jmuking / anaconda-eats

Repo for Greenfield Interviewing

anaconda-eats

Welcome to the greenfield coding portion of your interview at Anaconda! Today, you will be building a platform called "Anaconda Eats", which is intended to be a place on the internet where users can store and retrieve recipes that they want to use later.

First Steps

1. Fork this repo, so that you can access the prompts and some handy automation we've set up to ease the process.

2. Check the prompts directory to find interview prompts specific to your position. They are linked below for your convenience:

   • Backend Engineer Prompt
   • Frontend Engineer Prompt
   • Fullstack Engineer Prompt
   • QA Engineer Prompt

3. Please ask any questions you have. Reach out to your recruiter at Anaconda with any questions.

4. (optional) Use the gitpod instance and/or Makefile we've included in this repo to create an environment for this interview. See below for more details.

5. Start programming!

Creating and Using the Preconfigured Environment (Optional)

• A Gitpod instance has been configured for this repo, which creates a Linux environment with options for various Python-based full-stack/BE web servers when started. Candidates can use this instance to create and run any files/projects they want for their prompt. If you are forking this repo to your own, you can access a gitpod instance by prepending gitpod.io/# to the url of your forked repo, e.g. type gitpod.io/#https://github.com/your-github-fork/anaconda-eats in your web browser address bar to start an instance. You may be asked to link gitpod to your GitHub account. You are not required to use the Gitpod instance for the interview, it's just meant to make the process a bit easier.

• To jumpstart your process, take a look at the Makefile for make commands that will create cookiecutter projects in the platform of your choice. For example, once you have started the gitpod, look for the "Gitpod Task 1" terminal tab in the lower right. When the environment has been created (which may take a minute the first time), you should see the message "Ready to begin!" Now you can use the Makefile to create a boilerplate project. For example, typing make fastapi will create an environment and run a basic FastAPI app that you will then be able to iterate on. With the server running, you can then make changes to the templates/fastapi/app.py file, save them, and the server will reload with your changes. Note that in some frameworks you will have to manually restart the process (ctrl-c and then make again).

• To view your work in the gitpod, you can navigate to the "Ports" tab (to the right of the "Terminal" tab) and click on the corresponding icons to see an in-instance preview, or to open the port the server is running on in a new browser tab/window.

Tips & Tricks for your Interview

• Explain the approach you are intending to take and be sure to document any assumptions you made.
• Be sure to tell us what your priorities are when it comes to application so we know what you focused on and where you'd improve given more time.
• If you would like to test things on an example backend, an API with Swagger docs is available here.

Requirements

• Please add a README that explains how to get your application up and running.
• Make sure that you've gone through and tested that everything you've made works.

Submitting

• Please give your recruiter the link to the repo that you completed this assessment in. They will pass that link on to Anaconda engineers who will review your work and discuss it with you during the interview process.