Workshop: Interactive numeric computing with Node.js and JavaScript
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Traditionally, if you wanted to write fast code for numeric computation, you used Fortran or C. Within the past two decades, you have seen an enormous shift toward languages which favor expressiveness over absolute speed. Much of scientific computing is now performed using dynamic, loosely typed languages, such as R or Python. Taking into account JavaScript's expressiveness, why not do your computing in JavaScript?
In this workshop, Athan Reines will first provide an overview of numeric computation in JavaScript, libraries currently available, and what makes these libraries competitive with and even superior to alternatives on other platforms. Next, he will guide attendees through a series of brief exercises to demonstrate use cases ranging from analytics to machine learning to exploratory data analysis and visualization. He will then show how to leverage Node and JavaScript to build feature rich numeric compute applications both at the command-line and in the browser. Finally, he will outline future steps and identify opportunities for community development of next-generation tools.
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Thanks to our sponsors
Workshop: Interactive numeric computing with Node.js and JavaScript
Athan Reines
Athan Reines is a full-stack engineer and data scientist. He has a PhD in Physics, where he used machine learning and time series analytics to probe biological systems at the nanoscale. He currently works full-time on open source projects to facilitate numerical computing in Node.js and JavaScript.
Please log in to watch this conference skillscast.
Traditionally, if you wanted to write fast code for numeric computation, you used Fortran or C. Within the past two decades, you have seen an enormous shift toward languages which favor expressiveness over absolute speed. Much of scientific computing is now performed using dynamic, loosely typed languages, such as R or Python. Taking into account JavaScript's expressiveness, why not do your computing in JavaScript?
In this workshop, Athan Reines will first provide an overview of numeric computation in JavaScript, libraries currently available, and what makes these libraries competitive with and even superior to alternatives on other platforms. Next, he will guide attendees through a series of brief exercises to demonstrate use cases ranging from analytics to machine learning to exploratory data analysis and visualization. He will then show how to leverage Node and JavaScript to build feature rich numeric compute applications both at the command-line and in the browser. Finally, he will outline future steps and identify opportunities for community development of next-generation tools.
YOU MAY ALSO LIKE:
- A Better Node.js REPL (SkillsCast recorded in May 2019)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
- Keynote by Ryn Daniels on Designing Sustainable Ops Cultures (in London on 21st August 2019)
- React & Redux Workshop with Damjan Vujnovic (in London on 16th - 18th September 2019)
- Leonardo De Marchi's Deep Learning Fundamentals (in London on 22nd - 23rd October 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- You got served: How Deliveroo improved the ranking of restaurants (in London on 27th August 2019)
- A Gentle Introduction to Shaders - Materials (in London on 27th August 2019)
- Genetic Programming for RL on Minecraft (SkillsCast recorded in August 2019)
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Thanks to our sponsors
Workshop: Interactive numeric computing with Node.js and JavaScript
Athan Reines
Athan Reines is a full-stack engineer and data scientist. He has a PhD in Physics, where he used machine learning and time series analytics to probe biological systems at the nanoscale. He currently works full-time on open source projects to facilitate numerical computing in Node.js and JavaScript.