samuelcolvin

Python People

(Updated 2022-11-16 with suggestions from comments below, Twitter and Mastodon)

An incomplete list of people in the Python community to follow on Twitter and Mastodon.

With the risk that Twitter dies, I'd be sad to lose links to interesting people in the community, hence this list.

I would love you to comment below with links to people I've missed.

kepano

javascript: Promise.all([import('https://unpkg.com/turndown@6.0.0?module'), import('https://unpkg.com/@tehshrike/readability@0.2.0'), ]).then(async ([{
    default: Turndown
}, {
    default: Readability
}]) => {

  /* Optional vault name */
  const vault = "";

  /* Optional folder name such as "Clippings/" */

eggbean

#!/bin/bash

## Change following to '0' for output to be like ls and '1' for eza features
# Don't list implied . and .. by default with -a
dot=0
# Show human readable file sizes by default
hru=1
# Show file sizes in decimal (1KB=1000 bytes) as opposed to binary units (1KiB=1024 bytes)
meb=0
# Don't show group column

jfeist

#!/bin/sh
jq -r 'def banner: "\(.) " + (28-(.|length))*"-";
("Non-cell info" | banner), del(.cells), "",
(.cells[] |  ("\(.cell_type) cell" | banner),
	     "\(.source|add)",
	     if ($show_output == "1") then
                 "",
		 ( select(.cell_type=="code" and (.outputs|length)>0) |
		   ("output" | banner),
		   (.outputs[] |

takluyver

Copy nbflatten.py to somewhere on $PATH. Then, in the root of a git repository, run these commands:

echo "*.ipynb diff=ipynb" >> .gitattributes 
git config diff.ipynb.textconv nbflatten.py

When you change a notebook and run git diff, you'll see the diff of flattened, simplified notebooks, rather than the full JSON. This does lose some information (metadata, non-text output), but it makes it easier to see simple changes in the notebook.

This doesn't help with merging conflicting changes in notebooks. For that, see nbdiff.org.

mwhite

The Ultimate Git Alias Setup

If you use git on the command-line, you'll eventually find yourself wanting aliases for your most commonly-used commands. It's incredibly useful to be able to explore your repos with only a few keystrokes that eventually get hardcoded into muscle memory.

Some people don't add aliases because they don't want to have to adjust to not having them on a remote server. Personally, I find that having aliases doesn't mean I that forget the underlying commands, and aliases provide such a massive improvement to my workflow that it would be crazy not to have them.

The simplest way to add an alias for a specific git command is to use a standard bash alias.

# .bashrc

jeromyanglim

`r opts_chunk$set(cache=TRUE)`

This is a quick set of analyses of the California Test Score dataset.  The post was produced using R Markdown in RStudio 0.96.  The main purpose of this post is to provide a case study of using R Markdown to prepare a quick reproducible report.  It provides examples of using plots, output, in-line R code, and markdown. The post is designed to be read along side the R Markdown source code, which is available as a gist on github. 

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### Preliminaries
* This post builds on my earlier post which provided a guide for [Getting Started with R Markdown, knitr, and RStudio 0.96](jeromyanglim.blogspot.com/2012/05/getting-started-with-r-markdown-knitr.html)
* The dataset analysed comes from the `AER` package which is an accompaniment to the book [Applied Econometrics with R](http://www.amazon.com/Applied-Econometrics-R-Use/dp/0387773169) written by [Christian Kleiber](http://wwz.unibas.ch/personen/profil/person/kleiber/) and [Achim Zeileis](http://eeecon.uibk.ac.at/~zeileis/