- homebrew
- micromamba
- Chrome # manual install because brew version doesn't work with 1Password
- File-up
Set a host file.
Set a host file.
| {- Seth Brown | |
| 2014-12-13 | |
| GHC 7.8.3 | |
| sethbrown AT drbunsen DOT ORG | |
| Copyright 2014 Seth Brown. All rights reserved. | |
| data from: http://www.beeradvocate.com/lists/top/ | |
| $ runghc ba-top-breweries.hs < data.txt | |
| ====================================== | |
| Hill Farmstead Brewery,24 |
| # first: | |
| lsbom -f -l -s -pf /var/db/receipts/org.nodejs.pkg.bom | while read f; do sudo rm /usr/local/${f}; done | |
| sudo rm -rf /usr/local/lib/node /usr/local/lib/node_modules /var/db/receipts/org.nodejs.* | |
| # To recap, the best way (I've found) to completely uninstall node + npm is to do the following: | |
| # go to /usr/local/lib and delete any node and node_modules | |
| cd /usr/local/lib | |
| sudo rm -rf node* |
| You appear to be advocating a new: | |
| [ ] cloud-hosted [ ] locally installable [ ] web-based [ ] browser-based [ ] language-agnostic | |
| [ ] language-specific IDE. Your IDE will not succeed. Here is why it will not succeed. | |
| You appear to believe that: | |
| [ ] Syntax highlighting is what makes programming difficult | |
| [ ] Garbage collection is free | |
| [ ] Computers have infinite memory | |
| [ ] Nobody really needs: |
These are my notes basically. At first i created this gist just as a reminder for myself. But feel free to use this for your project as a starting point. If you have questions you can find me on twitter @thomasf https://twitter.com/thomasf This is how i used it on a Debian Wheezy testing (https://www.debian.org/releases/testing/)
Discuss, ask questions, etc. here https://news.ycombinator.com/item?id=7445545
| # standard library | |
| import sys | |
| import random | |
| import time | |
| # need to pip install selenium | |
| from selenium import webdriver | |
| from selenium.webdriver.common.keys import Keys | |
| from selenium.common.exceptions import NoSuchElementException |
| # Regression models | |
| lm(y ~ x, data=df) | |
| glm(y ~ x, data=df, family=binomial(link="logit")) | |
| glm(y ~ x, data=df, family=binomial(link="probit")) | |
| glm(y ~ x, data=df, family=poisson(link="log")) | |
| library(MASS) | |
| glm.nb(y ~ x, data=df) |