fagan2888 Goto Github PK

gomaxcompute

A Go driver for MaxCompute.

goodbooks-10k

Ten thousand books, six million ratings

google-analytics

google-auth-library-python

Google Auth Python Library

google-auth-library-python-oauthlib

google-calendar-to-sms

Project for pulling event dates from a google calendar and then sending out their contents as SMS

google-cloud-apis

I share my codes working with GCloud APIs here.

google-cloud-python

Google Cloud Client Library for Python

google-cse-python-wrapper

A simple Python wrapper for Google's API to their Custom Search Engine product.

google-drive-downloader

Minimal class to download shared files from Google Drive.

google-for-matlab

Access Google from MATLAB Command Window

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

google-login

google-maps-services-python

Python client library for Google Maps API Web Services

google-ngram-downloader

google-research

Google Research

google-search-api

Python based api for searching google web, images, calc, and currency conversion.

google_analytics_plugin

google_api

geocoding, distance matrix, popular_places

google_finance_parser

Parses Google Finance Webpages

google_trend

google_trends_consumption_prediction

This paper investigates the forecasting relationship between a Google Trends indicator and real private consumption expenditure in the US. The indicator is constructed by applying Kernel Principal Component Analysis to consumption-related Google Trends search categories. The predictive performance of the indicator is evaluated in relation to two conventional survey-based indicators: the Conference Board Consumer Confidence Index and the University of Michigan Consumer Sentiment Index. The findings suggest that in both in-sample and out-of-sample nowcasting estimations the Google indicator performs better than survey-based predictors. The results also demonstrate that the predictive performance of survey-augmented models is no different than the power of a baseline autoregressive model that includes macroeconomic variables as controls. The results demonstrate an enormous potential of Google Trends data as a tool of unmatched value to forecasters of private consumption.

googleads-dfa-reporting-samples

Samples for the DoubleClick for Advertisers Reporting and Trafficking API

googleapis

Public interface definitions of Google APIs.

googlefinance.get

Get the google finance data convert to DataFrame in python 3

googleinterview

googlescraper

This is a copy of https://github.com/NikolaiT/GoogleScraper

googlesearchcrawler

a tool for crawl Google search results

googletransitdatafeed

my mirror of the python 'transitfeed' package

googletranslate

Python Google Translate (using reverse-engineered public API, so free)