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Properties of jQuery Object Instances | jQuery ...
jQuery API Documentation The DOM node context originally passed to jQuery(); if none was passed then context will lik...api.jquery.com/category/properties/jquery-object-instance-properties/Registered: Wed Nov 05 00:09:12 UTC 2025 - Last Modified: Wed Nov 05 00:09:12 UTC 2025 - 25.8K bytes - Viewed (0) -
Event Handler Attachment | jQuery API Documenta...
jQuery API Documentation Attach a handler to an event for the elements. Attach a handler to one or more events for al...api.jquery.com/category/events/event-handler-attachment/Registered: Wed Nov 05 00:07:31 UTC 2025 - Last Modified: Wed Nov 05 00:07:31 UTC 2025 - 30.6K bytes - Viewed (0) -
.bind() | jQuery API Documentation
jQuery API Documentation .bind( eventType [, eventData ], handler ) Returns: jQuery version deprecated: 3.0 Descripti...api.jquery.com/bind/Registered: Wed Nov 05 00:07:37 UTC 2025 - Last Modified: Wed Nov 05 00:07:37 UTC 2025 - 66.6K bytes - Viewed (0) -
Forms | jQuery API Documentation
jQuery API Documentation Bind an event handler to the “blur” event, or trigger that event on an element. Bind an even...api.jquery.com/category/forms/Registered: Wed Nov 05 00:08:51 UTC 2025 - Last Modified: Wed Nov 05 00:08:51 UTC 2025 - 34.9K bytes - Viewed (0) -
Preprocess data
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/ml/preprocess-data/Registered: Wed Nov 05 00:08:02 UTC 2025 - Last Modified: Tue Nov 04 17:44:09 UTC 2025 - 50.5K bytes - Viewed (0) -
GroupBy
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/python/aggregation/groupby/Registered: Wed Nov 05 00:07:58 UTC 2025 - Last Modified: Tue Nov 04 17:44:09 UTC 2025 - 45K bytes - Viewed (0) -
Custom I/O patterns
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/patterns/custom-io/Registered: Wed Nov 05 00:08:49 UTC 2025 - Last Modified: Tue Nov 04 17:44:09 UTC 2025 - 40.8K bytes - Viewed (0) -
Reify
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/python/elementwise/reify/Registered: Wed Nov 05 00:08:24 UTC 2025 - Last Modified: Tue Nov 04 17:44:09 UTC 2025 - 39.3K bytes - Viewed (0) -
R in Visual Studio Code
code.visualstudio.com/docs/languages/rRegistered: Wed Nov 05 00:25:14 UTC 2025 - 103.7K bytes - Viewed (0) -
Markdown and Visual Studio Code
code.visualstudio.com/docs/languages/markdownRegistered: Wed Nov 05 00:25:21 UTC 2025 - 132.4K bytes - Viewed (0)