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SUMMARY:Fullstack datascientist v.2021 (how much of software engineering s
 hould a modern datascientist know) - Sergei Beilin\, Natalia Beylina
DTSTART;TZID=Europe/Stockholm:20211021T113000
DTEND;TZID=Europe/Stockholm:20211021T115500
DTSTAMP:20260813T084831Z
UID:pretalx-pycon-sweden-2021-KR99KF@pretalx.com
DESCRIPTION:Live broadcast: https://www.youtube.com/watch?v=UujU3xOo038\n\
 nWhat are the essential software engineering skills a datascientist should
  have to succesfully bring own work to production? We - Sergei Beilin\, Ph
 .D.\, software engineering consultant in AI/ML\, and his wife Natalia Beyl
 ina\, Ph.D.\, datascientist - will go through the most important things a 
 modern datascientist needs to know about software engineering\, from both 
 software engineer and datascientist point of views\, and using our own exp
 erience.\n\nWe will discuss:\n* programming language(s): how much of the l
 anguage should one know?\n* execution models\, orchestration\, containeriz
 ation - kubernetes\, kubeflow\, airflow\, spark/databricks\, etc\n* storag
 e\, network protocols/APIs\, file formats - from CSVs to delta\, from json
  to avro\n* modern systems architecture concepts to understand\n* and how 
 the whole system architecture and infrastructure landscape will dictate th
 e way you deploy and run your work\n* tools and devops practices\n* proces
 ses: integrating data scientists' workflow into typical agile\n* bad pract
 ices to avoid: a few examples we've seen ourselves
LOCATION:Data
URL:https://pretalx.com/pycon-sweden-2021/talk/KR99KF/
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