The Python Programming Lab provides students with a hands-on environment to learn and apply core Python programming concepts. Students develop the ability to write Python scripts to solve computational problems, implement data structures, and automate tasks. The lab emphasizes both basic and advanced programming skills, including file handling, error handling, and working with libraries such as NumPy and Pandas. Students are encouraged to create real-world applications, such as data analysis tools and web scrapers, while also exploring object-oriented programming and algorithm development. This practical exposure helps students build proficiency in Python and prepares them for careers in software development, data science, and automation.

Software/Tools Used: Python, Jupyter Notebook, PyCharm, Visual Studio Code, NumPy, Pandas, Matplotlib, Flask.