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Region

A region is a defined area or subset distinguished by location, boundaries, or shared characteristics for grouping, analysis, operation, or resource placement.

How 2 Manning books explain it

Build Python Web Apps with Streamlit

A cloud region is a geographically distinct location containing data centers where cloud services operate.

How it is used
Configures where an Elastic Beanstalk application runs during interactive deployment setup.
How deep it goes
Defines regions as physical data center locations and explains their latency implications, without discussing regional infrastructure internals.
Examples
Uses us-east-2 in Ohio and ap-south-1 in Mumbai as location choices in the EB CLI.
What you can do after
Operate/configure Elastic Beanstalk deployment by selecting a region suited to the application’s users.

Read how Build Python Web Apps with Streamlit explains region →

Advanced Algorithms and Data Structures

A region is a subset of the search space associated with the points reachable through a particular tree node.

How it is used
Explains how tree nodes partition search space during binary-search and k-d-tree queries.
How deep it goes
Defines regions through pivots and search paths, then illustrates hierarchical refinement without developing search complexity.
Examples
Uses one-dimensional pivot partitions and a two-dimensional city map split vertically and horizontally.
What you can do after
Understand which search-space subset each tree node covers and identify the smallest region reached by a query.

Read how Advanced Algorithms and Data Structures explains region →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.