PyData London - 73rd meetup

Venue: 1 Angel Lane, EC4R 3AB

Please note:

1. You MUST use your full real names on your meetup profile AND bring a valid photo ID to the event, otherwise, you will NOT be allowed to enter the building at the night of the event! This is required by building security.
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

Tickets are assigned through a lottery draw about 1 week before the event.

If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in.

If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list.

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Code of Conduct:
This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.

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As always, there'll be free food & drinks, generously provided by our host, Man Group.

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Main Talks

1️⃣ ArcticDB Adventures - Abhi Thakur

2️⃣ The journey of building a public-facing and low-maintenance Wordle Solver - Jason Chao

This talk is about my journey of building a public-facing Wordle Solver meant to be future-proof. It showcases the possibility of rapidly developing a low-maintenance and public-facing side project with the help of unsupervised learning. The Wordle game captivates human players and people who want to build machine players. The developers of most Wordle solvers strive to find the best or optimal solution to the game by using supervised learning targeting a specific word list. However, these approaches may take a long time to train a model and easily overfit / only work well with a specific Wordle implementation. Despite time constraints, I built a Wordle Solver that works with multiple Wordle versions and supports variable word lengths. Moreover, the World Solver is now running with almost zero maintenance and at a low operating cost.

Web-based UI of my solver: https://solvewordle.games/
Github: https://github.com/jason-chao/wordle-solver
Blogpost: https://medium.com/jason-chaos-depository/building-a-dictionary-natural-wordle-solver-quick-c007ab7cea4f

⚡Lightning Talks ⚡

⚡1️⃣ ⚡ Python can send the emails for me - controlling outlook from Python - Tambe Tabitha Achere

What if, you had to send an email to lots of people - neither to everyone at once, nor to one person at a time and you had the email address combinations in an human-generated excel file? ...

⚡2️⃣ ⚡ Down the R rabbit hole -- how I picked up python tricks by converting R code to python - Wendy Mak

Somehow a lot of cool R tutorials came past my data related newsletters these last few weeks, and I disliked R enough to go about converting them into python-- along the way I dug into the 2021 uk census data, used numpy apis I rarely used, and even had a go at wrapping a C library in python. This talk is a quick and hopefully fun tour of my findings

Logistics
Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with!

Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!

Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.