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Master Databricks Notebooks: UI, Magic Commands, Widgets & Collaboration
In this video, I wal through the full Databricks notebook interface, covering UI navigation, magic commands, data handling, visualizations, widgets, version control, collaboration features, and much more, so you can master notebook usage efficiently.
Notebooks used are available at below path:
https://github.com/databeli/databricks_course.git
Plan 1 on 1 with me at below URL:
https://topmate.io/narender_kumar_91/
What you will learn:
- How to create and organize notebooks, add code and markdown cells, and use AI assistance for cell creation
- The purpose and usage of all Databricks magic commands (%sql, %md, %fs, %pip, %sh, %run, %skip)
- Working with data frames, displaying data, and creating visualizations and data profiling directly in notebooks
- Building interactive widgets for parameter input and using them in your code
- Running other notebooks with %run to modularize code and reuse functions
- Managing notebook versions, auto‑save, export/import options, and restoring previous revisions
- Collaboration tools like comments, permissions, and review workflows
- Additional utilities such as file system operations, shell scripting, and the built‑in coding assistant
If you enjoyed the content, please like the video, leave a comment with any questions, and subscribe to the channel for more in‑depth tutorials!
#databricks #notebooks #datascience #mlflow
Видео Master Databricks Notebooks: UI, Magic Commands, Widgets & Collaboration канала DataBeli
Notebooks used are available at below path:
https://github.com/databeli/databricks_course.git
Plan 1 on 1 with me at below URL:
https://topmate.io/narender_kumar_91/
What you will learn:
- How to create and organize notebooks, add code and markdown cells, and use AI assistance for cell creation
- The purpose and usage of all Databricks magic commands (%sql, %md, %fs, %pip, %sh, %run, %skip)
- Working with data frames, displaying data, and creating visualizations and data profiling directly in notebooks
- Building interactive widgets for parameter input and using them in your code
- Running other notebooks with %run to modularize code and reuse functions
- Managing notebook versions, auto‑save, export/import options, and restoring previous revisions
- Collaboration tools like comments, permissions, and review workflows
- Additional utilities such as file system operations, shell scripting, and the built‑in coding assistant
If you enjoyed the content, please like the video, leave a comment with any questions, and subscribe to the channel for more in‑depth tutorials!
#databricks #notebooks #datascience #mlflow
Видео Master Databricks Notebooks: UI, Magic Commands, Widgets & Collaboration канала DataBeli
ai assistance auto save cell creation code cells coding assistant comments data profiling data visualization databricks dataframes export import interactive widgets magic commands markdown cells markdown magic modular notebooks notebook collaboration notebook tutorial notebook version control parameter input permissions pip magic reusable function review workflow run magic shell magic skip magic sql magic ui navigation
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11 декабря 2025 г. 18:30:34
00:18:58
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