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@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active July 26, 2024 12:21
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@minrk
minrk / Retina Figures.ipynb
Created August 9, 2012 04:37
2x plots for Retina displays with matplotlib and the IPython Notebook
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@even4void
even4void / .emacs
Last active September 6, 2018 15:26
A basic previewer for R Markdown files edited with Emacs
(add-to-list 'auto-mode-alist '("\\.md\\'" . markdown-mode))
(add-to-list 'auto-mode-alist '("\\.Rmd\\'" . markdown-mode))
(add-to-list 'auto-mode-alist '("\\.rmd\\'" . markdown-mode))
(add-hook 'markdown-mode-hook 'turn-on-outline-minor-mode)
(defun rmarkdown-new-chunk (name)
"Insert a new R chunk."
(interactive "sChunk name: ")
(insert "\n```{r " name "}\n")
(save-excursion
@somebox
somebox / osx-setup.sh
Last active December 11, 2021 13:05 — forked from foz/osx-setup.sh.md
Set up an OSX machine from zero to awesome. Uses Homebrew (and cask, fonts, etc). Focused on Ruby/Rails development, includes rvm, xquartz, editor fonts, sublime text, and many tools.
#!/bin/bash
# A script to set up a new mac. Uses bash, homebrew, etc.
# Focused for ruby/rails development. Includes many utilities and apps:
# - homebrew, rvm, node
# - quicklook plugins, terminal fonts
# - browsers: chrome, firefox
# - dev: iterm2, sublime text, postgres, chrome devtools, etc.
# - team: slack, dropbox, google drive, skype, etc
@Mistobaan
Mistobaan / tensorflow_cuda_osx.md
Last active July 25, 2023 18:54
How to enable cuda support for tensor flow on Mac OS X (Updated on April:2016 Tensorflow 0.8)

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

This is unmaintained, please visit Ben-PH/spacemacs-cheatsheet

Useful Spacemacs commands

  • SPC q q - quit
  • SPC w / - split window vertically
  • SPC w - - split window horizontally
  • SPC 1 - switch to window 1
  • SPC 2 - switch to window 2
  • SPC w c - delete current window

Build tensorflow on OSX with NVIDIA CUDA support (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer

@conormm
conormm / r-to-python-data-wrangling-basics.md
Last active July 23, 2024 17:45
R to Python: Data wrangling with dplyr and pandas

R to python data wrangling snippets

The dplyr package in R makes data wrangling significantly easier. The beauty of dplyr is that, by design, the options available are limited. Specifically, a set of key verbs form the core of the package. Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe. Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R. The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).

dplyr is organised around six key verbs:

@JPenuchot
JPenuchot / .zshrc
Last active July 8, 2021 04:39
~/.config/i3/config for my Dell XPS 13 HiDPI running on Solus
# If you come from bash you might have to change your $PATH.
export PATH=$HOME/bin:/usr/local/bin:/home/jpenuchot/node_modules/.bin:$HOME/.cargo/bin:$PATH
# Path to your oh-my-zsh installation.
export ZSH=$HOME/.oh-my-zsh
# Set name of the theme to load. Optionally, if you set this to "random"
# it'll load a random theme each time that oh-my-zsh is loaded.
# See https://github.com/robbyrussell/oh-my-zsh/wiki/Themes
ZSH_THEME="robbyrussell"
@oscarperpinan
oscarperpinan / code_without_ggplot2.R
Last active December 20, 2019 10:43
beautiful-thematic-maps: alternative code without using ggplot2
## https://timogrossenbacher.ch/2016/12/beautiful-thematic-maps-with-ggplot2-only/
library(raster)
library(sp)
library(rgdal)
library(viridisLite)
library(rasterVis)
## Read age data
data <- read.csv("input/avg_age_15.csv", stringsAsFactors = F)
## Read shapefile