Execution environment
An execution environment is the computing context, including hardware, software, configuration, and supporting resources, in which programs run.
Delivering Machine Learning Projects: From design to deployment
A development environment is a computing environment configured for building and integrating software before formal testing or production deployment.
- How it is used
- Positions the development environment as the team's workspace and the production execution environment as a required system component.
- How deep it goes
- Provides architecture and fitness checks for environments, but does not specify a provisioning procedure or runtime implementation.
- Examples
- Uses a smart-building model runtime and a dashboard application prototyped in development.
- What you can do after
- Evaluate/understand whether development infrastructure is fit for the team and whether a credible path to production exists.
Snowflake Data Engineering
A development environment is an environment in which software is developed and modified before formal testing.
- How it is used
- Supports building, modifying, unit-testing, and optimizing data-pipeline code before controlled testing and production deployment.
- How deep it goes
- Details local Python setup and environment separation, but defers exact installation commands and deployment implementation.
- Examples
- Uses a local Python setup, an IDE, a centralized Git repository, and separated development, test, UAT, and production environments.
- What you can do after
- Build and maintain Snowpark Python applications and data pipelines before deploying them through controlled environments.
Read how Snowflake Data Engineering explains execution environment →
Build Python Web Apps with Streamlit
A development environment is the collection of software tools, runtimes, and configurations used to create and test software.
- How it is used
- Sets up and maintains the workflow for building, testing, and deploying Streamlit applications.
- How deep it goes
- Explains setup choices and dependency alignment, but stops short of detailed runtime internals.
- Examples
- Uses a Streamlit password checker, requirements.txt files, and mismatched requests versions as concrete examples.
- What you can do after
- Configure and reproduce a Streamlit environment across development and Streamlit Community Cloud.
Read how Build Python Web Apps with Streamlit explains execution environment →
Related concepts
- Ollamaincludes · Ollama is software for downloading, running, and serving language models locally.
- guardrailincludes · A guardrail is a constraint, safeguard, or control that limits actions or behavior to reduce risk and keep a system or process within acceptable bounds.
- sandboxingincludes · Sandboxing is the isolation of software execution in a restricted environment that limits its access to resources and its effects on surrounding systems.
- productioncontrasts with · A production environment is the live operational setting in which software or other systems serve real users, workloads, or business processes.
- text editorhas part · A text editor is software for creating and modifying text files, including plain-text documents and source code.
- Pact Broker CLIproduced by · A command-line interface for publishing and managing Pact contracts and interacting with a Pact Broker.
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