Data preparation for a Q&A application powered by LLM — by Andrea Benevenuta

Large Language Models (LLMs) have recently emerged as a groundbreaking advancement in the field of natural language processing. These models are designed to comprehend and generate human-like text…

Preparing a migration to Microsoft Fabric: from Azure Synapse Serverless SQL — by Sam Debruyn

If all those posts about Microsoft Fabric have made you curious, you might want to consider it as your next data platform. Since it is very new, not all features are…

PySpark, Dask or Ray, how to scale your python workloads? — by Ilion Beyst, Arnaud Fombellida

When it comes to scaling out Python workloads, the landscape is filled with options. Among the prominent choices available today are PySpark, Dask, and Ray. As these…

How to win your first Kaggle competition? — by Adrien Debray, Johannes Lootens

You want to get started with Kaggle competitions? You saw an interesting challenge or the big prize money but feel a bit lost about how to tackle the competition ?

Connect to Fabric Lakehouses & Warehouses from Python code — by Sam Debruyn

In this post, I will show you how to connect to your Microsoft Fabric Lakehouses and Warehouses from Python.

Packages & dependencies

Data Spaces: Unlocking the Power of Connected Information — by Samuel Fanoukoe

In today’s digital world, data has gradually become an invaluable currency that drives innovation, decision-making, and business success. The exponential growth of data has led to new challenges…

Transforming Tabular Data in Python — by Pieter Fiers

Comparing Pandas v. Polars v. PyArrow v. DuckDB

Let me set the scene: you’re brimming with excitement to explore that shiny new data. Luckily it’s manageable enough to use your own computer; so you grab the nearest Python notebook or…

Comprehensive analytics engineering offering to enhance speed-to-insight — by Sam Debruyn, KEVIN MISSOORTEN

We are thrilled to announce the expansion of its service offerings to include a broad analytics engineering function, marking a significant step in…