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Welcome

This folder contains materials for your Posit Academy course project. You will complete this project in Positron using a dedicated instance of Posit Workbench (instructions for accessing Posit Workbench will be shared at the beginning of your course).

By accessing these Posit Academy course materials, you agree to Posit's End User License Agreement and Learning Services Agreement.

Project Structure

  • Quarto (.qmd) files: These are the project milestone files where you'll complete your work each week

  • data/: Contains the datasets you'll explore along with "solution" datasets for you to compare against your work

  • assets/: Contains data dictionaries explaining the variables in each dataset

  • images/: Contains milestone "solution" images for you to compare against your work

Getting Started

Step 1: Install Python packages you will need for this project:

  1. Open your Terminal tab (just to to right of your Console tab).

  2. Run uv sync in your Terminal (this may take several minutes to complete)

Note: uv sync uses uv, a popular Python package manager, to install Python packages included in the uv.lock file. You will see output in the Console indicating that Python packages are being installed. Wait for this to complete before proceeding.

Step 2: Open your first milestone file.

  1. In the Explorer tab on the left, open the file indexes_01_quarto_python-intro.qmd

  2. Follow the instructions in this file to complete the exercises

Note: One milestone at a time

Once you have set up your project in Positron, you will have access to all of the milestone files for your project. However, we encourage you to only focus on the milestone corresponding to the current week of your Academy course.

Milestone files are numbered sequentially according to the week of the course. For example:

Week 1 = indexes_01_quarto_python-intro.qmd
Week 2 = indexes_02_quarto_python-wrangle.qmd
etc.

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Posit Academy: Foundations of Python for Data Science - Stock Portfolios Project

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