uv and juv

To go through these exercises, you need to create a new folder on your Desktop called bobiac_uv.

Exercise 1

Create a Python Environment with uv and Install numpy & matplotlib

1. Open the Terminal or PowerShell and navigate to the bobiac_uv folder.

2. Create a new virtual environment with uv in the bobiac_uv_env folder named my-env.

3. Activate the newly created my-env virtual environment.

4. Install numpy and matplotlib in the my-env virtual environment.

5. List the installed packages in the my-env virtual environment to confirm that numpy and matplotlib are installed.

6. Deactivate the my-env virtual environment.

Solution

1. open the Terminal or PowerShell.

2. cd .../Desktop/bobiac_uv

3. uv venv my-env

4. source my-env/bin/activate (Linux/macOS) or my-env\Scripts\activate (Windows)

5. uv pip install numpy matplotlib

6. uv pip list

7. deactivate

Exercise 2

Create a new Jupyter Notebook with uv’s juv tool

1. Open the Terminal or PowerShell and navigate to the bobiac_uv folder.

2. Inside the bobiac_uv folder, create a new folder named nb_folder and navigate into it.

3. Inside the nb_folder, create a new Jupyter Notebook named my-first-nb.ipynb using uv’s juv tool.

4. Run the my-first-nb.ipynb notebook in your browser using juv.

Solution

1. open the Terminal or PowerShell.

2. cd .../Desktop/bobiac_uv

3. mkdir nb_folder

4. cd .../Desktop/nb_folder

5. uvx juv init my-first-nb.ipynb

6. uvx juv run my-first-nb.ipynb

Exercise 3

Add dependencies to a Jupyter Notebook with juv

1. In the my-first-nb.ipynb notebook created in Exercise 2, add matplotlib, numpy, and pandas as dependencies using juv.

2. Run the notebook with juv and import the three libraries in the first cell to confirm that they are installed and can be imported without errors.

   Note

   If you have the my-first-nb.ipynb notebook open in your browser, you need to stop it from the terminal (cmd + c or ctrl + c) and close the browser tab before running the notebook again with juv or the new dependencies will not be installed.

Solution

1. cd .../Desktop/nb_folder (the folder created in Exercise 2)

2. uvx juv add my-first-nb.ipynb numpy pandas matplotlib

3. uvx juv run my-first-nb.ipynb

4. add a new code cell in the notebook (+ button)

5. within this cell, import the three libraries:

   import matplotlib
   import numpy as np
   import pandas as pd
   

6. Run the cell to confirm that the libraries are imported without errors.

Exercise 4

Create a .py file with the PEP723 ///script header using uv

1. Open the Terminal or PowerShell and navigate to the bobiac_uv folder.

2. Inside the bobiac_uv folder, create a new folder named py_folder and navigate into it.

3. Use uv to create a new Python file named my_script.py with the PEP723 ///script header and Python 3.13.

4. Add numpy and matplotlib as dependencies to the my_script.py file using uv.

5. Run the my_script.py file using uv to verify that the dependencies are installed and the script runs without errors.

6. Optional: show the dependencies of the my_script.py file using uv tree.

7. Optional: show the python version used for the my_script.py file using uv python.

Solution

1. open the Terminal or PowerShell.

2. cd .../Desktop/bobiac_uv

3. mkdir py_folder

4. cd .../Desktop/bobiac_uv/py_folder

5. uv init --script my_script.py -p 3.13

6. uv add --script my_script.py numpy matplotlib

7. uv run my_script.py

8. Optional: uv tree --script my_script.py

9. Optional: uv python find --script my_script.py --show-version