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Data vis tool for python excerpt: Some conconsion of recently leart on python data vis

Data Visualizing with Python

These what I learn by evaluate the tools in jupyter notebook/lab

matplotlib

  • Ready to use when imported
  • Minimum setup needs to be done for picture size

seaborn

  • Will be activated after import.
  • No special syntax needed as it is just a set of beautiful themes for matplotlib.

plotly

The plotly Python library (plotly.py) is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.

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XEmacs 21.5 beta 35 "kohlrabi" has been released.

If you are an old XEmacs user, you may feel happy to see this from https://www.xemacs.org/.    After ten years, XEmacs released a new version 21.5. So there's still many people cares about XEmacs. The XEmacs' source repo have been moved from altassian Bitbucket to https://heptapod.net/. As Bitbucket have been dropped Mercurial support many years ago.

Fido-mode

Today, I've just discovered the Fido mode, a modified `icomplete` minor mode. `icomplete` used to be one of my favorite mode days back to my XEmacs days. Pros: It is way fast. It is much more smart in terms of find the complete candidate that you want mostly.  Cons: It does not integrate well enough with tramp yet.    `fido-mode` is a core package of Emacs 27+, and there's a vertical version available after Emacs 28+ named `fido-vertical-mode`. UPDATE: I am back with ido now