gitflow | git |
---|---|
git flow init |
git init |
git commit --allow-empty -m "Initial commit" |
|
git checkout -b develop master |
#!/bin/bash | |
# Sometimes you need to move your existing git repository | |
# to a new remote repository (/new remote origin). | |
# Here are a simple and quick steps that does exactly this. | |
# | |
# Let's assume we call "old repo" the repository you wish | |
# to move, and "new repo" the one you wish to move to. | |
# | |
### Step 1. Make sure you have a local copy of all "old repo" | |
### branches and tags. |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
Picking the right architecture = Picking the right battles + Managing trade-offs
- Clarify and agree on the scope of the system
- User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?
Version: 0.0.1 updated 7/1/2016
Cordova Plugins are the magic that enable our mobile web app content to access the full power of Native SDKs underneath, but through clean JavaScript APIs that work the same across all platforms we target.
Building Cordova plugins is scary for many Cordova and Ionic developers, but it doesn't have to be. This simple guide walks through the what, when, why, and how of Cordova plugin development for iOS and Android.
import numpy as np | |
import multiprocessing as multi | |
def chunks(n, page_list): | |
"""Splits the list into n chunks""" | |
return np.array_split(page_list,n) | |
cpus = multi.cpu_count() | |
workers = [] | |
page_list = ['www.website.com/page1.html', 'www.website.com/page2.html' |
By Emily Gill and Amber Rivera
The Pipeline
constructor from sklearn allows you to chain transformers and estimators together into a sequence that functions as one cohesive unit. For example, if your model involves feature selection, standardization, and then regression, those three steps, each as it's own class, could be encapsulated together via Pipeline
.