All posts of Ian

“On the Delivery of Data Science Projects” – talk at PyDataCambridge meetup

A few weeks I got to speak at PyDataCambridge (thanks for having me!), slides are here for “On The Delivery of Data Science Projects“. This talk is based on my experiences coaching teams (whilst building IP for clients) to help them derisk, design and deliver working data science products. This talk is really in two […]
5 years ago

Thoughts on how to start a PyData or Python meetup

At PyConLT 2019 (Lithuania) we just had a 10-person meeting on “how to start a new PyData or Python meetup” with existing organisers and some potential new event organisers. The night before in the conference bar Radovan and I had spent an hour helping someone from Latvia figure out their plan to start a new […]
5 years ago

PyCon Lithuania 2019 and a keynote on “Citizen Science with Python”

I’ve had the great pleasure of attending PyConLT 2019 – my first trip to Lithuania. I had no idea what to expect (I’ve never been to this part of Europe) – Vilnius is a lovely city full of lovely Pythonistas. There’s a bunch of lovely art hanging underneath bridges, an amazing Soviet Palace of Arts […]
5 years ago

Second Successfully Delivering Data Science Projects just over

I ran the second iteration of my Successfully Delivering Data Science Projects course last Friday to this happy group, we had a lovely day and good conversation has continued in the teaching slack over the weekend: Topics covered included the design and derisking of data projects (not just machine learning), building a project plan, communicating […]
5 years ago

New public course on Successfully Delivering Data Science Projects for March 1st

On Friday February 1st I ran my first Successfully Delivering Data Science Projects, this is a part of my new plan to give more training this year. This went really well and I got to both teach and learn a lot from my students. We talked through best practice, project design, derisking strategies, communication plans […]
5 years ago

“discover feature relationships” – new EDA tool

I’ve built a new Exploratory Data Analysis tool, I used it in a few presentations last year with the code on github and have now (finally) published it to PyPI. The goal is to quickly check in a DataFrame using machine learning (sklearn’s Random Forests) if any column predicts any other column. I’m interested in […]
5 years ago

Looking back on 2018, looking to 2019

So last year was a damned hard year – ignoring Brexit and other international foolishness, on a personal level (without going in to details) by mid-year I was emotionally wiped out. A collection of health issues between family and friends kept rearing their ugly heads and over time I ran very low of emotionally supportive […]
5 years ago

New public course on Successfully Delivering Data Science Projects for Feb 1st

During my Pythonic data science team coaching I see various problems coming up that I’ve helped solve before. Based on these observations and my prior IP design and delivery for clients over the years I’ve put together a 1 day public course aimed at data scientists (any level) who want to be more confident with […]
5 years ago