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Prompt examples
Discover effective prompt examples for chat in VS Code across different scenarios including code generation, debugging, testing, and working with notebooks.code.visualstudio.com/docs/copilot/chat/prompt-examplesFri Mar 20 00:18:52 GMT 2026 126.7K bytes -
.eq() | jQuery API Documentation
jQuery API Documentation .eq( index ) Returns: jQuery Description: Reduce the set of matched elements to the one at t...api.jquery.com/eq/Fri Mar 20 00:18:58 GMT 2026 44.8K bytes -
deferred.rejectWith() | jQuery API Documentation
jQuery API Documentation deferred.rejectWith( context [, args ] ) Returns: Deferred Description: Reject a Deferred ob...api.jquery.com/deferred.rejectWith/Fri Mar 20 00:17:42 GMT 2026 34.1K bytes -
Planning with agents in VS Code
Learn how to use the plan agent for autonomous planning and task management with the todo list in VS Code chat.code.visualstudio.com/docs/copilot/agents/planningFri Mar 20 00:17:41 GMT 2026 120.5K bytes -
Using agents in Visual Studio Code
Learn about different types of AI agents in VS Code, including local chat, Copilot CLI for running in the background, and cloud agents.code.visualstudio.com/docs/copilot/agents/overviewFri Mar 20 00:18:30 GMT 2026 141.4K bytes -
CombineWithContext
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/java/aggregation/combinewithcontext/Thu Mar 19 17:56:43 GMT 2026 8.6K bytes -
Latest
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/java/aggregation/latest/Thu Mar 19 17:56:43 GMT 2026 9.1K bytes -
Flatten
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/java/other/flatten/Thu Mar 19 17:56:43 GMT 2026 9.1K bytes -
Values
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/java/elementwise/values/Thu Mar 19 17:56:43 GMT 2026 8.7K bytes -
event.metaKey | jQuery API Documentation
jQuery API Documentation event.metaKey Returns: Boolean Description: Indicates whether the META key was pressed when ...api.jquery.com/event.metaKey/Fri Mar 20 00:18:21 GMT 2026 39.1K bytes