Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.
Explores threads in programming, shared data challenges, locks, and thread management in graphical interfaces and web applications.
Introduces variables, objects, and types in Python, emphasizing the significance of object mutability and its implications when passing objects to functions.
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
