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Julia (workshop)

Talkat Cypher 2017 · 2017-09-19..09-20· [machine-learning]
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Demonstrates Julia features with concrete numbers and code: shows multiple dispatch by inspecting the 181 methods behind the operator and defining a new plus method for string concatenation; loads a subset of TrueFX foreign‑exchange logs (about 1.6 billion rows*, ~70 GB), converts CSV to a binary memory‑mapped format that loads in ~46 ms, filters and five‑minute windowing across 20 processes and completes a heavy 70 GB filter in ~20 seconds; uses JuMP to solve FX arbitrage instances that output trades achieving a $10,000 target.

AI-written summary · about

  1. 0:00Start
  2. 1:12Multiplying Strings
  3. 3:41Real World Demo of Using Julia in Data Analytics
  4. 8:16Windowing
  5. 11:06Classic Foreign Exchange Arbitrage
  6. 13:09Plot of the Standard Deviation for a Different Currency Pairs over Time
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