Expressive parallel analytics with Clojure
Please log in to watch this conference skillscast.
Sharing experience gained from his work on a mission-critical data product earlier this year, Henry will speak about some newer features of Clojure that enable data scientists to write concise, expressive and performant data processing code. He’ll explore transducers and reducing functions, and show how simple functional combinators can make even sophisticated analytical code both faster and easier to comprehend.
YOU MAY ALSO LIKE:
- Clojure for Machine Learning (SkillsCast recorded in December 2016)
- Advanced Docker for Enterprise Operations (in London on 28th - 29th November 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)
- Clojure eXchange 2019 (in London on 2nd - 3rd December 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- London Java Community August Meetup (in London on 28th August 2019)
- London Java Community August (in London on 28th August 2019)
- Lightening talk: Redis Modules (SkillsCast recorded in July 2019)
- Distilling Agile for Effective Execution (SkillsCast recorded in April 2019)
Thanks to our sponsors
Expressive parallel analytics with Clojure
Henry Garner
Henry Garner is a freelance data engineer working primarily in Clojure. He’s author of the Packt book 'Clojure for Data Science' and managed to squeeze the buzzwords 'big data' and 'machine learning' onto the cover. And also into this biography.
Please log in to watch this conference skillscast.
Sharing experience gained from his work on a mission-critical data product earlier this year, Henry will speak about some newer features of Clojure that enable data scientists to write concise, expressive and performant data processing code. He’ll explore transducers and reducing functions, and show how simple functional combinators can make even sophisticated analytical code both faster and easier to comprehend.
YOU MAY ALSO LIKE:
- Clojure for Machine Learning (SkillsCast recorded in December 2016)
- Advanced Docker for Enterprise Operations (in London on 28th - 29th November 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)
- Clojure eXchange 2019 (in London on 2nd - 3rd December 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- London Java Community August Meetup (in London on 28th August 2019)
- London Java Community August (in London on 28th August 2019)
- Lightening talk: Redis Modules (SkillsCast recorded in July 2019)
- Distilling Agile for Effective Execution (SkillsCast recorded in April 2019)
Thanks to our sponsors
Expressive parallel analytics with Clojure
Henry Garner
Henry Garner is a freelance data engineer working primarily in Clojure. He’s author of the Packt book 'Clojure for Data Science' and managed to squeeze the buzzwords 'big data' and 'machine learning' onto the cover. And also into this biography.