Archives of Data science

Higher Performance Python (ODSC 2019)

Building on PyDataCambridge last week I had the additional pleasure of talking on Higher Performance Python at ODSC 2019 yesterday. I had a brilliant room of 300 Pythonic data scientists at all levels who asked an interesting array of questions: This talk expanded on last week’s version at PyDataCambridge as I had some more time. […]

“Higher Performance Python” at PyDataCambridge 2019

I’ve had the pleasure of speaking at the first PyDataCambridge conference (2019), this is the second PyData conference in the UK after PyDataLondon (which colleagues and I co-founded 6 years back). I’m super proud to see PyData spread to 6 regional meetups and now 2 UK conferences. We had over 200 attendees and the conference […]

“A starter data science process for software engineers” – talk at PyLondinium 2019

I’ve just spoken on “A starter data science process for software engineers” (slides linked) at PyLondinium 2019, this talk is aimed at software engineers who are starting to ask data related questions and who are starting a data science journey. I’ve noted that many software engineers – without a formal data science background – are […]

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 […]

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 […]

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 […]

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 […]