This repository contains my solutions to the Scientific Computing with Python certification projects from freeCodeCamp. Each project showcases Python programming fundamentals, focusing on computation, data handling, and clean code practices.
The Scientific Computing with Python certification covers:
- Python basics
- Functions and control flow
- Data structures (lists, dicts, tuples)
- String formatting
- File operations
- Testing and debugging
These concepts are applied through hands-on mini-projects.
| No. | Project Name | File | Description |
|---|---|---|---|
| 1. | Arithmetic Formatter | arithmetic_formatter(proj_1).py |
Formats a list of arithmetic problems vertically and optionally displays the result. |
| 2. | Time Calculator | time_calculator(proj_2).py |
Adds a duration to a start time and returns the new time and day of the week. |
| 3. | Budget App | budget_tracker_proj3.py |
Simulates budgeting and creates a spending chart using . |
These projects are part of the certification and will be added soon:
- Polygon Area Calculator
- Probability Calculator
Stay tuned for updates!
- Python 3.10+
- Based on freeCodeCamp's Scientific Computing with Python Certification
- https://www.freecodecamp.org/learn/scientific-computing-with-python/
Krishna Sharma – @krishna2426
"# scientifc-programming-with-fcc-projects" "# scientifc-programming-with-fcc-projects"