This repository contains a collection of small Python projects that can be integrated into larger projects. The projects cover a wide range of topics, including data manipulation, web scraping, machine learning, and more.
Python is a high-level programming language known for its simplicity, readability, and versatility. The repository covers the following basic programming concepts in Python:
- Variables: Assigning values to variables, data types, and variable scope.
- Control Structures: Conditional statements (if/else), loops (for/while), and exception handling (try/except).
- Functions: Defining functions, passing arguments, and returning values.
- Classes and Objects: Creating classes, defining methods, and instantiating objects.
- Modules and Packages: Importing modules and packages, creating and distributing packages.
Python has a vast ecosystem of libraries that can be used for various purposes. The repository includes examples of projects that use the following popular libraries:
- NumPy: A library for numerical computing that provides support for large, multi-dimensional arrays and matrices.
- Pandas: A library for data manipulation and analysis that provides data structures for efficiently storing and manipulating large datasets.
- Requests: A library for sending HTTP requests and working with APIs.
- BeautifulSoup: A library for web scraping that provides tools for parsing HTML and XML documents.
- Scikit-learn: A library for machine learning that provides tools for classification, regression, clustering, and dimensionality reduction.
- Pygame: A library for game development that provides tools for creating 2D games.
- Django: A web framework for building web applications using Python.
To get started with Python, follow these steps:
- Download Python: Visit the Python website and download the latest version of Python for your operating system.
- Install Python: Run the downloaded installer and follow the on-screen instructions to install Python.
- Verify installation: Open a terminal or command prompt and run the following command:
python --version
If the installation was successful, the output should show the version number of Python.
To use this repository, follow these steps:
Clone the repository: Open a terminal or command prompt and navigate to the directory where you want to store the repository. Then run the following command:
git clone https://github.com/anandanmukh/python_mini_projects.git
Replace username with your GitHub username.
Navigate to a project: Navigate to the directory of a project that you want to explore. Each project is located in a separate directory.
Install dependencies: Run the following command to install the dependencies for the project:
pip install -r requirements.txt
Python is a powerful programming language with a vast ecosystem of libraries and tools that can be used for various purposes. This repository provides a collection of small projects that demonstrate the basic programming concepts and popular libraries in Python, and can be integrated into larger projects. To get started, download