Grab your coffee. Here are this week’s highlights.

📅 Today’s Picks

Loguru: From Print Statements to Production Logging in One Line

Problem

Data scientists often rely on print statements to monitor data processing pipelines during development.

But print provides no timestamps or severity levels.

Python’s built-in logging fixes that, but demands boilerplate: handlers, formatters, and log-level configuration just to get started.

Solution

Loguru replaces both with a single import: one line gives you structured, colored logging with no setup required.

Key features:

• Modern {} formatting that matches Python f-string syntax
• One-line file logging with automatic rotation and retention
• Readable tracebacks that show variable values at each stack level
• Custom sinks to route logs to Slack, email, or databases

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.

☕️ Weekly Finds

mistune [Python Utilities] – Fast Python Markdown parser with custom renderers and plugins that converts Markdown to HTML with minimal overhead

pyparsing [Python Utilities] – Python library for creating readable PEG parsers that handles whitespace, quoted strings, and comments without regex complexity

fastlite [SQL] – Lightweight SQLite wrapper by Jeremy Howard that adds Pythonic syntax, dataclass support, and diagram visualization for interactive use

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