Difference between revisions of "Notebooks"
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* [[Git - GitHub and GitLab]] | * [[Git - GitHub and GitLab]] | ||
* [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] | * [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] | ||
− | * [[Development]] | + | * [[Development]] ... [[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Analytics]] ... [[Visualization]] ... [[Diagrams for Business Analysis]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]] |
* [[Gaming]] ... [[Game-Based Learning (GBL)]] ... [[Games - Security|Security]] ... [[Game Development with Generative AI|Generative AI]] ... [[Metaverse#Games - Metaverse|Metaverse]] ... [[Games - Quantum Theme|Quantum]] ... [[Game Theory]] | * [[Gaming]] ... [[Game-Based Learning (GBL)]] ... [[Games - Security|Security]] ... [[Game Development with Generative AI|Generative AI]] ... [[Metaverse#Games - Metaverse|Metaverse]] ... [[Games - Quantum Theme|Quantum]] ... [[Game Theory]] | ||
* [http://databricks.com/product/collaborative-notebooks Collaborative Notebooks |] [[Databricks]] | * [http://databricks.com/product/collaborative-notebooks Collaborative Notebooks |] [[Databricks]] |
Revision as of 14:10, 27 June 2023
Youtube search... ...Google search
- Jupyter notebooks
- Colaboratory
- Python and installing with Anaconda
- Kaggle Overview
- SageMaker
- Git - GitHub and GitLab
- Python ... Generative AI with Python ... Javascript ... Generative AI with Javascript
- Development ... AI Pair Programming Tools ... Analytics ... Visualization ... Diagrams for Business Analysis ... AIOps/MLOps ... AIaaS/MLaaS
- Gaming ... Game-Based Learning (GBL) ... Security ... Generative AI ... Metaverse ... Quantum ... Game Theory
- 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.