This repository contains the sample code to go along with Cisco DevNet Learning Labs covering introductory Python coding topics.
Ideally you can bring this repo into your DevNet Express code repo as a submodule to keep up with any changes.
Contributions are welcome, and we are glad to review changes through pull requests. See contributing.md for details.
Contributions are welcome, and we are glad to review changes through pull requests. See contributing.md for details.
Within this repository are several files and folders covering different topics and labs. This table provides details on what each is used for, and which labs they correspond to.
| File / Folder | Description |
|---|---|
env_lab.py |
A Python file containing lab infrastructure details for routers, switches and appliances leveraged in the different labs. This file provides a centralized Python import that is used in other code samples to retrieve IPs, usernames, and passwords for connections |
env_user.template |
Similar to env_lab.py, this is a template for end users to copy within their own code repo as env_user.py where they can provide unique details for their own accounts. For example, their Webex Teams (formerly Cisco Spark) authentication token. Not all labs require this file, if one does it will be specified in setup. |
requirements.txt |
Global Python requirements file containing the requirements for all labs within this repository. Each folder also contains a local requirements.txt file. |
intro-python/ |
Sample code and exercises for the Python Fundamentals Learning Labs (Publishing Soon) |
requirements-dev.txt |
Python requirements file containing requirements only needed if developing new code samples. |
Note: These code samples are also leveraged during DevNet Express for DNA events. If you are one of these events, your event proctors and hosts will walk you through event setup and verification steps as part of agenda.
These learning samples are for public consumption, so you must ensure that you have the rights to any content that you contribute.
- If you'd like to contribute to an existing lab, refer to contributing.md.
- If you're interested in creating a new Cisco DevNet Learning Lab, please contact a DevNet administrator for guidance.