Independence
Independence is the property of being able to operate, proceed, or vary without relying on, coordinating with, or being constrained by others.
Grokking Concurrency
Task independence is the property that tasks can execute in any order without depending on one another's intermediate results.
- How it is used
- Identifies which decomposed tasks can run concurrently and, with suitable hardware, execute in parallel.
- How deep it goes
- Defines order-independent execution and shows dependency analysis, synchronization limits, and fork/join; defers deeper decomposition and synchronization treatment.
- Examples
- Uses soup preparation, password checking, email features, and ballot counting to distinguish independent work from dependent steps.
- What you can do after
- Apply it by mapping task dependencies, separating work that can proceed independently, and identifying where results must be joined.
Get Programming: Learn to code with Python
Independence is a property of a software task or component that allows it to operate without relying on another task or component.
- How it is used
- Divides larger programs into smaller tasks and identifies which tasks may run concurrently.
- How deep it goes
- Defines independence through concurrency, traces dependencies in an ordering workflow, and reinforces the distinction with quick-check questions.
- Examples
- Uses online ordering, wedding-task outsourcing, and everyday quick checks to illustrate tasks and their dependencies.
- What you can do after
- Evaluate task sequences by identifying which actions can run concurrently and which require earlier tasks to finish.
Read how Get Programming: Learn to code with Python explains independence →
Related concepts
- dependencycontrasts with · A software dependency is a component, resource, or prerequisite on which another software component or operation relies to function or proceed.
- scenarioconfigures · A scenario is a concrete description of a situation or conditions, often including actions and expected or possible outcomes, for analysis or evaluation.
- concurrencyused by · Concurrency is the structuring or execution of multiple computational activities so their progress overlaps in time, whether or not they run simultaneously.
- decompositionused by · Decomposition is the process of dividing a complex whole into smaller constituent parts that can be handled or analyzed separately.
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