adankro Goto Github PK

a1-introduccion-a-bases-de-datos

active-learning-detect

Active learning + object detection

adankro.github.io

Portafolio Web

airflow

Apache Airflow

analytics_base

Mi Ejemplo de proyecto del modulo Fundamentos python para Data Analysis

b1-programacion-con-python-para-data-analysis

b2-programacion-con-python

Curso de Python

behavior3js

Moved to behavior3 organization!

checkpoint_bedu_example

community

Kubernetes community content

convergdb

DevOps for Data

cpython

The Python programming language

curso_python

Material para curso Fundamentos Python

dagd022019

Codigos de estudiantes y ejemplos de la clase fundamentos de python para DA

devops-python-tools

75+ DevOps CLI Tools - Hadoop, Spark, HBase, Log Anonymizer, Ambari Blueprints, AWS CloudFormation, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Elasticsearch, Solr, Travis CI, Pig, IPython - Python / Jython Tools-

django-plotly-dash

Expose plotly dash apps as django tags

django-react-template

Django & React Template For Building Web Applications

e02-react

some react components comments and approval dialogs

ejemplo_clase

ejemplo_clase

eralchemy

Entity Relation Diagrams generation tool

flask_crud_example

example about CRUD witih flask and sqlalchemy

google-calendar-client

Pure-frontend client for Google Calendar with customisable calendars.

invoicing-system

example of API creation using pyramid web framework and cornice

kubernetes

Production-Grade Container Scheduling and Management

learn-horse-race

Learn horse race Game

least_common_multiple

libra

Libra’s mission is to enable a simple global currency and financial infrastructure that empowers billions of people.

markdowncheatsheet

:notebook: This is a handy chrome extension for markdown markup

mood-sensing-app

A back-end implementation for facial emotion sensing using AWS Rekognition REST API. This project is based on Django REST framework and has three main functions: 1) Upload a mood capture for a given user and location (POST request to http://localhost/api/Mood/ you must include your user credentials, Latitud, Longitud, Photo (imageFLocalFile) it will be record the timestap and consume AWS Rekognition service to determine your facial emotion) 2) Return the mood frequency distribution for a given user (GET request to http://localhost/api/Mood/ with your user credentials to verify your mood stats. Also you can use http://localhost/user/stats/?userid= to know other user stats for which you need admin access.) 3) Return the proximity to locations (home, office, shopping center,…) where a given user is happy. (Using the http://localhost/happyplaces/?userid= GET request)

node-red

A visual tool for wiring the Internet of Things