devStepsize

'''
This is an example of the server-side logic to handle slash commands in
Python with Flask.
Detailed documentation of Slack slash commands:
https://api.slack.com/slash-commands
Slash commands style guide:
https://medium.com/slack-developer-blog/slash-commands-style-guide-4e91272aa43a#.6zmti394c

'''

rnirmal

datasetName,about,link,categoryName,cloud,vintage
Microbiome Project,American Gut (Microbiome Project),https://github.com/biocore/American-Gut,Biology,GitHub,NA
GloBI,Global Biotic Interactions (GloBI),https://github.com/jhpoelen/eol-globi-data/wiki#accessing-species-interaction-data,Biology,GitHub,NA
Global Climate,Global Climate Data Since 1929,http://en.tutiempo.net/climate,Climate/Weather,,1929
CommonCraw 2012,3.5B Web Pages from CommonCraw 2012,http://www.bigdatanews.com/profiles/blogs/big-data-set-3-5-billion-web-pages-made-available-for-all-of-us,Computer Networks,,2012
Indiana Webclicks,53.5B Web clicks of 100K users in Indiana Univ.,http://cnets.indiana.edu/groups/nan/webtraffic/click-dataset/,Computer Networks,,NA
Criteo click-through,Criteo click-through data,http://labs.criteo.com/2015/03/criteo-releases-its-new-dataset/,Computer Networks,,NA
ICWSM 2009,ICWSM Data Challenge (since 2009),http://icwsm.cs.umbc.edu/,Data Challenges,,2009
KDD Cup,KDD Cup by Tencent 2012,http://www.kddcup2012.org/,Data 

tanaikech

Uploading Image Files to Slack Using Incoming Webhooks by Google Apps Script

This sample script is for uploading image files to Slack using Incoming Webhooks by Google Apps Script.

When users try to upload image files to Slack using Incoming Webhooks, it has been known that although the access token is required to directly upload them, Incoming Webhooks can upload them by using the tag of image_url. In this sample script, it uploads image files (BMP, GIF, JPEG and PNG) on Google Drive to Slack using Incoming Webhooks. The script is written by Google Apps Script.

In this sample, It supposes that there are image files on Google Drive.

Script :

gajeshbhat

def convert_str_to_number(x):
    total_stars = 0
    num_map = {'K':1000, 'M':1000000, 'B':1000000000}
    if x.isdigit():
        total_stars = int(x)
    else:
        if len(x) > 1:
            total_stars = float(x[:-1]) * num_map.get(x[-1].upper(), 1)
    return int(total_stars)

wiso

import numpy as np

def correlation_from_covariance(covariance):
    v = np.sqrt(np.diag(covariance))
    outer_v = np.outer(v, v)
    correlation = covariance / outer_v
    correlation[covariance == 0] = 0
    return correlation

endolith

"""
Train a neural network to implement the discrete Fourier transform
"""
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import numpy as np
import matplotlib.pyplot as plt

N = 32
batch = 10000

abhishekkrthakur

import os
import requests
import json

SLACK_WEBHOOK= os.environ.get("SLACK_WEBHOOK")


def send_message(messages, channel="abhishek", username="beast"):
    """
    :param messages: list of texts