day 34: API Practice - Creating a GUI Quiz App
- Day 35: Keys, Authentication & Environment Variables - Telegram Rain Notifier
- Day 36: Stock Trading News Alert Project
- Day 37: Habit Tracking Project: API Post Requests & Headers
- Day 38: Workout Tracking Using Google Sheets
- Day 39: Capstone Part 1: Flight Deal Finder
- Day 40: Capstone Part 2: Flight Club
- Day 41: Introduction to HTML
- Day 42: Intermediate HTML
- Day 43: Introduction to CSS
- Day 44: Intermediate CSS
- Day 45: Web Scraping with Beautiful Soup
- Day 46: Create a Spotify Playlist Using The Musical Time Machine
- Day 47: Create an Automated Amazon Price Tracker
- Day 48: Selenium Webdriver Browser and Game Playing Bot
- Day 49: Automating Job Applications on LinkedIn
- Day 50: Auto Tinder Swiping Bot
- Day 51: Internet Speed Twitter Complaint Bot
- Day 52: Instagram Follower Bot
- Day 53: Web Scraping Capstone - Data Entry Job Automation
- Day 54: Introduction to Web Development with Flask
- Day 55: HTML & URL Parsing in Flask and the Higher Lower Game
- Day 56: Rendering HTML/Static Files and Using Website Templates
- Day 57: Templating with Jinja in Flask Applications
- Day 58: Web Foundation Bootstrap
- Day 59: Blog Capstone Project Part 2 - Adding Styling
- Day 60: Make POST Requests with Flask and HTML Forms
- Day 61: Building Advanced Forms with Flask-WTForms
- Day 62: Flask, WTForms, Bootstrap, and CSV - Coffee & Wifi Project
- Day 63: Databases and with SQLite and SQLAlchemy
- Day 64: My Top 10 Movies Website
- Day 65: How to Create a Website That People Will Love
- Day 66: Building Your Own API with RESTful Routing
- Day 67: Blog Capstone Project Part 3 - RESTful Routing
- Day 68: Authentication with Flask
- Day 69: Blog Capstone Project Part 4 - Adding Users
- Day 70: Deploying Your Web Application with Heroku
- Day 71: Data Exploration with Pandas: College Major vs. Your Salary
- Day 72: Data Visualisation with Matplotlib: Programming Languages
- Day 73: Aggregate & Merge Data with Pandas: Analyse the Lego Dataset
- Day 74: Google Trends Data: Resampling and Visualising Time Series
- Day 75: Beautiful Plotly Charts & Analysing the Android App Store
- Day 76: Computation with NumPy and N-Dimensional Arrays
- Day 77: Linear Regression and Data Visualisation with Seaborn
- Day 78: Analysing the Nobel Prize with Plotly, Matplotlib & Seaborn
- Day 79: The Tragic Discovery of Handwashing: t-Tests & Distributions
- Day 80: Capstone Project - Predict House Prices
- Day 81: Text to Morse Code Converter
- Day 82: Portfolio Website
- Day 83: Tic Tac Toe
- Day 84: Image Watermarking Desktop App
- Day 85: Typing Speed Test App
- Day 86: Breakout: The Famous Arcade Game
- Day 87: Cafe and Wifi Website
- Day 88: To Do Agenda App
- Day 89: Disappearing Text Writing App
- Day 90: Convert PDF to Audiobook
- Day 91: Image to Color List
- Day 92: Amazon Canada Web Scraper
- Day 93: Google Dinosaur Game Bot
- Day 94: Space Invaders
- Day 95: Custom API
- Day 96: An Online Shop
- Day 97: Percentage Calculator
- Day 98: Analyzing and Visualizing the Space Race
- Day 99: Analyzing Deaths Involving Police in the United States
- Day 100: Predicting Earnings using Multivariable Regression
- Languages: Python 3
- IDEs: PyCharm, Jupyter Notebook, Google Colab
- Scripting & Automation: Python Scripting, Bash Command Line
- Game Development: Python Game Development, Turtle
- Web Scraping: Beautiful Soup, Selenium Web Driver, Requests
- Web Development: Flask, HTML 5, CSS 3, Bootstrap 4, WTForms, Jinja, REST, APIs
- GUI Development: Tkinter
- Data Science: Pandas, NumPy, Matplotlib, Plotly, Scikit-learn, Seaborn
- Databases: SQL, SQLite, PostgreSQL, SQLAlchemy
- Version Control: Git, GitHub
- Authentication & Deployment: Authentication, GitHub Pages, Heroku, GUnicorn
- Web Design: Web Design Principles
- Browse the folders for daily challenges and projects.
- Read the code and documentation for each day.
- Clone the repo and try the challenges yourself.
- Check back for updates as the journey progresses.
Feel free to reach out via GitHub Issues or LinkedIn for questions, suggestions, or collaboration!