SebastianoF

# About 10 seconds
df_commuter = pd.read_csv("https://github.com/uber-web/kepler.gl-data/raw/master/ukcommute/data.csv")
df_commuter.head()

SebastianoF

import contextily as cx
import geopandas as gpd
import matplotlib.pyplot as plt
import numpy as np
import osmnx
import pandas as pd

from keplergl import KeplerGl
from shapely.geometry import shape

SebastianoF

# requirements.txt
geopandas==0.10.2
jupyter==1.0.0
keplergl==0.3.2
matplotlib==3.5.1
osmnx==1.1.2
pandas==1.4.2
seaborn==0.11.2

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conda create -n geods python=3.9
conda activate geods

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import os
import subprocess


'''
    Counts the words in the manually selected latex files in the list list_file
    
    Commands to obtain the number of words in a .tex file:
    'detex my_file.tex | wc -w'
    where my_file.tex is one of the string in the list list_files

SebastianoF

For future reference after the discussion https://codereview.stackexchange.com/questions/201725/disjoint-cycles-of-a-permutation

How to go from Cauchy notation to cyclic notation of a permutation with python

After insights from @Accumulation (working but with extra loop and with no inverse) and @Martin R (not working but with cool insight and inverse), here is what I have got: (it seems to work, but is far from the pythonic-elegance suggested by Martin R).

def permutation_from_cauchy_to_disjoints_cycles(cauchy_perm):

SebastianoF

# setup.py must be there
# create the latest version
python setup.py bdist_wheel
# upload to pypi
twine upload dist/<your_code_name>_<your_version>.whl -r pypi