other:python:jyp_steps
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other:python:jyp_steps [2020/03/31 15:04] jypeter [Scipy Lecture Notes] Added link to stats tuto |
other:python:jyp_steps [2020/05/06 08:53] jypeter [Graphics related resources] Added more color resources |
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| * [[https://uxknowledgebase.com/tables-other-charts-data-visualization-part-3-5bfab15ce525|Tables & Other Charts — Data Visualization Part 3]] | * [[https://uxknowledgebase.com/tables-other-charts-data-visualization-part-3-5bfab15ce525|Tables & Other Charts — Data Visualization Part 3]] | ||
| * Working with colors | * Working with colors | ||
| + | * **Do not use the outdated //rainbow// colormap!** | ||
| + | * [[http://geog.uoregon.edu/datagraphics/EOS/Light-and-Bartlein.pdf|The End of the Rainbow? Color Schemes for Improved Data Graphics]] (Light and Bartlein, EOS 2004, including replies and comments) | ||
| + | * [[http://colorspace.r-forge.r-project.org/articles/endrainbow.html|Somewhere over the Rainbow]] | ||
| * [[https://matplotlib.org/users/colormaps.html|Choosing colormaps]] | * [[https://matplotlib.org/users/colormaps.html|Choosing colormaps]] | ||
| * [[https://matplotlib.org/cmocean/|cmocean: Beautiful colormaps for oceanography]] | * [[https://matplotlib.org/cmocean/|cmocean: Beautiful colormaps for oceanography]] | ||
| * [[https://jiffyclub.github.io/palettable/|Palettable: Color palettes for Python]] | * [[https://jiffyclub.github.io/palettable/|Palettable: Color palettes for Python]] | ||
| * [[http://colorbrewer2.org|ColorBrewer 2.0]] is a tool that can help you understand, and experiment with //sequential//, //diverging// and //qualitative// colormaps | * [[http://colorbrewer2.org|ColorBrewer 2.0]] is a tool that can help you understand, and experiment with //sequential//, //diverging// and //qualitative// colormaps | ||
| + | * The [[http://hclwizard.org/|hclwizard]] provides tools for manipulating and assessing colors and palettes based on the underlying ''colorspace'' software | ||
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| This document will teach you even more things about python, numpy and matplotlib, debugging and optimizing scripts, and about using python for statistics, image processing, machine learning, washing dishes (this is just to check if you have read this page), etc... | This document will teach you even more things about python, numpy and matplotlib, debugging and optimizing scripts, and about using python for statistics, image processing, machine learning, washing dishes (this is just to check if you have read this page), etc... | ||
| - | * Example: the [[http://www.scipy-lectures.org/packages/statistics/index.html|Statistics in Python]] tutorial that combines Pandas, [[http://statsmodels.sourceforge.net/|Statsmodels]] and [[http://seaborn.pydata.org/|Seaborn]] | + | * Example: the [[http://www.scipy-lectures.org/packages/statistics/index.html|Statistics in Python]] tutorial that combines [[other:python:jyp_steps#pandas|Pandas]], [[http://statsmodels.sourceforge.net/|Statsmodels]] and [[http://seaborn.pydata.org/|Seaborn]] |
| ===== Quick Reference and cheat sheets ===== | ===== Quick Reference and cheat sheets ===== | ||
other/python/jyp_steps.txt · Last modified: 2024/03/07 10:15 by jypeter
