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Requirements

The UCX DSA package requires:
  • Python 3.7 or higher
  • Dependencies:
    • networkx - For graph visualization features
    • matplotlib - For drawing and plotting data structures
Dependencies are automatically installed when you install the package via pip.

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Installing UCX DSA

1

Install via pip

The easiest way to install UCX DSA is using pip:
pip install ucxdsa
This will install the latest version of the package and all required dependencies.
2

Verify installation

After installation, verify that the package is installed correctly:
import dsa
print(dsa.version)
The first method will print the version number (e.g., 2026.02.13), while the second shows detailed package information.
3

Start using the package

Import the data structures you need:
from dsa.stack import Stack
from dsa.queue import Queue
from dsa.array import Array, DynamicArray
from dsa.graph import Graph
You’re now ready to use UCX DSA in your projects!

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Updating UCX DSA

To update to the latest version of the package: 
pip install --upgrade ucxdsa
This will download and install the newest version, replacing your current installation.
The package uses date-based versioning (YYYY.MM.DD format). Check the revision history to see what’s new in each release.

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Checking your version

There are multiple ways to check which version of UCX DSA you have installed: 
import dsa
print(dsa.version)
# Output: 2026.02.13

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Version format

The package uses date-based semantic versioning in the format YYYY.MM.DD:
  • 2026.02.13 - Released on February 13, 2026
  • 2025.12.24 - Released on December 24, 2025
  • 2025.12.09 - Released on December 9, 2025
This makes it easy to see how recent your installed version is.

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Installation troubleshooting

If you get an error about Python version compatibility, make sure you’re using Python 3.7 or higher:
python --version
If you have multiple Python versions installed, you may need to use pip3 instead of pip:
pip3 install ucxdsa
If you encounter permission errors during installation, you can install for your user only:
pip install --user ucxdsa
Alternatively, use a virtual environment (recommended for course work):
python -m venv myenv
source myenv/bin/activate  # On Windows: myenv\Scripts\activate
pip install ucxdsa
If the package installed successfully but you can’t import it:
  1. Make sure you’re using the correct Python interpreter
  2. Try restarting your Python REPL or Jupyter kernel
  3. Verify the package is installed: pip list | grep ucxdsa

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Next steps

Now that you have UCX DSA installed, check out the Quickstart guide to learn how to use the package with real code examples.

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