Tag: #polars
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 8 posts
8 posts are tagged #polars; the most recent was published on 2026-05-16.
Often tagged together: #english 5 #fastapi 3 #pandas 3 #pydantic 3 #python 3
Most read in the last 90 days:
- Math and Scientific Computing Tools in 2026 — Mathematica / MATLAB / Maple / SageMath / Julia 1.11 / R + Posit / JAX / GeoGebra / Desmos / GAP / Macaulay2 Deep Dive
- Python Ecosystem 2026 Deep-Dive — Python 3.13 · FastAPI · Django 5 · Litestar · SQLAlchemy 2 · Polars · Pydantic 2 · Ruff · uv · mypy
- Modern Python in 2026 — Python 3.13 / 3.14 / free-threaded / uv / Ruff / Polars 1.0 / FastAPI / Litestar / Robyn deep-dive
Python Ecosystem 2026 Deep-Dive — Python 3.13 · FastAPI · Django 5 · Litestar · SQLAlchemy 2 · Polars · Pydantic 2 · Ruff · uv · mypy ♪ Listenable
A 2026-05 snapshot of the entire Python ecosystem in one post. Python 3.13 free-threaded build and JIT, FastAPI / Django 5 / Litestar / Flask 3 / Sanic / Robyn, SQLAlchemy 2 with Polars / DuckDB / pandas 2, the Pydantic
2026-05-16 · 20 min read #python#fastapi#django#litestar#sqlalchemyModern Python in 2026 — Python 3.13 / 3.14 / free-threaded / uv / Ruff / Polars 1.0 / FastAPI / Litestar / Robyn deep-dive ♪ Listenable
In 2026 Python is the first time in 30 years that the language has crossed two huge inflection points at once. The first is the language itself — Python 3.13 brought the free-threaded preview and the JIT preview, and 3.1
2026-05-16 · 29 min read #python#python-3-13#python-3-14#free-threaded#jitModern Statistical Computing 2026 Complete Guide - R 4.5 · Posit RStudio · Stan · Pyro · NumPyro · Brms · JAX · Tidyverse · data.table · Polars · Marimo Deep Dive ♪ Listenable
In 2026 statistical computing has two large currents running in parallel. On one side R 4.5 (April 2025) and Posit (formerly RStudio) commercial stack are cementing the reproducible-research standard. On the other side J
2026-05-16 · 23 min read #statistical-computing#r-language#posit#rstudio#stanMath and Scientific Computing Tools in 2026 — Mathematica / MATLAB / Maple / SageMath / Julia 1.11 / R + Posit / JAX / GeoGebra / Desmos / GAP / Macaulay2 Deep Dive ♪ Listenable
The math and scientific computing landscape in 2026 is no longer dominated by one or two tools. Wolfram Mathematica still owns premium symbolic computation. MATLAB and Simulink remain the engineering industry standard. M
2026-05-16 · 29 min read #math#scientific-computing#wolfram-mathematica#matlab#simulinkPolars 1.x vs Pandas — End of an Era? A Modern DataFrame Deep Dive for 2026 ♪ Listenable
Polars hit 1.x with a stable-API promise, Pandas 2.2 finally adopted PyArrow as a real backend, and the gravity of the dataframe world shifted. Is Polars actually replacing Pandas? This deep dive walks through the Rust p
2026-05-14 · 20 min read #polars#pandas#dataframe#apache-arrow#duckdbThe New Python Notebook Stack in 2026 — Marimo, Quarto, and the Post-Jupyter Data Workflow (Observable, Pluto, Polars, DuckDB)
Jupyter's hidden state, non-diffable JSON, and reproducibility problems are still the biggest friction in 2026 data-science workflows. Marimo stores notebooks as .py files and executes them via a dataflow graph (not cell
2026-05-14 · 18 min read #marimo#quarto#jupyter#python-notebook#reactive-notebookPython Complete Guide — FastAPI, AsyncIO, Pydantic, uv, Polars, AI Engineering (Season 2 Ep 5, 2025)
Python used to be the "slow, GIL-locked" language. The 2024-2025 Python is a completely different beast — free-threading (No-GIL) experiment, JIT compiler, the revolutionary uv package manager, Polars with a Rust-backed
2026-04-15 · 11 min read #python#fastapi#asyncio#pydantic#uvRust for AI Systems: From Ownership to High-Performance Inference Servers with Candle, PyO3, and axum
A complete Rust guide for AI infrastructure — from the ownership system and Candle ML framework to PyO3 Python integration, axum inference servers, and WebAssembly deployment.
2026-03-17 · 13 min read #rust#aisystem#candle#pyo3#polars