Archives of Python

Notes on last week’s Higher Performance Python class

Last week I ran a two-morning Higher Performance Python class, we covered: Profiling slow code (using a 2D particle infection model in an interactive Jupyter Notebook) with line_profiler & PySpy Vectorising code with NumPy vs running the original with PyPy Moving to Numba to make iterative and vectorised NumPy really fast (with up to a […]

Another Successful Data Science Projects course completed

A week back I ran the 4th iteration of my 1 day Successful Data Science Projects course. We covered: How to write a Project Specification including a strong Definition of Done How to derisk a new dataset quickly using Pandas Profiling, Seaborn and dabl Building interactive data tools using Altair to identify trends and outliers […]

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 […]

“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 […]

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 […]

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 […]

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 […]