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@@ -31,8 +31,12 @@ We always welcome new tutorial requests, just click [here](https://github.com/Co
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1.**[Cosmology with Python wrappers for Einstein-Boltzmann Codes](https://github.com/CosmoStat/Tutorials/tree/boltzmann)** | [](https://github.com/CosmoStat/Tutorials/tree/boltzmann)[](https://www.youtube.com/watch?v=EMpCxUvF3lc)
This tutorial is comprised of a series of Jupyter notebooks with simple demonstrations and exercises on how to use `CAMB` and `CLASS` using python wrappers. The code is designed for non-experts in the field, therefore it includes relatively simple explanations of cosmological concepts. It intends to show a general overview of the things that are possible with Einstein-Boltzmann codes and python.
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This tutorial is comprised of a series of Jupyter notebooks with simple demonstrations and exercises on how to use `CAMB` and `CLASS` using python wrappers. The code is designed for non-experts in the field, therefore it includes relatively simple explanations of cosmological concepts. It intends to show a general overview of the things that are possible with Einstein-Boltzmann codes and python.
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2.**[Power Spectrum](http://github.com/CosmoStat/Tutorials/tree/power-spectrum)** | [](http://github.com/CosmoStat/Tutorials/tree/power-spectrum)[](https://colab.research.google.com/github/CosmoStat/Tutorials/blob/power-spectrum/WL_power_spectrum.ipynb)
This tutorial presents how to compute a power spectrum from a lensing map (in the flat sky approximation) and how to compute the corresponding theory spectrum using a cosmology code.
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### Data Science
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1.**[Introduction to Python](https://github.com/CosmoStat/Tutorials/tree/python)** | [](https://github.com/CosmoStat/Tutorials/tree/python)[](https://www.youtube.com/watch?v=cbekcGxm70Q&list=PLquvp9RIoLGBFfsz8dqzPtLeaEngHYybM)[](https://mybinder.org/v2/gh/CosmoStat/Tutorials/python)
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