Check some references

[palmoreck]

Julia, CVXPy, Jupyter notebooks examples:

http://www.juliaopt.org/Convex.jl/stable/examples/portfolio_optimization/portfolio_optimization2/

https://colab.research.google.com/github/cvxpy/cvxpy/blob/master/examples/notebooks/WWW/mTSP_en.ipynb

https://www.cvxpy.org/examples/basic/linear_program.html https://www.cvxpy.org/examples/applications/MM.html?highlight=multiply

https://github.com/cvxgrp/pymde/tree/main/examples https://github.com/cvxgrp/pymde https://github.com/cvxgrp/cvx_short_course/blob/master/exercises/13.20.ipynb https://github.com/cvxgrp/cvx_short_course/blob/master/exercises/Lasso.ipynb

https://www.cvxpy.org/examples/applications/tv_inpainting.html

https://nbviewer.jupyter.org/github/cvxgrp/cvxpy/blob/master/examples/notebooks/WWW/tv_inpainting.ipynb

https://stackoverflow.com/questions/22937589/how-to-add-noise-gaussian-salt-and-pepper-etc-to-image-in-python-with-opencv

https://stanford.edu/~boyd/papers/cvx_short_course.html

https://nbviewer.jupyter.org/github/cvxgrp/cvx_short_course/blob/master/applications/portfolio_optimization.ipynb

https://nbviewer.jupyter.org/github/cvxgrp/cvx_short_course/blob/master/intro/SVM.ipynb

https://github.com/cvxgrp

https://www.cvxpy.org/tutorial/dcp/index.html?highlight=norm

https://www.cvxpy.org/examples/index.html#basic

https://www.cvxpy.org/examples/basic/least_squares.html

https://colab.research.google.com/github/cvxgrp/cvx_short_course/blob/master/applications/model_fitting.ipynb

Kubernetes

https://www.katacoda.com/courses/kubernetes/playground

https://kubernetes.io/es/docs/tutorials/kubernetes-basics/create-cluster/cluster-interactive/

https://kubernetes.io/es/docs/tutorials/hello-minikube/