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Django-NextJs
A simple contact list made with Django and NextJsdjango-email-celery
Aplicação de cadastro usando tasks Celery+ Broker Redis, montado em estrutura dockerFake99-Simulator
Fake99-Frontend
Django-Elasticsearch-Exemplo-
Aplicação desenvolvida com Django utilizando Elasticsearch como framework de busca.BBCLI
A CLI application to automate Bitbucket processdokku_openvpn
Post Deploy para configuração de OpenVPN em containers Docker no Dokku | Post Deploy for configuration in Docker containers on Dokku ServerMachineLearn-WineClassifier
A wine classifier using Binary Tree Search, after read a csv with all information about the types of wines, is made a transformation of all data with pandas, after classification process we can get results about the type of wine by values passed inside process.Go-Web
Coordinates-Marker
Graficos-e-Dashboards
Desenvolvidos em Python + Plotly + Dash, sendo base de dados a leitura de APIs e arquivos csv.Fake99-NestApi
SecDash-Frontend
Python-Tricks
Go-Tricks
A BIG library to show some tricks about Golang, as soon as possible.Django-ORM-APIS-Benchmark
Fake-Instagram-FeedPost
A fake instagram page made with React Native, i've used a Flask backend to simulates a real iteration between backend and mobile services. This repository belongs to mobile implementation.React-Native-Simple-Contact-List
Uma pequena aplicação para implementar algumas idéias com React Nativejohnatasr
Clean-Architecture
Machine-Learning-Movie-Classifier
Classificador de notas de um filme, com base em registros da Amazon, IMBD e Yelp. Foi empregado modelo de Naive Bayes para gerar os valores positivos e negativos nas frases, além de gerar a porcentagem de precisão do processo.GO-SOLID
E-book-Nice
Developed with ReactJs + Express Server, it`s a project made covering a course about the commom react tips.AI-Cars
A project developed by NeuralNine with some modifications made by me. This project only to education prouposesFake-Instagram-FeedPost-FlaskAPI
This Flask backend belongs as part of https://github.com/johnatasr/Fake-Instagram-FeedPost mobile project. In backend I've used a Flask Restful and unit tests with Pytest to create a simple CI/CD process with Travis CI, Github and Heroku.ClientLocator
Call-Center-Automatizado
Call Center Automatizado usando NodeJs, React, WebSocket, Webhooks e uma URA da TotalVoiceLove Open Source and this site? Check out how you can help us