Difference between revisions of "Notebooks"
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* [[Kaggle]] Overview | * [[Kaggle]] Overview | ||
* [[SageMaker]] | * [[SageMaker]] | ||
− | * [[Git - GitHub and GitLab]] | + | * [[Libraries & Frameworks Overview]] ... [[Libraries & Frameworks]] ... [[Git - GitHub and GitLab]] ... [[Other Coding options]] |
* [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] | * [[Python]] ... [[Generative AI with Python]] ... [[Javascript]] ... [[Generative AI with Javascript]] | ||
* [[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]] |
Revision as of 20:35, 13 July 2023
Youtube search... ...Google search
- Development ... Notebooks ... AI Pair Programming ... Codeless, Generators, Drag n' Drop ... AIOps/MLOps ... AIaaS/MLaaS
- Jupyter notebooks
- Colaboratory
- Python and installing with Anaconda
- Kaggle Overview
- SageMaker
- Libraries & Frameworks Overview ... Libraries & Frameworks ... Git - GitHub and GitLab ... Other Coding options
- Python ... Generative AI with Python ... Javascript ... Generative AI with Javascript
- 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.