JIRA Analytics with Pandas

Data Science And Machine Learning Data Science Tools Development

Pandas Landing Page
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Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pricing:
- Open Source
Many day-to-day tasks may require one-time data analysis, so writing services every time doesn't pay off. You can treat JIRA as a data source and use a typical data analytics tool belt. For example, you may take Jupyter, fetch the list of recent bugs in the project, prepare a list of "features" (attributes valuable for analysis), utilize pandas to calculate the statistics, and try to forecast trends using scikit-learn. In this article, I would like to explain how to do it.

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Jupyter Landing Page

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Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make external connections to access JIRA via API. Another very popular service is Colab by Google. It allows you to make remote connections and install additional Python modules.

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 216 social mentions
Colaboratory Landing Page
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Colaboratory

Free Jupyter notebook environment in the cloud.
Pricing:
- Open Source
One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make external connections to access JIRA via API. Another very popular service is Colab by Google. It allows you to make remote connections and install additional Python modules.

#Development #AI #Data Collaboration 224 social mentions