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Python Performance (for Poets, Dreamers, and Doers)

We use Python 3.7 and a few extra packages in this tutorial:

For demonstration/pedagogy:

  • jupyter - to present notebooks

For visualization of code profiles:

  • snakeviz - Graphical visualization
  • line_profiler - Line-level illustration

binder (option 1)

Just click and run!

Binder

conda setup (option 2)

You can install all of these in one fell swoop using conda and running

conda create -n pycon_poets python=3.7 jupyter snakeviz line_profiler

or you can use the provided environment.yml file

conda env create -f environment.yml

Then, in any terminal session where you'd like to use this environment, start with:

source activate pycon_poets

pip setup (option 3)

If you don't use conda you can use pip or the tool of your choice to install jupyter, line_profiler, and snakeviz:

pip install jupyter line_profiler snakeviz

or use the requirements.txt file

pip install -r requirements.txt

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  • Jupyter Notebook 98.2%
  • Python 1.8%