"But wait: If your colleagues aren't coders, how can they explore your data? The answer: A data dashboard, which uses UI elements (e.g., sliders, text fields, and checkboxes). Your colleagues get a custom, dynamic app, rather than static graphs, charts, and tables. One of the newest and hottest ways to create a data dashboard in Python is Marimo. Among other things, Marimo offers UI widgets, real-time updating, and easy distribution."
"In the upcoming (4th) cohort of HOPPy (Hands-On Projects in Python), you'll learn to create a data dashboard. You'll make all of the important decisions, from the data set to the design. But you'll do it all under my personal mentorship, along with a small community of other learners. The course starts on Sunday, February 1st, and will meet every Sunday for eight weeks. When you're done, you'll have a dashboard you can share with colleagues, or just add to your personal portfolio."
"Go beyond classroom learning: You'll learn by doing, creating your own personal product Live instruction: Our cohort will meet, live, for two hours every Sunday to discuss problems you've had and provide feedback. You decide what to do: This isn't a class in which the instructor dictates what you'll create. You can choose whatever data set you want. But I'll be there to support and advise you every step of the way."
Python is the leading language for data analysis, with libraries like NumPy and Pandas for loading, cleaning, analyzing, and visualizing data. Non-coding colleagues can explore datasets through interactive data dashboards built with UI elements such as sliders, text fields, and checkboxes. Marimo provides UI widgets, real-time updating, and straightforward distribution to simplify dashboard creation. HOPPy's fourth cohort guides learners to build a custom dashboard over eight weeks with personal mentorship and a small learning community. Live two-hour Sunday sessions provide feedback and problem discussion. Participants choose their dataset and learn distribution methods including Molab and WASM to share dashboards.
Read at Reuven Lerner
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