No bullshit guide to linear algebra notebooks
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.
Ch2: Definitions of vectors and matrices
Ch3: Gauss-Jordan elimination and Reduced row echelon form
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
virtualenv -p python3 venv source venv/bin/activate pip install -r requirements.txt
Start the jupyter notebook server using
source pydev/bin/activate jupyter notebook
then click on the link printed in the terminal to open access the notebook interface in your web browser.