Dix et al: Key Lessons from Building Our Custom Dashboard 🚀 | PyData Global 2022
Discover valuable insights and practical tips from Dix et al on creating and optimizing custom dashboards for better data monitoring and decision-making, shared at PyData Global 2022.

PyData
1.2K views • Mar 1, 2023

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Most organizations have implemented some kind of dashboard to monitor their data, processes, or business. However, many dashboard solutions come with a caveat – either the licensing costs, lack of transparency in the workflows, limited creativity, or they cannot be connected to existing infrastructure.
This talk is aimed at Data Scientists, Data Engineers, Data Practitioners and Managers struggling with choosing between a myriad of commercial dashboard solutions and DIY. We present how to create your own dashboard using open-source Python technologies like FastAPI, SQLAlchemy, and Celery and the challenges involved. We look back at the pitfalls and solutions we have worked on over the past 3 years. The goal is not to present our unique solution, but to show how we can combine different Python libraries to implement custom solutions to solve different use cases. Attendees should be familiar with the basic concepts of web infrastructure. Previous knowledge of any libraries is not required. We hope to provide a starting point to build your custom dashboard solution using open-source tooling.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
Most organizations have implemented some kind of dashboard to monitor their data, processes, or business. However, many dashboard solutions come with a caveat – either the licensing costs, lack of transparency in the workflows, limited creativity, or they cannot be connected to existing infrastructure.
This talk is aimed at Data Scientists, Data Engineers, Data Practitioners and Managers struggling with choosing between a myriad of commercial dashboard solutions and DIY. We present how to create your own dashboard using open-source Python technologies like FastAPI, SQLAlchemy, and Celery and the challenges involved. We look back at the pitfalls and solutions we have worked on over the past 3 years. The goal is not to present our unique solution, but to show how we can combine different Python libraries to implement custom solutions to solve different use cases. Attendees should be familiar with the basic concepts of web infrastructure. Previous knowledge of any libraries is not required. We hope to provide a starting point to build your custom dashboard solution using open-source tooling.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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Views
1.2K
Likes
27
Duration
26:39
Published
Mar 1, 2023
User Reviews
4.5
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