Explores car data analysis using Python programming for tasks like file handling, dictionary creation, and attribute analysis.
Covers Python basics, Git, control structures, functions, file handling, and debugging using PDB.
Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
Covers error management, exceptions, and debugging techniques in C++, emphasizing the importance of making code more robust and easier to debug.
Introduces Python programming basics, covering variables, methods, conditions, loops, and boolean logic.
Introduces fundamental C programming concepts, covering variables, control structures, functions, and pointers, with practical examples and exercises.
Introduces string formatting in Python, covering f-strings, precision, alignment, and common formatting types.
