These mini projects showcase Python's versatility in practical applications, covering fundamental programming concepts such as calculations, data manipulation, and interactive interfaces. From utilities like converters and calculators to interactive games and trackers, each project emphasizes Python's capability for both learning and real-world application development.
This repository contains a collection of Python mini projects. Below is a list of the projects included:
| No. | Name |
|---|---|
| 01 | ATM Simulator |
| 02 | Alarm Clock |
| 03 | BMI_calulator |
| 04 | Binary-Decimal Converter |
| 05 | Calculator |
| 06 | Chess Game |
| 07 | Countdown timer |
To run any of the projects, follow these steps:
-
Clone the Repository:
- Open your terminal and run:
git clone https://github.com/your-username/python-mini-projects.git cd python-mini-projects
- Open your terminal and run:
-
Navigate to the Project Directory:
- Each project is located in its own directory. Navigate to the directory of the project you want to run, for example:
cd project_name
- Each project is located in its own directory. Navigate to the directory of the project you want to run, for example:
-
Run the Project:
- Use the following command to run the project:
python project_file.py
- Replace
project_file.pywith the actual file name of the project you want to run.
- Use the following command to run the project:
- Go
hereand click the big green ➞Codebutton in the top right of the page, then click ➞Download ZIP.
-
Extract the ZIP and open it. Unfortunately I don't have any more specific instructions because how exactly this is done depends on which operating system you run.
-
Launch ipython notebook from the folder which contains the notebooks. Open each one of them
Kernel > Restart & Clear Output
This will clear all the outputs and now you can understand each statement and learn interactively.
If you have git and you know how to use it, you can also clone the repository instead of downloading a zip and extracting it. An advantage with doing it this way is that you don't need to download the whole tutorial again to get the latest version of it, all you need to do is to pull with git and run ipython notebook again.
You may use this tutorial freely at your own risk. See LICENSE.
- Shravan Dalavi
- Contact: [email protected]
- GitHub: Profile
- Ashwini Sonawane
- Contact: [email protected]
- GitHub: Email
If you like this tutorial, please give it a ⭐ star.
Thank you for visiting my repository! I hope you find my projects interesting and useful. 😊