Practical Python Code Adventure is a series of 10 interactive coding challenges, each with two parts, inspired by Advent of Code. Built with Flask, this application allows users to log in via Discord, track their progress, and gain access to exclusive discussion channels upon completing challenges.
This project is currently LIVE on the Practical Python website. Come and join in on the challenges!

Key Features:

• Interactive Challenges:
  • Engage with coding problems that test your skills and creativity based on common algorithms and data structures.
  • Each challenge consists of two parts, allowing for independent problem-solving.
  • The development of these challenges showcases my ability to create educational content that is both engaging and instructive. Demonstrating not only my ability to solve these types of challenges but also build them from scratch.
• Discord Integration:
  • Seamless login through Discord OAuth for easy progress tracking.
  • Grants access to exclusive discussion channels on Discord upon completing challenges.
• Dynamic Content:
  • Challenges and solutions are stored in a PostgreSQL database for easy updates.
  • Content can be modified without disrupting user experience.
• Obfuscation:
  • Unique challenge identifiers add an element of mystery and prevent cheating.
• Admin Dashboard:
  • Feature-rich dashboard with a clean, intuitive UI/UX, enabling administrators to seamlessly manage web app content and perform real-time updates to the database.

Skills and Technologies Used:

• Flask: Utilized as the web framework for building the application, enabling efficient routing and session management.
• Python: Employed for backend development, including challenge logic and user authentication.
• PostgreSQL: Used for storing challenge data, user progress, and solutions dynamically.
• HTML/CSS: Implemented for creating a user-friendly interface and ensuring responsive design.
• Docker: Dockerized to work with Docker Compose and integrate easily with AWS EC2.
• JavaScript: Used for enhancing interactivity and improving user experience through dynamic content updates.

This project not only showcases my coding proficiency but also highlights my ability to teach and create content independently. By developing challenges that are both challenging and educational, I demonstrate a commitment to enhancing the learning experience for users. The focus on usability and engagement makes it a valuable tool for users looking to sharpen their coding skills.

This PyQt-based calculator project showcases the use of Python in GUI design, event handling, and logic-based programming within a structured, object-oriented framework. All while creating a functional calculator.

Key Features:

• User Interface Design with PyQt:
  Customized, interactive interface using PyQT’s QMainWindow, QFrame, and QPushButton components, styled with color themes through PyQT's setStyleSheet method, creating a clear visual distinction between different calculator functions.

  The in-browser demonstration recreates the interface using PyScript along with HTML and CSS, without relying on PyQt functionality.

• Event Handling & Functional Programming:
  Designed responsive button interactions with PyQT event handling, using partial functions to associate specific operations with individual buttons, implementing functionality for a wide range of calculator operations, including basic arithmetic, memory functions, and error handling.
• Code Structure & Object-Oriented Design:
  Class-based structure, encapsulating the calculator's components in a class for the main window, and defining methods for specific functionalities (e.g., clear_mem, totaling, add_operator), making the code modular, easier to expand, and straightforward to maintain or modify.

This project demonstrates the ability to create visually intuitive applications, managing stateful interactions, and applying clean, organized code with GUI frameworks like PyQt.

This project is a tool designed for scraping credit card purchase data from a bank's website, categorizing transactions, and generating detailed financial summaries in Excel. Utilizing Python for backend processing and integrating with Excel for user-friendly data management, this tool streamlines the process of tracking and analyzing expenses.

Key Features:

• Web Scraping & Data Parsing:
  Employs Python libraries such as BeautifulSoup and Pandas to scrape and parse HTML content from the bank's website. The tool extracts relevant purchase data, including transaction dates, descriptions, and amounts, and organizes it into a structured format suitable for analysis.
• Excel Integration & Automation:
  Generates a comprehensive Excel file that allows users to view, modify, and categorize their purchases. The project includes VBA scripts that automate data handling, enabling users to easily manipulate the data and generate summaries based on custom categories.
• Email Notification System:
  Implements an email notification system using Python's SMTP library. This feature allows users to send the generated PDF summary directly from Excel to designated recipient, ensuring that financial summaries are easily accessible.
• AppleScript Integration:
  Incorporates AppleScript to execute Python scripts directly from within Excel. This integration enhances the user experience by streamlining the process of generating PDF reports and sending emails, making the tool more intuitive and user-friendly.
• Customizable Categorization:
  Allows users to customize transaction categories through a user-friendly interface in Excel. Users can modify the categorization logic in the Python script, ensuring that the tool adapts to individual financial tracking needs.

This project showcases the ability to integrate web scraping, data manipulation, and GUI automation, demonstrating proficiency in Python programming, Excel VBA, and AppleScript. It provides a practical solution for financial tracking and analysis, empowering users to easily take control of their expenses.

This project is a mock-up web application developed for the fictional "Dr. Pug Animal Clinic", aimed at facilitating the electronic management and scheduling of veterinary appointments. Leveraging Flask as the web framework and SQLite as the database, the app provides a user-friendly interface for clients to book appointments, eliminating the need for a receptionist and significantly streamlining the appointment process.

Key Features:

• User Registration and Login:
  • Secure account creation and authentication process, ensuring that only registered users can access the appointment scheduling features.
  • Users can easily register with a username and password, with validation checks to enhance security.
• User Settings:
  • Users can manage their personal information, including email addresses and passwords, through a dedicated settings page.
  • Pet registration functionality allows users to add and manage their pets, ensuring that appointments can only be made for registered pets.
• Informative Pages:
  • Doctors Page: Displays a list of available doctors at the clinic, complete with photographs and short bios to help users make informed choices.
  • Access Page: Provides directions to the clinic, including a Google Maps embed for easy navigation and public transportation information.
  • Hours Page: Clearly shows the clinic's hours of operation, which are dynamically retrieved from the database.
• Appointment Booking:
  • Users can select their preferred doctor and pet from intuitive drop-down menus, simplifying the booking process.
  • An availability chart displays the next five days segmented into thirty-minute intervals, visually indicating availability with color-coded indicators:
    • Circle (◯): Lots of availability
    • Triangle (△): Limited availability
    • X (✕): No availability
• Appointment Management:
  • Users can view their upcoming appointments, with options to cancel or delete them as needed.
  • Past appointments are also displayed for reference, allowing users to keep track of their veterinary history.

This project showcases an integration of web development technologies, demonstrating proficiency in Python programming, use of the Flask framework, database management, and front-end design. The application not only enhances the efficiency of veterinary practices but also significantly improves the client experience by providing a seamless and user-friendly platform for managing pet healthcare appointments. The focus on usability and accessibility makes it a valuable tool for both the clinic and its clients.