paddles 0.2.0

A pedagogical algorithms and data structures library

paddles is a pedagogical algorithms and data structures library that aims to

• be thoroughly tested and documented
• be easy to install, use and understand
• adhere to good Python coding practices.

paddles is a work in progress. It currently implements stacks, queues, deques, bags and several sorting algorithms.

Usage

To use paddles, follow these steps:

1. Open a terminal and enter python -V to get your Python's version. If the version is 3.10 or higher, go directly to step 3.
2. If the version is lower than 3.10 or if you get an error message (e.g. 'python is an unknown command'), then close the terminal and install the latest Python version.
3. In the same terminal as step 1, or a new one if you did step 2, enter pip install paddles.
4. To check that the library is now available, enter python -m paddles.stack. You should not get any error message.

If you have any problems during installation, please report them in the Q & A discussion forum. (If you're an M269 student or tutor you can use the Technical Forum instead.) Don't forget to indicate your operating system, your Python version, and what you did before the problem occurred, so that we can help you more effectively.

5. Read the documentation to learn how to use the data structures and algorithms provided by paddles.

Contributing

Any help to improve and extend paddles is welcome and appreciated.

• If you're an M269 student or tutor, you can report errors and suggest improvements in the Technical Forum instead of using GitHub's forums and issue tracker.
• If you require a new feature, please suggest it in the ideas discussion forum.
• If you spot an error or omission in the code or documentation, please check if it has been reported, before creating a new issue.
• If you want to contribute code or documentation that addresses an open issue, please read first our contribution guide. Your contribution will become available under the terms below.

Licences

paddles is Copyright © 2024–2025 by The Open University, UK. The code is licensed under a BSD 3-clause licence. The documentation is licensed under a Creative Commons Attribution 4.0 International Licence.