Marco Santoni

Has AI improved the way we write and maintain internal documentation?

I listened to the Linear Digressions episode on Humanity's Last Exam (HLE), part of their recurring "Better Know a Benchmark" series.

In May 2026 I had the opportunity to speak at PyCon Italia 2026 together with my colleague Igor Saggese.

Each year I run an end-of-course coding exam for a Big Data Specialist class.

I had the pleasure of being a guest panelist at PyData Milan on March 18, 2026.

In Building Evolutionary Architectures and Software Architecture: The Hard Parts, Neal Ford and colleagues introduce the concept of fitness functions — automated checks that verify whether a system preserves its desired architectural characteristics over…

The phrase festina lente—“make haste slowly”—was used by the Roman emperor Augustus as a personal motto.

I was invited to give a talk at Politecnico di Milano at Osservatorio Big Data.

I just moved the git repo of this blog from an old conda+pip based setup to using uv.

I've been speaking at Codemotion for the first time in October 2025 thanks to the work done over the last months at TeamSystem.

I've been for the first time at Big Data London in September 2025.

I am currently reading "AI Engineering" by Chip Huyen and am really enjoying it.

“Wanna bet?”

I've created a toy Lakehouse Monitoring in Databricks setup to explore its features and capabilities.

I was looking for a resource to get a deeper understanding of MCP (Model Context Protocol).

Shallow Work: Noncognitively demanding, logistical-style tasks, often performed while distracted.

I celebrated 10 years since my graduation trying to giving back somthing I learned about our industry to students.

I had a lot of fun (and work) over the last 6 months working or organizing a conference, Py4AI.

Why bothering reading a book about design of web APIs when working in data science like I do?

When you work as a data analyst or data scientist (I'll use the terms interchangeably) in a company, you may not be training predictive models every single day.

I was recently guest at a new podcast called "DaGrande".

The picture below was taken just at the beginning of the exam of the course called Apache Spark for Data Analysis at ITS Rizzoli in Milan on November 2022.

I went back to PyCon IT 2022 in Florence in June.

I was invited by Python Biella community to hold a webinar introducing PySpark on Databricks (in Italian).

I have been working quite some time with charts and business intelligence in the last 5 years.

On May 2021, the first episode of my first podcast went live.

I've been working with Scrum framework over the last 18 months, and I thought it was time to test that what I was doing was real Scrum or kind-of-Scrum.

Designing Data-Intensive Applications by Martin Kleppmann was not a quick-read.

How many data engineers should we hire?

I'm now part of a data and AI team in a fintech spinoff.

The first Covid case in Italy was found on February 21st 2020.

While studying for the Azure Data Scientist Associate certification, I took notes from Building AI Solution with Azure ML course.

This is an error I encountered when I have a Spark Streaming job running on Databricks 6.1.

My side project atacmonitor features a new guise.

Rather than construction, software is more like gardening— it is more organic than concrete.

The Signal and The Noise by Nate Silver is a must-read book for those interested in predictions.

Yesterday, I gave a talk Python Milano Meetup.

What does it mean to work as a data scientist in manufacturing?

I received valuable feedbacks by Jim Nasby regarding the post about weighted random sampling with PostgreSQL.

I have just launched atacmonitor.

I have migrated my blog.

I have attended the IEEE Big Data 16 conference in Washington DC.

You have a table like the following: CREATE TABLE weights ( color varchar primary key, weight float ); INSERT INTO weights (color, weight) VALUES ('red', 8), ('blue', 3), ('green', 10), ('yellow', 10); The table lists the weights associated with certain…

I was glad to give an intro to Bayesian Inference at PyData Florence 2016.

This post contains the code that I used in my talk at Python Milano Meetup on June 22nd 2016.

I use Ubuntu 16.04.

#DeepLearning introduction and enterprise architectures using #H2O - first #DataScienceMilan meetup!

Imagine you re-designing your e-commerce website.

I have just joined PyData conference in Florence, and I will list briefly some interesting insights.