Advance Python
Jupyter, virtual environments, Python basics, packages and every practical program, runnable right here in the browser.
1Jupyter Notebook and virtual environments
Jupyter Notebook lets you write and run Python in small blocks called cells and see the output right below. A virtual environment keeps the packages for each project separate, so projects do not break each other.
2Python basics recap
A quick recap of the Python you need for AI: variables and printing, operators, input and data types, decisions with if, loops and lists. Pick an example, run it, then change it.
3Python packages for AI
A package is ready-made code you can import. NumPy handles numbers and arrays, Pandas handles tables of data, Matplotlib draws charts, OpenCV processes images and NLTK processes text.
4Practical programs
These are the Advance Python and computer vision programs in the practical syllabus. Run each one, read the output, then change the numbers or file to see what happens.