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python-notebooks's Introduction

Binder Book

This tutorial is made for scientists who want to learn Python and eventually step from Matlab.

Python is a general programming language with many scientific libraries. It is optimized to be easy to develop in. The same is not true for Matlab which is a domain-specific language.

  1. Install Miniforge

  2. Download this repository:

git clone https://github.com/pnavaro/python-notebooks.git

or download as a zip file.

  1. Create a new conda environment:
conda env create -f environment.yml -n python-navaro
source activate python-navaro  # Linux OS/X
activate python-navaro         # Windows
  1. If you have an existing installation of Jupyter install the new kernel with:
conda run -n python-navaro python -m ipykernel install --user --name python-navaro
  1. Open notebooks with:
cd python-notebooks
jupyter notebook

Pierre

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python-notebooks's Issues

map function

In chapter 4, it is stated that map function is more fast than for loop. An example is given comparing a comprehension list and map function. But map function returns an iterator, and the comprehension list example returns... a list. So these operations are not comparable. At least, you can compare:
lmap = map(f,M) with lfor = (f(m) for m in M), which is a comprehension that returns an iterator. It turns out that map is actually faster than iterator comprehension, but less than twice.

License?

Hello @pnavaro, any LICENSE file for this content?
Thanks for publishing!

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