Modules

The uncompromising Python code formatter https://black.readthedocs.io/en/stable/ and on Github: https://github.com/psf/black

Basics of Jupyter notebooks (on packtpub.com)

Max Melnick's Jupyter Python Notebook Keyboard Shortcuts and Text Snippets for Beginners

Jupyter notebooks documentation

Matplotlib colormaps and how to normalise a colormap

Max Masnick's Dat science Python snippets

MatPlotLib guide

Decode URLs using Python

# py3
from urllib import parse
parse.unquote("""TheURLString""")
# or in py2.7
import urllib
urllib.unquote("theURL").decode('utf8')

Translate coordinate reference system from *.prj files to proj4-Syntax as required by QGIS using the gdal python module (via GIS on Stackexchange:

import sys
from osgeo import osr
prjtxt = """PROJCS["your_crs",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["the_prj"],PARAMETER["Central_Meridian",0.0],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Latitude_Of_Origin",0.0],PARAMETER["Standard_Parallel_1",-10],PARAMETER["Standard_Parallel_2",50],UNIT["Meter",1.0],AUTHORITY["me",123456]]"""
srs = osr.SpatialReference()
print 'Proj4 is: %s' % srs.ExportToProj4()
Proj4 is: <string with proj4 parameters follows>

Invert a single column of a Pandas Dataframe: df.col2 = df.col2.values[::-1] via StackOverflow

Joining multiple overlapping column names from multiple dataframes: pd.concat(data, axis=1) via StackOverflow

Cross-section indexing of a multi-indexed dataframe - using levels: concatdf.xs('MIndexValue', level='MIndexName') - via Pandas documentation and StackOverflow

Pandas merging 101 on StackOverflow.

Going from a regular dataframe to geopandas data frame: gdf = geopandas.GeoDataFrame(df, geometry=geopandas.points_from_xy(df.Longitude, df.Latitude)) – via Geopandas doc

Obtaining unique values for Multi-index levels: concatdf.index.unique(level=1)

Drop a level of multi-index into a column: df.reset_index(level=[…]) - via StackOverflow

Generating a column with conditional values based on an existing column via datagy.io: myDict = { 'a': 1, 'b': 2, 'c': 3}, df[newCol] = df[oldCol].map( myDict )

osgeo.ogr

Importing modules - effbot's import confusion

Installing a new module in Enthough Canopy Light's distro on Windows: I managed to install the DBF module by navigating to the unzipped content downloaded in the Python console. Then I just typed %run setup.py install and the compiled module is then installed in the Canopy's User\Lib\site-packages directory. Easy.