This repository is a compilation of labs from Python and Data Science courses, covering essential Python programming, Object-Oriented Programming (OOP), and fundamental data structure concepts. The content is designed to reinforce Python skills and understanding of data science principles.
- Introduction to Python
- Object-Oriented Programming (OOP) in Python
- Python Data Structures
- Data Science Concepts
- Pandas and Data Manipulation
- Matplotlib and Data Visualization
- NumPy and Scientific Computing
- Machine Learning Basics
Explore each lab folder for specific content related to the corresponding module.
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Clone the Repository:
git clone https://github.com/AliNaveed01/python.git cd python-data-science-labs -
Explore Lab Folders:
Navigate to the specific lab folder you are interested in. Open Python files or Jupyter notebooks to view code and complete exercises.
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Install Visual Studio Code (VSCode):
Download and install VSCode from Visual Studio Code.
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Open the Repository in VSCode:
Open VSCode and select "File" > "Open Folder." Choose the cloned repository folder.
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Install Python Extension:
Install the "Python" extension in VSCode for Python development.
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Select Python Interpreter:
Open a Python file, and VSCode will prompt you to select a Python interpreter. Choose an existing one or create a new virtual environment.
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Run Code:
Navigate to the lab file, and use VSCode's "Run Python File in Terminal" option to execute code.
Contributions to this repository are welcome. If you have additional labs, improvements, or corrections, feel free to open an issue or submit a pull request.