- Part One: Set up a local development environment and then deploy both a staging and a production environment on Heroku.
- Part Two: Set up a PostgreSQL database along with SQLAlchemy and Alembic to handle migrations.
- Part Three: Add in the back-end logic to scrape and then process the word counts from a webpage using the requests, BeautifulSoup, and Natural Language Toolkit (NLTK) libraries.
- Part Four: Implement a Redis task queue to handle the text processing.
- Part Five: Set up Angular on the front-end to continuously poll the back-end to see if the request is done processing.
- Part Six: Push to the staging server on Heroku - setting up Redis and detailing how to run two processes (web and worker) on a single Dyno.
- Part Seven: Update the front-end to make it more user-friendly.
- Part Eight: Create a custom Angular Directive to display a frequency distribution chart using JavaScript and D3.
flask-by-example
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|
parent directory.. | ||||