Simon Belak
where else to find them
what they talk about
all 8 in the filters
where they keep going back
- EuroClojure2 editions2016–2017
all 5 in the filters
on a stage with
- Jon Pitheronce
- Morri Feldmanonce
who talks about the same things
- Stuart Halloway13 talks
- Allen Rohner3 talks
- Rich Hickey17 talks
- Nathan Marz10 talks
- Eric Normand9 talks
- Carin Meier12 talks
| title | conference | date |
|---|---|---|
| Where to Start? | Clojure/north 2019 | 2019-04-19 |
Hands-on guide for getting productive in a large Clojure codebase: Metabase is ~98k LOC and the workflow centers on REPL-first debugging (beware stale defs… | ||
| Dealing With Data Panel | Clojure/north 2019 | 2019-04-19 |
Companies report concrete approaches: ASPSFlyer-ingest pipeline handles 70 billion events/day into Kafka then Parquet on S3 (35–40 TB/day compressed) and runs… | ||
| Save the Princess | EuroClojure 2017 | 2017-07-20 |
Reimplements OpenAI’s evolution strategies to train a policy network without backprop, using Neanderthal for fast linear algebra, Cortex for the neural net and… | ||
| Clojure.spec: A Lisp Flavoured Type System | LambdaConf 2017 | 2017-05-25 |
Claim: spec turns Clojure into a runtime-first type system, weaving regular-expression-like specs over arbitrary data with parsing with derivatives and… | ||
| Living with Spec | EuroClojure 2016 | 2016-10-25 |
Project instruments 15k LOC with Clojure spec to get validation, generative tests and structured error data; concrete results include automatic test generation… | ||
| Doing Data Science with Clojure | Lambda World 2016 | 2016-09-30 |
Argues Clojure wins for exploratory data work by manipulating nested structures instead of forcing 2D dataframes, shows a small library that composes with core… | ||
| Doing data science with Clojure: the ugly, the sad, the joyful | clojureD 2016 | 2016-02-20 |
Argues for a fast exploratory workflow that aims for answers in under two minutes or at most under twenty minutes, using modified Gorilla REPL notebooks with… | ||
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