Cheng Wei's repositories
pcc
Resources for Python Crash Course, from No Starch Press.
OpenSees
OpenSees Source Code Repository
wtfpython-cn
wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译
LearnPython
以撸代码的形式学习Python
ElasticityTeaching
弹性力学教学辅助
wtfpython
A collection of surprising Python snippets and lesser-known features.
FECourseExercise
Finite element course exercise
FEM_Teaching_WangXC
有限元法教学辅助
modern-cpp-tutorial
📚 C++11/14/17 On the Fly
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
plantuml
Generate UML diagram from textual description
Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
Kaggle_Titanic
Kaggle Titanic problem forked from 寒小阳
xeus-cling
C++ Jupyter Kernel
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Python-Lectures
IPython Notebooks to learn Python
python_reference
Useful functions, tutorials, and other Python-related things
pynotes
Python exercises to practice skills
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
python-reference
Python Quick Reference
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
python-for-data-analysis
An introduction to data science using Python and Pandas with Jupyter notebooks.
Math-of-Machine-Learning-Course-by-Siraj
Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
pandas-cookbook
Recipes for using Python's pandas library
vagrant_jupyter_cpp
A quick way to use C++ in a Jupyter notebook by running Cling interpreter via Xeus-Cling kernel
scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
python-for-developers
This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, among other issues.