mihaitodor

https://archive.org/download/archiveteam_coursera_20160627114043/coursera_20160627114043.megawarc.warc.gz

• bigdata = Web Intelligence and Big Data
• clinical skills = Teaching and Assessing Clinical Skills
• comp finance = Introduction to Computational Finance and Financial Econometrics
• data sci = Introduction to Data Science
• dmathgen = 离散数学概论 Discrete Mathematics Generality
• global introuslaw = The Global Student's Introduction to U.S. Law
• global theatre = Theatre and Globalization
• global theatre = Theatre and Globalization
• inforiskman = Information Security and Risk Management in Context

boxysean

# airflow/plugins/slack.py

import logging

from airflow.operators.python_operator import PythonOperator
from airflow.plugins_manager import AirflowPlugin
from slackclient import SlackClient
from titan.utils import config

paulgambill

/**
 * Retrieves all the rows in the active spreadsheet that contain data and logs the
 * values for each row.
 * For more information on using the Spreadsheet API, see
 * https://developers.google.com/apps-script/service_spreadsheet
 */
function readRows() {
  var sheet = SpreadsheetApp.getActiveSheet();
  var rows = sheet.getDataRange();
  var numRows = rows.getNumRows();

anytizer

-- http://stackoverflow.com/questions/10628640/get-full-mysql-query-string-on-insert-or-update
-- SELECT info FROM INFORMATION_SCHEMA.PROCESSLIST WHERE id=CONNECTION_ID();

USE test;

CREATE TABLE test_entry (id INTEGER(10) NOT NULL DEFAULT 0);
CREATE TABLE `log_queries` (
  `query_id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'Query ID',
  `query_time` DATETIME NOT NULL DEFAULT '0000-00-00 00:00:00' COMMENT 'Query ran on time',
  `query_table` VARCHAR(255) NOT NULL DEFAULT '' COMMENT 'Query made on table',

hubgit

[citation_title] => 10193
[citation_journal_title] => 10171
[citation_volume] => 9878
[citation_pdf_url] => 9671
[citation_issue] => 9560
[citation_issn] => 9483
[citation_firstpage] => 9376
[citation_doi] => 9324
[robots] => 8939
[citation_abstract_html_url] => 8906

PhDP

For a project named XXX with a postgreSQL database:

0. $ sudo apt-get install libedit-dev libbsd-dev libgmp3-dev zlib1g-dev freeglut3-dev postgresql pgadmin3 libghc-persistent-postgresql-dev cabal-install
1. Install all packages for 'yesod'.
2. $ cabal update
3. $ cd XXX && cabal install && yesod devel

shlomibabluki

# coding=UTF-8
import nltk
from nltk.corpus import brown

# This is a fast and simple noun phrase extractor (based on NLTK)
# Feel free to use it, just keep a link back to this post
# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
# Create by Shlomi Babluki
# May, 2013

shlomibabluki

# coding=UTF-8
from __future__ import division
import re

# This is a naive text summarization algorithm
# Created by Shlomi Babluki
# April, 2013


class SummaryTool(object):

dfm

libchi2.so: chi2.o
	gcc -shared -Wl,-soname,libchi2.so.1 -o libchi2.so.1.0.0 chi2.o -lc

chi2.o: chi2.c
	gcc -fPIC -g -c -Wall chi2.c

ofan666

try:
   import numpypy as np    # for compatibility with numpy in pypy
except:
   import numpy as np      # if using numpy in cpython

## Tri Diagonal Matrix Algorithm(a.k.a Thomas algorithm) solver
def TDMAsolver(a, b, c, d):
    '''
    TDMA solver, a b c d can be NumPy array type or Python list type.
    refer to http://en.wikipedia.org/wiki/Tridiagonal_matrix_algorithm