shcallaway

Structured logs are way better than normal logs for a whole bunch of reasons, but they can sometimes be a pain to read in the shell. Take this logline for example:

{"erlang_pid":"#PID<0.1584.0>","level":"error","message":"Got error when retry: :econnrefused, will retry after 1535ms. Have retried 2 times, :infinity times left.","module":"","release":"c2ef629cb357c136f529abec997426d6d58de485","timestamp":"2019-12-17T19:22:11.164Z"}

This format is hard for a human to parse. How about this format instead?

error | 2019-12-17T19:21:02.944Z | Got error when retry: :econnrefused, will retry after 1648ms. Have retried 2 times, :infinity times left.

ines

"""
Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you
run simple training experiments for NER and text classification.

Requires the Prodigy annotation tool to be installed: https://prodi.gy
See here for details on Streamlit: https://streamlit.io.
"""
import streamlit as st
from prodigy.components.db import connect
from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size

goyalmohit

#!/usr/bin/env python
import smtplib
from email.mime.text import MIMEText
from subprocess import check_output

# Get the git log --stat entry of the new commit
log = check_output(['git', 'log', '-1', '--stat', 'HEAD'])

# Create a plaintext email message
msg = MIMEText("Look, I'm actually doing some work:\n\n%s" % log)

hmldd

# coding:utf-8

from elasticsearch import Elasticsearch
import json

# Define config
host = "127.0.0.1"
port = 9200
timeout = 1000
index = "index"

alChaCC

Install HomeBrew first

brew update
brew tap caskroom/cask
brew install brew-cask

If you get the error "already installed", follow the instructions to unlink it, then install again:

shagunsodhani

Teaching Machines to Read and Comprehend

Introduction

• Build a supervised reading comprehension data set using news corpus.
• Compare the performance of neural models and state-of-the-art natural language processing model on reading comprehension task.
• Link to the paper

Reading Comprehension

ageitgey

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

marcanuy

# Gunicorn Site systemd service file

[Unit]
Description=Gunicorn server for SITENAME-staging.example.com
After=network.target
After=syslog.target

Environment=sitedir=/Development/sites/SITENAME-staging.example.com
ExecStart=$(sitedir)/virtualenv/bin/gunicorn --chdir $(sitedir)/source workouts.wsgi:application --bind unix:/tmp/SITENAME-staging.example.com.socket
Restart=on-failure

derhuerst

Installing zsh – the easy way

The Z shell (zsh) is a Unix shell [...]. Zsh can be thought of as an extended Bourne shell with a large number of improvements, including some features of bash, ksh, and tcsh.

– Z shell – Wikipedia

Read more about ZSH at An Introduction to the Z Shell.

Choose one of the following options.

drorata

# Initialize the scroll
page = es.search(
  index = 'yourIndex',
  doc_type = 'yourType',
  scroll = '2m',
  search_type = 'scan',
  size = 1000,
  body = {
    # Your query's body
    })