(this’ll be an evolving post as I write-up on-the-go including other keynoters).
We’ve just run our 2nd PyDataLondon conference, we’ve had around 300 attendees, 3 keynotes, 3 tracks over 3 days. It has been fab! We’ve grown 50% on last year along with 20% female speakers and 20% female attendees (both up on last year). I’m really happy with the results of all the hard work of our conference committee. Here’s Helena giving our opening keynote:
I gave a talk entitled “Ship It!“, breaking down 10 years of experience on building, running and deploying successful data science projects. I looked at 10 years of my consulting projects, removed those that failed (noting reasons why) and then categorised those that worked into the 4 groups that I start the talk with. After that I build on lessons as the groups build into each other.
I’ll call out a new project that I mentioned- DSADD (Data Scientists Against Dirty Data), a set of decorators to apply to Pandas DataFrames to set constraints on your data. This helps when dealing with dirty data.
I also got to do another book signing for my High Performance Python, along with Yves and his Python for Finance:
Our team did a fine job, along with Leah and James (our International Team [they make all the background stuff happen – particularly Leah!]), and Bloomberg’s team include Amy, Kenny and Darren:
[SPONSORS TO ADD SOON]
The party last night was in a local Bier Keller with a live Oompah Band (don’t ask!). Much conversation was had 
Ian applies Data Science as an AI/Data Scientist for companies in ModelInsight, sign-up for Data Science tutorials in London. Historically Ian ran Mor Consulting. He also founded the image and text annotation API Annotate.io, co-authored SocialTies, programs Python, authored The Screencasting Handbook, lives in London and is a consumer of fine coffees.