now create 5 projects intermideate Level#
Here are 5 intermediate-level Python projects that combine multiple concepts you’ve learned and help strengthen your skills. Each project comes with a brief description to get you started and what concepts it covers. 🚀
1. Personal Expense Tracker 💰#
Description: Build a program that lets users add, view, and categorize their daily expenses. Users can save expenses to a file, view summaries by category, and get a monthly report.
Concepts Covered:
- File handling (saving/loading data)
- Dictionaries (category-wise expenses)
- Functions and modular code
- Date and time (timestamp expenses)
- Exception handling for input errors
2. Quiz Application 📝#
Description: Create a quiz app with multiple-choice questions stored in a dictionary or JSON file. The app should track user scores, give feedback, limit retries, and show a final report.
Concepts Covered:
- Dictionaries and lists for questions
- Loops and conditionals for interaction
- Functions for modularity
- File handling to load/save scores (optional)
- Exception handling for robust input processing
3. Simple Blog CMS (Command Line) 📰#
Description: Develop a command-line blog content management system where users can create, edit, delete, and list blog posts saved as text files. Add timestamps for posts and enable searching posts by keywords.
Concepts Covered:
- File handling with multiple files
- String manipulation and regular expressions (search)
- OOP for post objects
- Date and time for timestamps
- Exception handling for file errors
4. Contact Book with Search and Update 📞#
Description: Create an interactive contact book app to add, update, delete, and search contacts. Save contacts in a file, allow search by name or phone, and update details easily.
Concepts Covered:
- Dictionaries for contacts
- File handling for persistence
- Loops and conditionals for menu-driven program
- Functions and exception handling
- String formatting for better display
5. Weather Data Analyzer ☁️#
Description: Download or input weather data (temperature, humidity, pressure) in CSV or JSON format, then analyze trends like average temperature, hottest day, etc. Visualize data with text-based charts or summary tables.
Concepts Covered:
- File handling (CSV/JSON)
- Lists and dictionaries for data storage
- Functions for reusable analysis code
- Use of external packages (like
matplotlibfor plots, optional) - Exception handling for file/data errors
These projects will help you practice and combine key Python skills—including data structures, file I/O, OOP concepts, and more—preparing you for even more complex programming challenges! 🎉
Would you like detailed guides or starter code for any of these?
