Name: Caio Menezes Casado
Type: User
Company: Via
Bio: Digital Product Strategy & Geotechnology (Mobility, Webservices, API, Traffic, SaaS, PaaS, SMB, e-Commerce, Ads) Expert in negociation, relationship, maps, GIS
Location: São Paulo, SP
Blog: www.via.com.br
Caio Menezes Casado's Projects
4sweep is a power tool for Foursquare Superusers
ADD - Alert Driven Development
emulates philips hue api to other home automation gateways
MappedIn Android SDK Releases and Samples
Library that contains the same functionality as Google Translate, it allows you to translate text and speak several languages.
Parser para os dados abertos da Agência Nacional do Petróleo
Quick access to AppsFlyer's public & open source repos
AppsFlyer Unity Plugin (iOS)
This repository holds the content submitted to https://cloud.google.com/community. Files added to the tutorials/ will appear at https://cloud.google.com/community/tutorials.
data selfie app with face expression analysis
A collection of tips and tricks for data visualization in Python.
The Definitive Guide to Elasticsearch
Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.
Uma Aplicação de Exemplo da Apontador API
Facebook SDK for Android
Foursquare native authentication makes it easier for your app's users to connect with Foursquare. Unlike web-based OAuth, native authentication re-uses the Foursquare app's user credentials, saving users the hassle of re-logging in to Foursquare within your app.
framework agnostic wrapper for foursquare's APIs
URL routing framework for iOS
Remote API for getting the country code of a ip address, currently only works for wordpress.
It's repository was created to register all exercises indicated by course GEOG 485
RADIUS server that authenticates against a Google Apps domain.
Go client library for Google Maps API Web Services
Python client library for Google Maps API Web Services
Google Play Unofficial Python API - This project was a PoC and is not maintained anymore. Please feel free to fork it and improve it in any way.
Introduction to Machine Learning using Text Classification