PythonPractical guide
Python dependencies, from declaration to deployment
Separate what an application needs from the exact versions it runs. Understand dependency declarations, lockfiles, and repeatable installs.
Riley’s Notes
Understand the pieces.
Build the whole.
Concepts, practical notes, and tutorials on Python services and AI agents. A place to work through how things fit together.
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Small explanations. Useful connections.
EnvironmentConcept
Docker and virtual environments solve different problems
Understand the isolation boundary of a Python environment, a container, and a virtual machine—and when to combine them.
DeploymentConcept
How a Python web service actually runs
Trace a request through the proxy, application server, and application. Then examine workers, shared state, and streaming connections.
DeploymentPractical guide
Source deployments, container images, and CI/CD
Distinguish where an application runs, what a release contains, and how it gets deployed. Compare source updates with image-based releases.
AgentsConcept
Agent harnesses and guardrails
Separate the execution loop from the controls around it. See where policies are checked, how failures branch, and why enforcement timing matters.
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A suggested starting point
Follow the system,
one layer at a time.
Start with what an application needs, then trace how it runs and reaches production. Explore agent execution as a separate branch.
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