2022 CME 211 Canvas page: https://canvas.stanford.edu/courses/158790

In each folder in the lecture directory contents page on GitHub (i.e. this page), there will be either a *.pdf or a *.ipynb file that contains the lecture notes; you can ignore the *.tex or the .md files. Sometimes, there will be other stand-alone code examples as well, these all end in *.py.

There will be 18 lectures this year.

• Lecture 0: Getting started
• Lecture 2: Introduction to Python
• Lecture 3: Python containers
• Lecture 4: Python functions and complexity analysis
• Lecture 5: Python object model, modules, exceptions
• Lecture 6: Python object oriented programming
• Lecture 7: Data representation and NumPy
• Lecture 8: Pandas, SciPy, Matplotlib
• Lecture 9: Introduction to LaTeX
• Lecture 10: Introduction to C++, static arrays, variable scope, looping
• Lecture 11: C++ conditionals, file IO, dynamic memory
• Lecture 12: C++ functions, IO formatting and stringstreams, preprocessor, and #include
• Lecture 13: C++ containers: vector, tuple, map and set
• Lecture 14: Compilation, Makefiles
• Lecture 15: Boost MultiArray
• Lecture 16: C++ object oriented programming part 1
• Lecture 17: C++ object oriented programming part 2, memory management
• Lecture 18: Introduction to Functional Programming in Scala