create different ssh key according the article Mac Set-Up Git
$ ssh-keygen -t rsa -C "[email protected]"
create different ssh key according the article Mac Set-Up Git
$ ssh-keygen -t rsa -C "[email protected]"
# Firewall configuration written by system-config-firewall | |
# Manual customization of this file is not recommended. | |
*filter | |
:INPUT ACCEPT [0:0] | |
:FORWARD ACCEPT [0:0] | |
:OUTPUT ACCEPT [0:0] | |
-A INPUT -m state --state ESTABLISHED,RELATED -j ACCEPT | |
-A INPUT -p icmp -j ACCEPT | |
-A INPUT -i lo -j ACCEPT | |
-A INPUT -m state --state NEW -m tcp -p tcp --dport 22 -j ACCEPT |
""" | |
setup: | |
pip install requests | |
pip install requests[socks] | |
super helpful: | |
- http://packetforger.wordpress.com/2013/08/27/pythons-requests-module-with-socks-support-requesocks/ | |
- http://docs.python-requests.org/en/master/user/advanced/#proxies | |
""" |
@Media = new Meteor.Collection('media') | |
Media.allow | |
insert: (userId, doc) -> | |
return userId && (doc.user == userId) | |
update: (userId, doc, fields, modifier) -> | |
return userId == doc.user | |
remove: (userId, doc) -> |
As today’s companies strive to become more data driven, reliable analytics and data science has become an essential part of staying competitive and keeping costs under control. Because of this most mid to large companies have created their own analytics or data science teams, or roles, that focus on producing, maintaining and scoring models. These models are essentially pieces of code that use raw data to produce insights or strategies that other teams and management rely on. Because most analytics and data scientist teams create and tune these models by hand, this work is more of a R&D field rather than a bookkeeping one. For this reason, like most R&D products, the models need to be made ready to be run in a stable, reliable and auditable fashion as fast as possible.
Model factory is a framework that helps analytics and data science teams go from a development model to a stable, reliable and auditable production model faster and with less guess work. A model factory is not one so
I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6
apt-get update && apt-get install gdb
Complete the React Basics course on Team Treehouse, or the equivelant on CodeSchool, PluralSight, etc.
Read Thinking in React and quickly review the React docs.
Watch Thinking in React follow along carefully and if time permits build the project along side watching.
Install Synthwave ’84/Synthwave + Fluoromachine theme on VS Code (I used the Fluoromachine one)
Install Custom CSS and JS Loader
Command + Shift + P to open command palette > "Preferences: Open settings (JSON)"