A huge thank you to the organisers for delivering an exceptional event this year. Looking forward to seeing everyone again next year!
#pydata #python #data #pydatalondon
A huge thank you to the organisers for delivering an exceptional event this year. Looking forward to seeing everyone again next year!
#pydata #python #data #pydatalondon
Harrison Pim and Fred O'Loughlin from Climate Policy Radar gave a very interesting talk on how they constructed a knowledge graph, using #machinelearning to link policy documents to topics.
Harrison Pim and Fred O'Loughlin from Climate Policy Radar gave a very interesting talk on how they constructed a knowledge graph, using #machinelearning to link policy documents to topics.
Well worth a watch when the recording is released, even if only for the great book recommendations!
Well worth a watch when the recording is released, even if only for the great book recommendations!
A fantastic talk by Matthew Upson of MantisNLP, in which he shared lessons from his personal leadership journey in the form of Python error types. Covering challenges such as delegation, communication and self care.
A fantastic talk by Matthew Upson of MantisNLP, in which he shared lessons from his personal leadership journey in the form of Python error types. Covering challenges such as delegation, communication and self care.
An interesting workshop run by Sam Joseph, where we each shared approaches and tools for levelling up our Python skills. A lot of people mentioned pair programming, reading open source code and using LLMS.
An interesting workshop run by Sam Joseph, where we each shared approaches and tools for levelling up our Python skills. A lot of people mentioned pair programming, reading open source code and using LLMS.
- Modularity is useful, combining structured PDF processing with traditional NLP models for improved workflow and performance.
- Models are relatively new and getting better all the time.
- There is now a plugin for Prodigy for working with PDFs!
- Modularity is useful, combining structured PDF processing with traditional NLP models for improved workflow and performance.
- Models are relatively new and getting better all the time.
- There is now a plugin for Prodigy for working with PDFs!
Great talk by Ines from Explosion on SpacyLayout a new library that wraps IBMs Docling, a library for structured processing of PDFs. Breaking PDFs into objects, including processing table data!
Great talk by Ines from Explosion on SpacyLayout a new library that wraps IBMs Docling, a library for structured processing of PDFs. Breaking PDFs into objects, including processing table data!
Parallel PyTorch Inference 🏃
Great talk exploring the impact of free-threaded Python (PEP-703 ) on parallel inference of PyTorch models.
Parallel PyTorch Inference 🏃
Great talk exploring the impact of free-threaded Python (PEP-703 ) on parallel inference of PyTorch models.