Archives

2024

• 11 Dec Getting to know the Polars GPU engine
• 21 Nov Reading and writing files on S3 with Polars
• 21 Nov Running a Jeckyll blog locally with Docker
• 11 Nov Optimising Parquet reads with Polars
• 07 Nov Polars, Altair and Vegafusion
• 07 Nov Cheatsheet for Pandas to Polars
• 18 Jun Fast python package installs with uv in Docker
• 03 Apr Fitting linear models within Polars
• 26 Feb Reading from S3 with Polars (or DeltaLake) using AWS SSO
• 16 Feb What is a Polars expression?
• 30 Jan Pandas to Polars: what to know for time series analysis
• 22 Jan Which operations work in streaming mode in Polars?
• 16 Jan Streaming large datasets in Polars

2023

• 03 Dec AWS Lambda with Polars
• 19 Oct What does ChatGPT's Advanced Data Analysis have installed?
• 05 Oct Maybe they should just call it Regular Data Analysis
• 12 Sep Understanding the Polars nested column types
• 27 Jul Comparison of Matplotlib and Plotly in Polars
• 28 Jun Filling time series gaps in lazy mode
• 24 Apr Crucial parameters for streaming in Polars
• 04 Apr Exploding a Polars pivot for feature engineering
• 01 Apr Ordering of groupby and unique in Polars
• 18 Mar Concat, extend or vstack?
• 20 Jan Filtering one df by another
• 20 Jan Embrace streaming mode in Polars
• 20 Jan Lazy mode's hidden timesaver in Polars
• 20 Jan Polars 🤝 Seaborn
• 18 Jan Nested dtypes in Polars 1: the `pl.List` dtype
• 17 Jan Talking Polars on the Real Python podcast
• 06 Jan Sinking larger-than-memory Parquet files

2022

• 16 Dec Polars ❤️ sorted data 2: groupby
• 08 Dec To go big you must be lazy
• 23 Nov AWS Lambda with Polars II: PyArrow
• 23 Nov Quickstart with Polars
• 21 Nov Inspecting a Polars query
• 10 Nov Profiling a Polars query
• 08 Nov ML pre-processing with Polars
• 07 Nov Data science 2025
• 03 Nov Polars 🤝 Matplotlib
• 01 Nov Polars & Huggingface datasets
• 31 Oct Polars on a diet
• 25 Oct Polars up and running
• 25 Oct Polars ❤️ sorted data 1: statistics
• 11 Oct Polars doesn't have an index but what if you want one? Or many?
• 11 Oct Fit Scikit-learn and XGBoost models directly from Polars
• 06 Oct Don't fear the List dtype in Polars
• 04 Oct Breaking your bad habits with Polars
• 03 Oct Getting the largest values with Polars
• 29 Sep Combining data with different schemas
• 13 Sep Polars can help if your data is sorted
• 13 Sep Using Spacy with Polars?
• 12 Sep Flexible time series aggregations in Polars
• 06 Sep Doing ML pre-processing in Polars
• 05 Sep Setting an attribute shortcut in python
• 05 Sep Don't loop over columns in Polars
• 05 Sep IPC files in Polars
• 05 Sep Loading from a database with Polars
• 05 Sep Boolean filters in Polars?
• 07 Jun Testing for data science 3: testing with Pandas
• 07 Jun Testing for data science 2: testing in practice
• 06 Jun Testing for data science 1: why test?
• 02 Jan Parallel loop the loop in numpy
• 02 Jan Attaining flow while writing software

2021

• 15 Sep What software skills do oceanographers want to learn
• 05 Aug Dev in docker without going insane
• 10 Jan JPO at 50: Part II
• 01 Jan JPO at 50: Part I

2020

• 26 Jul Dev in docker
• 26 Jun Career progression