This repo contains everything you need to get started on the program! Good luck!
Here is your task
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To begin, get your hands on the starter repo - fork and clone it to your machine: https://github.com/vagabond-systems/quantium-starter-repo. If this step is confusing, read the first two chapters of the Git book linked below.
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Open the project in your IDE of choice — feel free to use any Python IDE you’re comfortable with. If you don’t have a favourite Python IDE yet, look at Pycharm Community Edition. It’s a well-designed IDE by Jetbrains packed with features and plugins, powerful enough to work on the most complex projects, and entirely free.
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One of the best ways to manage dependencies in Python is with virtual environments. Each virtual environment contains a Python interpreter and a collection of project dependencies. They are entirely encapsulated in a single folder, and easy to work with once you get the hang of them. For this project, you will set up a Python 3.9 virtual environment. Review the resources linked below for more information.
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Next, add the dash and pandas packages as dependencies to your virtual environment. Instructions for this step can be found in the Resources section below.
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With your virtual environment active, run
pip install "dash[testing]"(without backticks) to install all the necessary dash testing dependencies.
Congratulations! You’ve completed the bulk of the work for this task and now have access to a fully-featured workbench. All that’s left is to submit your work. Commit your changes and push them to GitHub!
You’re done! Submit a link to your repo on the next step.
Estimated time for task completion: 30-60 minutes depending on your learning style.
Task 1: Status ✅
This is main branch with Task 1, for remaining tasks checkout branches with name Task