Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
Linear algebra is the study of vectors and linear transformations. You may be familiar with vectors from learning about them in physics class, but in linear algebra vectors will play a central role so you'll get to know them very well, and also study the types of functions you can apply to vectors. In particular we'll study the linear transformations, which are functions that take vectors as inputs and produce vectors as outputs. Linear transformations can be represented by matrices, thus we can also say that linear algebra is the study of vectors and matrices.
Video: https://www.youtube.com/watch?v=2G3PmEZI6n8
Notebook: Linear_algebra_chapters_overview.ipynb
Video: https://www.youtube.com/watch?v=5ohBydRZvIU
Notebook: chapter02_definitions.ipynb
Video: https://www.youtube.com/watch?v=WfrwVMTgrfc
Notebook: chapter02_linearity_intuition.ipynb
Video: https://www.youtube.com/watch?v=Lfz27_MK-5M
Notebook: chapter03_exercises.ipynb
Notebook: chapter03_problems.ipynb
Notebook: chapter04_problems.ipynb
cut_material/ Less interesting things lessons, and testing
python_basics_zero_based_indexing.ipynb
plotting_work.ipynb example usage for plot_helpers
Linear_algebra_overview_proj_example.ipynb first draft of Overview notebook
extra/
Determinants.ipynb Determinant formula from first principles
Vector fields 2D.ipynb examples of vector fields (can be used for vector calc)
jupyter widgets math demo.ipynb example interactives in notebook
python_basics_zero_based_indexing.ipynb
requirements.txt python packages required to tun these notebooks
util/ Utility and support functions
md_to_ipynb_helper.ipynb convert an outline (markdown list) to notebook cells
notebook_helpers.py used in above
plot_helpers.py functions for potting vectors, lines, and planes
Create a virtual env and install the packages from requirements.txt:
virtualenv -p python3.5 pydev
source pydev/bin/activate
pip install -r requirements.txt
Just start the jupyter notebook server:
source pydev/bin/activate
jupyter notebook
then access the notebooks using your favourite browser.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent