PyData Cambridge - 9th Meetup

This is a past event

90 people went

Location image of event venue

Details

We are very happy to announce the 9th PyData Cambridge meetup!

**Many thanks to Raspberry Pi, who host the group.**

Agenda
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18:45 - Doors open
19:00 Introduction
19:05 Ben Nuttal (Raspberri Pi Foundation) " Astro Pi: Data from the International Space Station"
19:15 - "An Introduction to Julia" by Avik Sengupta, Julia Computing (abstract below)
19:50 - Interval / **snacks provided**
20:20 - “Decision science and R at Arm” by Mamta Thangaraj and Kelig Aujogue (abstract below)
21:00 - End (Pub TBA)

Code of Conduct
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PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form.

The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen ([masked]) or organizers.

Talks
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"An Introduction to Julia" by Avik Sengupta

In this talk, Avik will demonstrate how Julia combines dynamic, high level source with a high performance runtime code. He will show what makes Julia unique among programming languages, and how it enables high quality numeric computing libraries. He will survey the machine learning / deep learning ecosystem in Julia, and talk about how that can be extended to new kinds of modelling using differentiable programming. The talk will begin as an introduction to the language, and finish by showing how it opens up new paradigms of computing.

Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and many other fields. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++.

Avik Sengupta is the head of product development and software engineering at Julia Computing, contributor to open source Julia and maintainer of several Julia packages. Avik is the author of Julia High Performance, co-founder of two artificial intelligence start-ups in the financial services sector and creator of large complex trading systems for the world's leading investment banks. Prior to Julia Computing, Avik was co-founder and CTO at AlgoCircle and at Itellix, director at Lab49 and head of algorithmic solutions at Decimal Point Analytics. Avik earned his MS in Computational Finance at Carnegie Mellon and MBA Finance at the Indian Institute of Management in Bangalore.

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“Decision science and R at Arm”

Arm stands as a leading actor in computing design. In order to maintain our competitive edge, we are in constant need to improve our technical and decision-making process. Hence, our performances rely heavily on data driven actionable insights. Within the operation research and decision analytics team, we approach a large scope of problems ranging from capacity planning to engineering platform operation activities using time series data. In this talk, we will present how R can be leveraged to enable users and operations at Arm.

This talk is aimed at beginners to intermediate R user.

Mamta is the operation research and decision analytics lead at Arm. She has a background in semiconductor physics with a PhD from Cambridge University. She has a long standing experience in data collection, modelling and decision science.

Kelig is a decision scientist at Arm. He has a background in applied mathematics. His work focusses on statistical modelling with currently a strongly emphasis on time series. Although he was trained in python during his PhD, he now uses R on a daily basis to support business decision within Arm.

Many thanks to our sponsors: ARM, Enthought, fetch.ai, Illumina, NumFOCUS and Raspberry Pi.