@@ -24,17 +24,17 @@ From [Claus O. Wilke: "Fundamentals of Data Visualization"](https://clauswilke.c
2424> (which should also be automated), and they should come out of the pipeline
2525> ready to be sent to the printer, no manual post-processing needed.*
2626
27- - ** No manual post-processing** . This will bite you when you need to regenerate 50
27+ - ** Try to minimize manual post-processing** . This could bite you when you need to regenerate 50
2828 figures one day before submission deadline or regenerate a set of figures
2929 after the person who created them left the group.
3030- There is not the one perfect language and ** not the one perfect library** for everything.
3131- Within Python, many libraries exist:
32- - [ Matplotlib] ( https://matplotlib.org/gallery/index.html ) :
32+ - [ Vega-Altair] ( https://altair-viz.github.io/gallery/index.html ) :
33+ declarative visualization, statistics built in
34+ - [ Matplotlib] ( https://matplotlib.org/stable/gallery/index.html ) :
3335 probably the most standard and most widely used
3436 - [ Seaborn] ( https://seaborn.pydata.org/examples/index.html ) :
3537 high-level interface to Matplotlib, statistical functions built in
36- - [ Altair] ( https://altair-viz.github.io/gallery/index.html ) :
37- declarative visualization (R users will be more at home), statistics built in
3838 - [ Plotly] ( https://plotly.com/python/ ) :
3939 interactive graphs
4040 - [ Bokeh] ( https://demo.bokeh.org/ ) :
@@ -45,11 +45,10 @@ From [Claus O. Wilke: "Fundamentals of Data Visualization"](https://clauswilke.c
4545 R users will be more at home
4646 - [ PyNGL] ( https://www.pyngl.ucar.edu/Examples/gallery.shtml ) :
4747 used in the weather forecast community
48- - [ K3D] ( https://k3d-jupyter.org/gallery/ ) :
49- Jupyter notebook extension for 3D visualization
48+ - [ K3D] ( https://k3d-jupyter.org/gallery/index.html ) :
49+ Jupyter Notebook extension for 3D visualization
5050 - ...
51- - Two main families of libraries: procedural (e.g. Matplotlib) and declarative
52- (using grammar of graphics).
51+ - Two main families of libraries: procedural (e.g. Matplotlib) and declarative.
5352
5453
5554## Why are we starting with Matplotlib?
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