Our Skillset:
Python: Scripting, debugging, PEP 8 standards, usage of 3rd party packages
Django: Web development, API coding, Amazon s3 integration, Migration tool(South), Pluggable application, Celery(Asynchronous),Social Authentication(Facebook, Twitter)
Javascript: Jquery, ajax, plugins, mootools
Others: Redis and Beanstalkd(message broker), Version control system(git, mercurial), elasticsearch, Server sent events, css, less, Bootstrap, Apache, Gunicorn, jquery mobile
Good knowledge in Amazon AWS also.
Please see the short brief of some sample projects we have done:
HealthChatLink
A medical project doing realtime chat between doctors, patients and care circle of patient. Framework used is Django, database is mysql. Other technology used are redis as message channel, socket.io javascript for realtime server communication, celery for saving chat to database, sphinx search for full text search of previous chat. Includes api's for mobile app for the same. Hosted using gunicorn webserver. Mobile and tablet app using appcelerator. The styling of the website is done using Bootstrap. Front end javascripts are using jQuery.
Highlightcam
A movie making and socializing portal for the android and ios app HighlightCam. Using REST api used for android and ios app. Framework used is Django. Uploading media files to amazon s3 using python boto library. Other technology used are celery and beanstalkd. Hosted in AWS using apache and nginx. Front end javascripts are using jQuery.
DealSnapt
dealsnapt™ is the leading product in the US market for mobile smartphone users that are looking for the best local deals. The api controlling entire dealsnapt operations is developed using python/django. The database used is posgresql and postgis is used for handing spatial data. Used sqlalchemy along with django ORM to handle database operations. Migration tool used for this is alembic. Payment gateway used is Stripe. Android/iOS push notification sending is also implemeted in this api. The project hosted using ngnix.
Data Mining
Project handles crawling through online shopping sites to scrap active deals. Crawling initialization is done in every 6 hours. Spiders are written using python framework Scrapy. Django is used to serve the website. Site is hosted in AWS with apache.
Warm Regards, |
| Subhish N Business Development Executive |
| sub...@sparksupport.com |
| Email : sub...@sparksupport.com | Skype : spark.subhish India Phone: +91-9567091666 | US Phone : +14086001449 |