Ibis in Python: Portable Analytics for DuckDB, BigQuery, and Snowflake (2026)
Ibis 12 compiles one Python DataFrame API to DuckDB, BigQuery, Snowflake, and 20+ other backends. A data engineer's practical 2026 walkthrough with trade-offs.
Ibis 12 compiles one Python DataFrame API to DuckDB, BigQuery, Snowflake, and 20+ other backends. A data engineer's practical 2026 walkthrough with trade-offs.
Langfuse vs LangSmith vs Arize Phoenix for LLM observability in Python: pricing, self-hosting, OpenTelemetry support, and real production tradeoffs from someone who has shipped all three.
A hands-on guide to Delta Lake in Python with delta-rs 1.6: install, write and read from pandas/Polars, MERGE upserts, time travel and RESTORE, OPTIMIZE with Z-ORDER, plus a production checklist. No Spark or JVM required.
DSPy 3.0 turns prompt engineering into a compile step. Build typed LLM programs in Python, then let MIPROv2 optimize prompts against a metric on your data.
Instructor, Outlines, and Pydantic AI each solve structured LLM outputs a different way. Here is how to choose in 2026, with working code and FastAPI patterns.
Honest 2026 comparison of SQLMesh and dbt: virtual data environments, free backfills, Python models, dbt Fusion, and a real migration framework with code examples.
Compare GPTQ, AWQ, bitsandbytes, and GGUF for LLM quantization in Python. Real H100 benchmarks, kernel choices, and a production-ready decision tree for 2026.
dlt 1.x turns Python generators into typed tables in DuckDB, BigQuery, Snowflake, or Iceberg. Practical guide with incremental loads, schema contracts, and Dagster deployment.
A practical 2026 walkthrough of GeoPandas 1.0 for Python geospatial analysis: installing the stack, handling CRS gotchas, running spatial joins, plotting interactive maps, and scaling beyond memory with DuckDB Spatial and GeoParquet.
PyIceberg 0.9 makes Apache Iceberg tables fully usable from pure Python. Walk through catalog setup, reads, appends, upserts, schema evolution, and time travel, plus how PyIceberg compares with Spark, Delta Lake, and Hudi for 2026 lakehouse work.
A field-tested comparison of Airflow 3, Prefect 3, and Dagster for Python data pipelines in 2026: dbt integration, partition backfills, testing in pytest, and observability tradeoffs that matter at 3am.
Compare vLLM, TGI, and SGLang for serving LLMs on your own GPUs in 2026. Throughput numbers, prefix caching, quantization tradeoffs, and a production Docker deployment with monitoring.