numpy-tutorials
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numpy
NumPy tutorials & educational content in notebook format
Document in README.md what options were considered for storing data sets used in the NumPy tutorials and why GitHub was selected as the optimal (interim) solution.
This should help local testing, etc. To close #141 It also addresses (potentially), and close https://github.com/numpy/numpy-tutorials/issues/139 TODO (but opening the PR now to see whether this indeed works on GHA...
Ideally we should handle warnings raised during the tutorials, and fail CI with anything that is unexpected.
This is an idea inspired by #89. Currently, all the (non-executable) markdown source files for the website are stored in the `site/` directory to keep the top-level directory tidy. However,...
Fixed some formatting and extended the static equilibrium tutorial to include np.linalg.solve()
Hi, I have been following the Static Equilibrium tutorial and found it very useful so thank you to @h2o-DS for putting this together. I was wondering if the last example...
The air polution tutorial has a "vectorized" function to calculte the AIQ (IIRC). This can be vectorized using `searchsorted` (which is a bit much work, but not too tricky). I...
Currently missing points: - No outputs should be included in the notebooks - we do prefer `.md` files as opposed to `.ipynb`. Maybe the updated guide should be in a...
Added tutorial-stochastic-simulation.ipynb tutorial which uses the NumPy random number generator to simulation various processes and solve problems. This tutorial was proposed in issue #184.
I would like to propose a stochastic simulation tutorial that teaches using random variables generated from NumPy to simulate various situations and solve problems. The general outline for this tutorial...