Mihail Butnaru's repositories
CRYPTO-API
Crypto Rest API, an API that is used to retrieve the sentiment analysis of the crypto currencies from tweets
MortgageLen
MortgageLen API: a Restful API which allows you to calculate how much you could borrow and what kind of deposit you need for a mortage.
AWSCognitoManagement-API
A RESTful API that allows you to manage the users, app clients and the scopes in AWS Cognito without interacting with AWS UI
cryptprice
CryptPrice App [Bot] allows you to see the current price of different crypto currencies on your slack channel
Gym-Management-API
A RESTful API that allows you to manage GYM customers, employees, equipment: data is stored in MongoDB
MongoIngestorS3
Library that allows you to ingest data from mongo database into an s3 bucket.
EventRunner-TicketMasterAPI
Job Runner that allows you to get the events from ticketmaster and store it in the postgres database
InvestigationML
Investigation in to Sentiment Analysis and Machine Learning to Develop a Food Recommendation Mobile Application
python-patterns
A collection of design patterns/idioms in Python
Inistock-API
This is a Portfolio management API that allows you to create your profile and add all your investments together in one place.
DentistAPI
Restful API Dentist service, an open source api that could be used by every one, business or individual.
flask-restplus-mongo
Real-life RESTful server example on Flask-RESTplus
GeoLocationAPI
A fully structured Geolocation Rest API, very simple to be used for studied purposes
jupyter-mortgage
A mortgage calculator in a Jupyter notebook
MySQLIngestorS3
Library that allows you to ingest data from mysql database into an s3 bucket.
PackagePostgresScript
Package example: Simple Restful API script that allows you to get the data from the api and store it in the Postgres database
QMTISBlockchain
Blockchain command-line interface to inform students about the new technology.
Squan-Loan-API
Squan is the Restful API service developed in Django that allows to manage loan payments.
TwitterTimeAnalysis
The project is analysing the number of Tweets that were posted each hour(24 hours) during 2016 Olympic Games.
XMLDocumentFormatter
XML Document Formatter to specific style