Oliver Bestwalter
Automagic Configuration in Python
#1about 6 minutes
An introduction from an in-house developer's perspective
The speaker shares his background working in small, autonomous teams and how that experience shaped his approach to software configuration.
#2about 7 minutes
Adopting a philosophy of configuration without configuration files
The talk focuses on solving configuration for internal systems by leveraging Python's internals rather than focusing on performance or complex code.
#3about 5 minutes
Redefining the blurry line between configuration and constants
Configuration is defined not as a variable or a true constant, but as a value derived from the environment that remains fixed after startup.
#4about 4 minutes
Practical examples of using Python for configuration
Classic configuration files are often unnecessary for internal Python projects, as demonstrated by tools like Sphinx, Plotly, and Nox.
#5about 6 minutes
How Python's module execution and import model works
Code at the module level executes during import, and the execution path differs when running a file as a script versus importing it as a module.
#6about 10 minutes
Exploring the mutability of Python constants and attributes
Most "constants" in Python, including system attributes, can be modified at runtime, highlighting the need for patterns that enforce immutability.
#7about 6 minutes
Implementing a testable singleton with read-only properties
A singleton class using the @property decorator provides a sweet spot for creating dynamic, read-only configuration values that are easily testable.
#8about 6 minutes
Q&A on versioning, runtime changes, and common mistakes
The speaker answers audience questions about version handling in a monorepo, why configuration shouldn't change at runtime, and potential pitfalls of these patterns.
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