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@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active November 17, 2024 01:28
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@nicolashery
nicolashery / pandas-heroku.md
Created September 8, 2012 22:35
Deploy Python app using Pandas on Heroku

Deploy Python app using Pandas on Heroku

2012-09-08

This document explains how to deploy a Python app that uses the Pandas library on Heroku.

Heroku builds Numpy (one of Pandas' requirements) fine. However, when trying to deploy an app with both numpy and pandas in its requirements.txt file (or even just pandas), for some reason it fails

anonymous
anonymous / markdown-folding.vim
Created November 26, 2012 18:41
A simple demo of how a foldexpr works in Vim. See http://vimcasts.org/e/28 for full explanation.
function! MarkdownFolds()
let thisline = getline(v:lnum)
if match(thisline, '^##') >= 0
return ">2"
elseif match(thisline, '^#') >= 0
return ">1"
else
return "="
endif
endfunction
{-# LANGUAGE DeriveFunctor #-}
{-# LANGUAGE DeriveFoldable #-}
-- uses packages: comonad-transformers,streams,MonadRandom
import Prelude hiding (iterate,tail,repeat,sequence,take,zip,unzip)
import Data.Stream.Infinite (Stream ((:>)),iterate,tail,repeat,take,zip,unzip,unfold)
import Data.Foldable
import Data.Traversable (Traversable(..), sequence)
import Control.Applicative
@quchen
quchen / trolling_haskell
Last active November 12, 2024 00:10
Trolling #haskell
13:15 <xQuasar> | HASKELL IS FOR FUCKIN FAGGOTS. YOU'RE ALL A BUNCH OF
| FUCKIN PUSSIES
13:15 <xQuasar> | JAVASCRIPT FOR LIFE FAGS
13:16 <luite> | hello
13:16 <ChongLi> | somebody has a mental illness!
13:16 <merijn> | Wow...I suddenly see the error of my ways and feel
| compelled to write Node.js!
13:16 <genisage> | hi
13:16 <luite> | you might be pleased to learn that you can compile
| haskell to javascript now
@audreyfeldroy
audreyfeldroy / pypi-release-checklist.md
Last active February 23, 2023 15:03
My PyPI Release Checklist
  • Update HISTORY.md
  • Commit the changes:
git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."
  • Update version number (can also be minor or major)
bumpversion patch
@0xabad1dea
0xabad1dea / severscam.md
Last active July 12, 2021 01:32
Sever Scam

The Scammiest Scam To Yet Anonymity Scam

I'm still holding out for this being a hoax, a big joke, and that they're going to cancel the kickstarter any minute. It'd be quite the cute "lessons learned" about anonymity scams. However, I will be treating it from here on out as a genuine scam. (As of May 2nd, the kickstarter has been cancelled, after the strangest attempt to reply to this imaginable. Good riddance.)

This absolutely ridiculous thing was brought to my attention by a friend and since it was late at night I thought I must be delirious in how absurdly over the top fake it seemed. So I slept on it, woke up, and found that it had gotten a thousand dollars more funding and was every bit as flabbergasting as I thought it was.

Since I realize that not everyone has spent their entire lives studying computers – and such people are the targets of such scams –

@ossanna16
ossanna16 / Beginner-friendly Python Open Source Projects
Last active October 25, 2024 09:57
This is a list of beginner-friendly Python open source projects. I'm always looking for new projects to add to my list, if you have an idea please tweet me at @ossanna16 :)
* OpenHatch - https://openhatch.org/search/?q=&language=Python
* PyLadies - https://github.com/pyladies
* New Coder - https://github.com/econchick/new-coder
* Django Girls - https://github.com/DjangoGirls
* Matplotlib - https://github.com/matplotlib/matplotlib
* Hylang - http://docs.hylang.org/en/latest/, https://github.com/hylang/hy
* Open Slides (Django) - http://openslides.org/
* Zeeguu - https://zeeguu.unibe.ch
* Project Jupyter - https://github.com/jupyter
* nbgrader - https://github.com/jupyter/nbgrader
@5agado
5agado / Pandas and Seaborn.ipynb
Created February 20, 2017 13:33
Data Manipulation and Visualization with Pandas and Seaborn — A Practical Introduction
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