oanhnn

Problem

I have two Github accounts: oanhnn (personal) and superman (for work). I want to use both accounts on same computer (without typing password everytime, when doing git push or pull).

Solution

Use ssh keys and define host aliases in ssh config file (each alias for an account).

How to?

1. Generate ssh key pairs for accounts and add them to GitHub accounts.

brizandrew

Using Node.js With Django

When writing django apps it's easy to ignore the organization of your front end code. Often, these backend coders will just write a static js and css file, stick it in the static directory, and call it a day.

You can also build them as two completely independent parts. With a complex gulp build routine independent of the django app. But if you don't know gulp, node, or those kinds of systems it can be a daunting process to get started with.

Enter django-compressor-toolkit (the name doesn't quite roll off the tongue).

Setting Up Django-Compressor-Toolkit

Using django-compressor and django-compressor-toolkit you can write Javascript ES6 code with all its fancy import/export logic or style your pages with sass instead of css, and leave your deploy routine largely untouched.

juliasilge

Install native ARM R: https://cloud.r-project.org/

Install RStudio (probably preview) which is not native as of today: https://www.rstudio.com/products/rstudio/download/preview/

This blog post is helpful for getting Tensorflow working, but it is older, before the ARM version of R and the RStudio version that supports it was available.

This other blog post has specific steps outlined, but some of it has also been superseded.

dyerrington

##
# Create a figure space matrix consisting of 3 columns and 2 rows
#
# Here is a useful template to use for working with subplots.
#
##################################################################
fig, ax = plt.subplots(figsize=(10,5), ncols=3, nrows=2)

left   =  0.125  # the left side of the subplots of the figure
right  =  0.9    # the right side of the subplots of the figure

bgweber

import featuretools as ft
from pyspark.sql.functions import pandas_udf, PandasUDFType

@pandas_udf(schema, PandasUDFType.GROUPED_MAP)
def apply_feature_generation(pandasInputDF):
    
    # create Entity Set representation 
    es = ft.EntitySet(id="events")
    es = es.entity_from_dataframe(entity_id="events", dataframe=pandasInputDF)
    es = es.normalize_entity(base_entity_id="events", new_entity_id="users", index="user_id")

meiamsome

/* Hacker News Search Script
 *
 * Original Script by Kristopolous:
 * https://gist.github.com/kristopolous/19260ae54967c2219da8
 *
 * Usage:
 * First, copy the script into your browser's console whilst on the Hacker News
 * jobs page. Then, you can use the query function to filter the results.
 *
 * For example,

ines

# coding: utf8
from __future__ import unicode_literals

from spacy.lang.en import English
from spacy.tokens import Token

# Example of using spaCy v2.0's custom attribute extensions to get and set
# character spans of a token text as token attributes.
# Discussion: https://twitter.com/DavidWell/status/920245066404450304

dyerrington

RecData

To use this snippet, install faker:

pip install faker

dyerrington

Parse Jupyter

This is a basic class that makes it convenient to parse notebooks. I built a larger version of this that was used for clustering documents to create symantic indeices that linked related content together for a personal project. You can use this to parse notebooks for doing things like NLP or preprocessing.

Usage

parser = ParseJupyter("./Untitled.ipynb")
parser.get_cells(source_only = True, source_as_string = True)

marcelcaraciolo

import datetime
import sys
import random


def _rank_dists(ranks1, ranks2):
    """Finds the difference between the values in ranks1 and ranks2 for keys
    present in both dicts. If the arguments are not dicts, they are converted
    from (key, rank) sequences.
    """