ajelenak

# Requirements:
# HDF5 library version 1.10.5 or later
# h5py version 3.0 or later
# pip install git+https://github.com/HDFGroup/zarr-python.git@hdf5

import logging
from urllib.parse import urlparse, urlunparse
import numpy as np
import h5py
import zarr

lebedov

#!/usr/bin/env python

"""
How to interactively select part of an array displayed as an image with matplotlib.
"""

import matplotlib.pyplot as plt
from matplotlib.path import Path
from matplotlib.widgets import LassoSelector
import numpy as np

clemsos

from pyelasticsearch import ElasticSearch
import pandas as pd
from time import time

root_path="/home/clemsos/Dev/mitras/"
raw_data_path=root_path+"data/"
csv_filename="week10.csv"

t0=time()

mobilemind

# delete local tag '12345'
git tag -d 12345
# delete remote tag '12345' (eg, GitHub version too)
git push origin :refs/tags/12345
# alternative approach
git push --delete origin tagName
git tag -d tagName

eric-hu

-- Adapted from these sources:
-- http://peterdowns.com/posts/open-iterm-finder-service.html
-- https://gist.github.com/cowboy/905546
-- 
-- Modified to work with files as well, cd-ing to their container folder
on run {input, parameters}
  tell application "Finder"
		set my_file to first item of input
		set filetype to (kind of (info for my_file))
		-- Treats OS X applications as files.  To treat them as folders, integrate this SO answer:

acrosby

from rtree import index
from random import random
from datetime import datetime

timer = datetime.now()

# Create 10,000,000 random numbers between 0 and 1
rands = [random() for i in range(10000000)] 

# Function required to bulk load the random points into the index