Newsletter #266: Python 3.14: Type-Safe String Interpolation with t-strings
🔄 Worth Revisiting
Python 3.14: Type-Safe String Interpolation with t-strings
Problem
Building SQL queries with f-strings directly embeds user input into the query string, allowing attackers to inject malicious SQL commands.
Parameterized queries are secure but require you to maintain query templates and value lists separately.
Solution
Python 3.14 introduces template string literals (t-strings). Instead of returning strings, they return Template objects that safely expose interpolated values.
This lets you validate and sanitize interpolated values before building the final query.
Build Self-Documenting Regex with Pregex
Problem
Regex patterns like [a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,} are difficult to read and intimidating.
Team members without regex expertise might struggle to understand and modify these validation patterns.
Solution
Team members without regex expertise might struggle to understand and modify these validation patterns.
Pregex transforms regex into readable Python code using descriptive components.
Key benefits:
Code that explains its intent without comments
Easy modification without regex expertise
Composable patterns for complex validation
Export to regex format when needed
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