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100 Days of Code: The Complete Python Pro Bootcamp


Sharing my code solutions from the Udemy-Course of 100 Days of Code: The Complete Python Pro Bootcamp

πŸ‘Ά Beginner

  • 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

✍️ Intermediate

  • 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

πŸ‘¨β€πŸ’» Intermediate+

  • 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: Send SMS
  • 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 Boostrap

πŸ’ͺ Advanced

  • 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: Web Design School - 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: Git, GitHub and Version Control
  • Day 71: Deploying Your Web Application
  • Day 72: Data Exploration with Pandas: College Major v.s. Your Salary
  • Day 73: Data Visualisation with Matplotlib: Programming Languages
  • Day 74: Aggregate & Merge Data with Pandas: Analyse the LEGO Dataset
  • Day 75: Google Trends Data: Resampling and Visualising Time Series
  • Day 76: Beautiful Plotly Charts & Analysing the Android App Store
  • Day 77: Computation with NumPy and N-Dimensional Arrays
  • Day 78: Linear Regression and Data Visualisation with Seaborn
  • Day 79: Analysing the Nobel Prize with Plotly, Matplotlib & Seaborn
  • Day 80: The Tragic Discovery of Handwashing: t-Tests & Distributions

πŸš€ Professional Portfolio Projects

βš™οΈ Tools and Technologies Covered

🐍 Python Development

  • Scripting and Automation: Automating repetitive tasks and scripting using Python.
  • GUI Desktop App Development: Creating graphical user interfaces for desktop applications.
    • TKinter: A standard GUI library for Python.
    • Turtle: A pre-installed Python library for creating pictures and shapes.
    • Game Development: Developing games using Python.
  • Object-Oriented Programming (OOP): Utilizing classes and objects to create more modular, efficient code.
  • Data Science: Analyzing and interpreting complex data sets.
    • Pandas: A library providing high-performance, easy-to-use data structures.
    • NumPy: A fundamental package for scientific computing with Python.
    • Matplotlib: A plotting library for creating static, animated, and interactive visualizations.
    • Plotly: An interactive graphing library.
    • Scikit learn: A tool for data mining and data analysis.
    • Seaborn: A library for making statistical graphics.

🌐 Web Development

  • Front-End Web Development: Designing and developing the user interface of websites.
    • HTML 5: The standard markup language for creating Web pages.
    • CSS 3: The language used to style an HTML document.
    • Bootstrap 5: A framework for building responsive, mobile-first sites.
  • Backend Web Development: Server-side development focusing on databases, scripting, and website architecture.
    • Flask: A micro web framework written in Python.
    • WTForms: A flexible forms validation and rendering library for Python web development.
    • REST: Architectural style for designing networked applications.
    • Authentication: Verifying the identity of a user or process.
    • APIs: Application Programming Interfaces allow communication between software intermediaries.

πŸ’Ύ Databases

  • SQL: A domain-specific language used in programming for managing data held in a relational database.
  • SQLite Database: A C-language library that implements a small, fast, self-contained, high-reliability, full-featured SQL database engine.
  • SQLAlchemy (CRUD Operations): A SQL toolkit and Object-Relational Mapping (ORM) library for Python.
  • PostgreSQL: A powerful, open-source object-relational database system.

🌍 Deployment & Version Control

  • Deployment with GitHub Pages, Heroku, and GUnicorn: Methods and tools for deploying applications and websites.
  • Git, GitHub, and Version Control: Software for tracking changes in any set of files, typically used for coordinating work among programmers collaboratively.
    • Bash Command Line: A Unix shell and command language.

🎨 Web Design & Scraping

  • Web Design: The process of planning and building the elements of your website.
  • Web Scraping: Extracting data from websites.
    • Beautiful Soup: A library for pulling data out of HTML and XML files.
    • Selenium Web Driver: A tool for automating web browser interaction.
    • Request: A simple HTTP library for Python.

πŸ› οΈ Development Environments

  • PyCharm: An integrated development environment for Python.
  • Jupyter Notebook: An open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
  • Google Colab: A free Jupyter notebook environment that requires no setup and runs entirely in the cloud.