Requirement already satisfied: requests>=2.10.0 in /opt/conda/lib/python3.7/site-packages (from jira) (2.21.0) Requirement already satisfied: defusedxml in /opt/conda/lib/python3.7/site-packages (from jira) (0.5.0) Requirement already satisfied: requests-oauthlib>=0.6.1 in /opt/conda/lib/python3.7/site-packages (from jira) (1.2.0) Requirement already satisfied: pbr>=3.0.0 in /opt/conda/lib/python3.7/site-packages (from jira) (5.1.3) Requirement already satisfied: jira in /opt/conda/lib/python3.7/site-packages (2.0.0) On the Jupyter platform, you click in the first cell and run shell commands by putting an "!" in front of the command: Let's start note-booking!įirst, lets install the Jira module. Make sure you select the Python 3 Notebook option. and then connect to the URL that is sent to the command console. Just enter the following on the command docker run -rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "$PWD":/home/jovyan jupyter/scipy-notebook There are TONS of great web pages and Youtube videos on Juypter Notebook basics, so I encourage everyone to Google around.įor our purposes, all you need to do is fire up a Docker image and your web brower. That's it! How to get going with Jupyter Notebooks? A Docker Hub account (I believe this is now required to download Docker for Mac or Windows).Docker or Docker CE for Mac, Windows or Linux:.The list of prerequisites you need to complete this task: In today's blog post, I will quickly expose you to how you can use Python and Jupyter notebooks to extract information from Jira in an implementation agnostic (server, data center and cloud) manner. ![]() ![]() However, there's always room for more ways to skin that informational feline. From the project reports, to the built in dashboard functionality and all the way to addons like EasyBI, there are many paths to getting metrics you need for your and your team. With Jira there are tons of ways to extract reporting data you need.
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