🤝 COLLABORATION
Build Safer APIs with Buf – Free Workshop
Building APIs is simple. Scaling them across teams and systems isn’t. Ensuring consistency, compatibility, and reliability quickly becomes a challenge as projects grow.
Buf provides a toolkit that makes working with Protocol Buffers faster, safer, and more consistent.
Join Buf for a live, one-hour workshop on building safer, more consistent APIs.
When: Nov 19, 2025 • 9 AM PDT | 12 PM EDT | 5 PM BST
What you’ll learn:
- How Protobuf makes API development safer and simpler
- API design best practices for real-world systems
- How to extend Protobuf to data pipelines and streaming systems
📅 Today’s Picks
whenever: Simple Python Timezone Conversion
Problem
Adding 8 hours to 10pm shouldn’t give you the wrong morning time, but with Python’s datetime, it can.
The standard library fails during DST transitions, returning incorrect offsets when clocks change for daylight saving.
Solution
Whenever provides simple, explicit timezone conversion methods with clear semantics.
Key benefits:
- DST-safe arithmetic with automatic offset adjustment
- Type safety prevents naive/aware datetime bugs
- Clean timezone conversions with .to_tz()
- Nanosecond precision for deltas and timestamps
- Pydantic integration for serialization
Build Readable Scatter Plots with adjustText Auto-Positioning
Problem
Text labels in matplotlib scatter plots frequently overlap with each other and data points, creating unreadable visualizations.
Manually repositioning each label to avoid overlaps is tedious and time-consuming.
Solution
adjustText automatically repositions labels to eliminate overlaps while connecting them to data points with arrows.
All you need is to collect your text objects and call adjust_text() with optional arrow styling.
📢 ANNOUNCEMENTS
Featured on LeanPub: Production-Ready Data Science
My book Production-Ready Data Science was featured on the LeanPub home page!
LeanPub is a leading platform for publishing and selling self-published technical books, so it’s truly an honor to see my work highlighted there.
The book shares everything I’ve learned about turning data science prototypes into reliable, production-ready systems, from managing dependencies to automating workflows.
Thank you to everyone who has purchased or shared it. Your support means everything.
The book is currently on sale for 58% off until November 16.
☕️ Weekly Finds
featuretools [ML] – An open source python library for automated feature engineering
datachain [Data Processing] – ETL, Analytics, Versioning for Unstructured Data – AI-data warehouse to enrich, transform and analyze data from cloud storages
logfire [Python Utils] – Uncomplicated Observability for Python and beyond – an observability platform built on OpenTelemetry from the team behind Pydantic
Looking for a specific tool? Explore 70+ Python tools →
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