Module 7: Mathematical Operations for Autonomous Driving
Introduction to NumPy for numerical computing Array creation and manipulation
Introduction to NumPy for numerical computing Array creation and manipulation
Defining and using functions Function arguments and return values Understanding
Lists, tuples, dictionaries, and sets List comprehensions and their applications
Setting up the Python environment Basic syntax, variables, and data
STL containers: array, vector, deque, list Choosing containers for embedded
Function and class templates Template specialization and partial specialization Compile-time
Overview of C++11/14/17/20 features Auto keyword, range-based for loops, uniform