2018 CME 211 Canvas page: https://canvas.stanford.edu/courses/87822
In each folder:
.mdfiles contain the notes with input code.ipynbfiles are Jupyter notebooks with output from code.pdffiles are generated from.mdfiles and don't have output from code
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: SciPy, NumPy, and matplotlib
- Lecture 8: Introduction to Pandas
- 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,mapandset - 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
We stand on the shoulders of giants: thanks to Patrick LeGresley and Nick Henderson for designing the structure of the course and the foundations for these notes.