Difference between revisions of "Notebooks"
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[http://www.google.com/search?q=jupyter+R+markdown+deep+machine+learning+ML ...Google search] | [http://www.google.com/search?q=jupyter+R+markdown+deep+machine+learning+ML ...Google search] | ||
− | * [[Jupyter]] | + | * [[Jupyter]] notebooks |
* [[Colaboratory]] | * [[Colaboratory]] | ||
* [[Python]] and installing with Anaconda | * [[Python]] and installing with Anaconda | ||
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* [[SageMaker]] | * [[SageMaker]] | ||
* [[Git - GitHub and GitLab]] | * [[Git - GitHub and GitLab]] | ||
+ | * [http://databricks.com/product/collaborative-notebooks Collaborative Notebooks | Databricks] | ||
+ | * [http://blog.cloudera.com/use-your-favorite-editor-in-cloudera-data-science-workbench-1-6/ Use Your Favorite Editor in Cloudera Data Science Workbench (CDSW) | Cloudera] | ||
* [http://docusaurus.io/ Docusaurus] maintain Open Source documentation websites. | * [http://docusaurus.io/ Docusaurus] maintain Open Source documentation websites. | ||
* [http://mode.com/help/articles/notebook/#python Mode] - Every Mode report contains an integrated notebook-style environment where you can use either Python or R to further explore and visualize your query results. Whenever a report is run, any code included in that report’s notebook will also run. | * [http://mode.com/help/articles/notebook/#python Mode] - Every Mode report contains an integrated notebook-style environment where you can use either Python or R to further explore and visualize your query results. Whenever a report is run, any code included in that report’s notebook will also run. |
Revision as of 18:08, 22 September 2020
Youtube search... ...Google search
- Jupyter notebooks
- Colaboratory
- Python and installing with Anaconda
- Kaggle Overview
- SageMaker
- Git - GitHub and GitLab
- Collaborative Notebooks | Databricks
- Use Your Favorite Editor in Cloudera Data Science Workbench (CDSW) | Cloudera
- Docusaurus maintain Open Source documentation websites.
- Mode - Every Mode report contains an integrated notebook-style environment where you can use either Python or R to further explore and visualize your query results. Whenever a report is run, any code included in that report’s notebook will also run.
R Markdown
R Markdown documents are fully reproducible. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL.