jupyter-guide-to-linear-algebra

The Jupyter Guide to Linear Algebra covers many of the core topics that would appear in an introductory course on linear algebra, together with several applications. The guide also provides a brief introduction to Python, with focus on the portions that are relevant to linear algebra computations. The Jupyter Guide to Linear Algebra should prove useful to students in a traditional first-year university course on linear algebra.

Features:

Development of a module to be used along side of the Jupyter Guide to Linear Algebra, or independently.
Exercises aimed at exploring linear algebra concepts, as well as exercises to practice writing Python code.
Instruction on the basic use of NumPy, SciPy, and Matplotlib.
Introduction to Hill ciphers, Markov processes, least squares solutions, and other applications of linear algebra.

Name		Name	Last commit message	Last commit date
Latest commit History 117 Commits
img		img
img_src		img_src
.gitignore		.gitignore
Applications.ipynb		Applications.ipynb
Applications_EV.ipynb		Applications_EV.ipynb
Applications_IP.ipynb		Applications_IP.ipynb
Applications_LT.ipynb		Applications_LT.ipynb
Applications_VS.ipynb		Applications_VS.ipynb
Approximating_Eigenvalues.ipynb		Approximating_Eigenvalues.ipynb
Bases.ipynb		Bases.ipynb
Change_Bases.md		Change_Bases.md
Diagonalization.ipynb		Diagonalization.ipynb
Dynamical_Systems.ipynb		Dynamical_Systems.ipynb
Eigenvalues.ipynb		Eigenvalues.ipynb
Eigenvalues_Solutions.ipynb		Eigenvalues_Solutions.ipynb
FrontMatter.md		FrontMatter.md
Gaussian_Elimination.ipynb		Gaussian_Elimination.ipynb
General_Linear_Systems.ipynb		General_Linear_Systems.ipynb
Inner_Products.ipynb		Inner_Products.ipynb
Inner_Products_Solutions.ipynb		Inner_Products_Solutions.ipynb
Introduction_Solutions.ipynb		Introduction_Solutions.ipynb
Inverse_Matrices.ipynb		Inverse_Matrices.ipynb
Jupyter_Introduction.ipynb		Jupyter_Introduction.ipynb
LU_Factorization.ipynb		LU_Factorization.ipynb
Least_Squares_Solutions.ipynb		Least_Squares_Solutions.ipynb
Linear_Combinations.ipynb		Linear_Combinations.ipynb
Linear_Independence.ipynb		Linear_Independence.ipynb
Linear_Systems.ipynb		Linear_Systems.ipynb
Linear_Systems_Solutions.ipynb		Linear_Systems_Solutions.ipynb
Linear_Transformations.ipynb		Linear_Transformations.ipynb
Linear_Transformations_Solutions.ipynb		Linear_Transformations_Solutions.ipynb
Matrix_Algebra.ipynb		Matrix_Algebra.ipynb
Matrix_Representations.ipynb		Matrix_Representations.ipynb
Numpy_Introduction.ipynb		Numpy_Introduction.ipynb
Orthogonal_Subspaces.ipynb		Orthogonal_Subspaces.ipynb
Orthogonalization.ipynb		Orthogonalization.ipynb
Planar_Transformations.ipynb		Planar_Transformations.ipynb
Preface.ipynb		Preface.ipynb
Projections.ipynb		Projections.ipynb
Python_Errors.ipynb		Python_Errors.ipynb
Python_Introduction.ipynb		Python_Introduction.ipynb
QR_Factorization.ipynb		QR_Factorization.ipynb
README.md		README.md
Solutions.ipynb		Solutions.ipynb
Solving_Systems.ipynb		Solving_Systems.ipynb
Vector_Space_Examples.ipynb		Vector_Space_Examples.ipynb
Vector_Spaces.ipynb		Vector_Spaces.ipynb
Vector_Spaces_Solutions.ipynb		Vector_Spaces_Solutions.ipynb
_config.yml		_config.yml
_toc.yml		_toc.yml
hillcipher.py		hillcipher.py
intro.ipynb		intro.ipynb
laguide.py		laguide.py
logo.png		logo.png
references.bib		references.bib
reflection_logo.png		reflection_logo.png
requirements.txt		requirements.txt

bvanderlei/jupyter-guide-to-linear-algebra

Folders and files

Latest commit

History

Repository files navigation

jupyter-guide-to-linear-algebra

About

Resources

Stars

Watchers

Forks

Languages