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:
Follow these steps to explore and use this repository effectively:
Clone the repository to your local machine using the following command:
git clone https://github.com/ShravanDalavi/Simple-Python-Mini-Projects.gitAlternatively, you can download the repository as a ZIP file and extract it.
Once cloned, navigate to the project directory:
cd Simple-Python-Mini-Projects/<Project Name>Each mini-project is stored in its own directory. You can browse through the folders to find the projects of interest. Each folder contains:
- A Python file (
*.py) with the source code for the project. - A
README.mdfile (if available) with a brief description of the project.
To run a specific project:
- Open a terminal or command prompt.
- Navigate to the project directory, e.g.,
cd Project-Name - Run the Python file using:
python project_name.py
Replace project_name.py with the actual file name.
Feel free to modify the projects to experiment with the code and add new features. To edit a project:
- Open the project file in your favorite code editor (e.g., VSCode, PyCharm, or Sublime Text).
- Make your changes and save the file.
- Run the project to test your changes.
Before running the projects, ensure you have:
- Python installed (version 3.x is recommended). You can download it from python.org.
- Basic knowledge of Python programming.
- 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: Profile
We value your input! If you encounter any issues or have suggestions, please open an issue in this repository. Your feedback helps us improve!
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Thank you for exploring this repository! I hope you find these projects both interesting and useful. 😊