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Join us for an exciting networking and knowledge-sharing evening at the Rust Nation Pre-Conference Developer Meetup! As a prelude to the highly anticipated Rust Nation Conference, this meetup offers Rustaceans who have flown in to meet the London community, forge new friendships, and engage in insightful discussions.

Tickets are still available for the conference. https://www.rustnationuk.com/tickets

Community Showcase Speakers

Drew Miller Founder of Tritium

Drew is a former corporate lawyer turned Rust developer, bridging the worlds of law and code.

In this talk, he'll unveil the work-in-progress IDE for Lawyers built in Rust, designed to streamline legal workflows. Discover how Rust's safety and performance empower next-generation legal tools that promise to transform how lawyers worldwide analyse, draft, and swiftly finalise critical documents.

LinkedIn: https://www.linkedin.com/in/tritium-drew-miller/

Sean Borg Sean is a Rust developer and creator of Android apps such as Track-a-Train and UpLine. When he is not working on his ever-growing list of personal open-source projects (see http://seanborg.tech) or for commercial clients, he can usually be found ice skating or on his canal boat.

Sean is also a co-organiser of (https://rustmanchester.co.uk)

Sean will talk about using Crux in a multi-page Android app in this talk. How I structured the code, the naming convention I settled on, and the pros and cons of using Crux for an Android app.

Refreshments There will be pizza and drinks courtesy of Smarkets.

This week, Hugo speaks with Sean Law about data science research and development at TD Ameritrade. Sean’s work on the Exploration team uses cutting edge theories and tools to build proofs of concept. At TD Ameritrade they think about a wide array of questions from conversational agents that can help customers quickly get to information that they need and going beyond chatbots. They use modern time series analysis and more advanced techniques like recurrent neural networks to predict the next time a customer might call and what they might be calling about, as well as helping investors leverage alternative data sets and make more informed decisions.

What does this proof of concept work on the edge of data science look like at TD Ameritrade and how does it differ from building prototypes and products? And How does exploration differ from production? Stick around to find out.

LINKS FROM THE SHOW

DATAFRAMED GUEST SUGGESTIONS

DataFramed Guest Suggestions (who do you want to hear on DataFramed?)

FROM THE INTERVIEW

Sean on TwitterSean's WebsiteTD Ameritrade Careers PagePyData Ann Arbor MeetupPyData Ann Arbor YouTube Channel (Videos)TDA Github Account (Time Series Pattern Matching repo to be open sourced in the coming months)Aura Shows Human Fingerprint on Global Air Quality

FROM THE SEGMENTS

Guidelines for A/B Testing (with Emily Robinson ~19:20)

Guidelines for A/B Testing (By Emily Robinson)10 Guidelines for A/B Testing Slides (By Emily Robinson)

Data Science Best Practices (with Ben Skrainka ~34:50)

Debugging (By David J. Agans)Basic Debugging With GDB (By Ben Skrainka)Sneaky Bugs and How to Find Them (with git bisect) (By Wiktor Czajkowski)Good logging practice in Python (By Victor Lin)

Original music and sounds by The Sticks.