This is a Python implementation of a simple search engine. Currently, the data we are using is available in this cloud bucket.

All code to be implemented during TA camp is in core.py.

• Make this repository private
• Improve handouts for all assignments
• Create robust solutions for all assignments
• Share the Google Cloud project with team members
• Add these todos to the Trello board

Configure your PyCharm settings by following the instructions below:

1. File -> Default settings -> Project Interpreter -> Pick a version of Python 3.6 -> OK
2. Settings -> Project:solution -> Project Interpeter -> Settings icon -> Create virtual env -> name virtual environment, pick 3.6 -> OK
3. Alt-F12 to open the terminal in Pycharm
4. pip install -r requirements.txt

All of our code is currently in the file core.py. Tests are in test_core.py. Issues are posted on the GitHub.

The process for fixing issues is as follows:

1. Create an issue on GitHub if necessary.
2. Run tox from the root workspace directory.
3. If all tests pass, you are good to push to the master branch.
4. Close the corresponding issue(s).

If implementing a larger feature (>100 LOC), create a new branch open up a pull request. We recommend that you keep your commits modular.