Scrap GSoC 2018 data

Scrap all the data of GSoC 2018 projects and display on basis of technology/languages used and no. of Completed Projects. This is a initial code it will update in future

How to run

• Create a postgres sql database.
• run pip3 install -r requirements.txt
• Run python manage.py makemigrations and python manage.py migrate.
• Run python manage.py import_gsoc_data command to populate the database.
• Finally run python manage.py runserver to get the content in template

Don't forgot to initially create a virtualenv

Update

• Added the mutiple select for Language/Technology filter.
• Added initial Django-rest-framework view for the json data of Projects and Organization.
• If multiple Language/Technology selection doesn't give any organization list then it will show a list of organization that contain one of the selected Language/Technology.

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