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UID:pretalx-pyconde-pydata-berlin-2023-Z8PESY@pretalx.com
DTSTART;TZID=CET:20230417T151000
DTEND;TZID=CET:20230417T154000
DESCRIPTION:Pandas is the de-facto standard for data manipulation in python
 \, which I personally love for its flexible syntax and interoperability. B
 ut Pandas has well-known drawbacks such as memory in-efficiency\, inconsis
 tent missing data handling and lacking multicore-support. Multiple open-so
 urce projects aim to solve those issues\, the most interesting is Polars.\
 n\nPolars uses Rust and Apache Arrow to win in all kinds of performance-be
 nchmarks and evolves fast. But is it already stable enough to migrate an e
 xisting Pandas' codebase? And does it meet the high-expectations on query 
 language flexibility of long-time Pandas-lovers?\n\nIn this talk\, I will 
 explain\, how Polars can be that fast\, and present my insights on where P
 olars shines and in which scenarios I stay with pandas (at least for now!)
DTSTAMP:20260722T073507Z
LOCATION:Kuppelsaal
SUMMARY:Raised by Pandas\, striving for more: An opinionated introduction t
 o Polars - Nico Kreiling
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/Z8PESY/
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UID:pretalx-pyconde-pydata-berlin-2023-U7WAQW@pretalx.com
DTSTART;TZID=CET:20230418T110500
DTEND;TZID=CET:20230418T113500
DESCRIPTION:Innovations such as sentence-transformers\, neural search and v
 ector databases fueled a very fast development of question-answering syste
 ms recently. At scieneers\, we wanted to test those components to satisfy 
 our own information needs using a slack-bot that will answer our questions
  by reading through our internal documents and slack-conversations. We the
 refore leveraged the HayStack QA-Framework in combination with a Weaviate 
 vector database and many fine-tuned NLP-models.\nThis talk will give you i
 nsights in both\, the technical challenges we faced and the organizational
  learnings we took.
DTSTAMP:20260722T073507Z
LOCATION:B09
SUMMARY:“Who is an NLP expert?” - Lessons Learned from building an in-h
 ouse QA-system - Nico Kreiling\, Alina Bickel
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/U7WAQW/
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