斯坦福“科学家/工程师软件开发”课程笔记

斯坦福“科学家/工程师软件开发”课程笔记

Python 学习教程

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详细介绍

CME 211 Notes

2019 CME 211 Canvas page: https://canvas.stanford.edu/courses/104580

In each folder:

  • .md files contain the notes with input code
  • .ipynb files are Jupyter notebooks with output from code
  • .pdf files are generated from .md files and don't have output from code

Contents

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, 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

Acknowledgements

Thanks to Patrick LeGresley and Nick Henderson for designing the structure of the course and the foundations for these notes.