Matthew Rocklin - Streaming Processing with Dask
PyData New York City 2017
Slides: http://matthewrocklin.com/slides/pydata-nyc-2017.html
This talk discusses ongoing work to build streaming data processing systems for Python with Dask, a Pythonic library for parallel computing. This talk will discuss streaming primitives, dataframes, and integration with the Jupyter notebook and use example from financial time series and cyber-security.
Видео Matthew Rocklin - Streaming Processing with Dask канала PyData
Slides: http://matthewrocklin.com/slides/pydata-nyc-2017.html
This talk discusses ongoing work to build streaming data processing systems for Python with Dask, a Pythonic library for parallel computing. This talk will discuss streaming primitives, dataframes, and integration with the Jupyter notebook and use example from financial time series and cyber-security.
Видео Matthew Rocklin - Streaming Processing with Dask канала PyData
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
PyCon.DE 2017 Keynote Matthew Rocklin - Dask: Next Steps in Parallel Python
scikit-multiflow: Machine Learning for Data Streams in Python
Stream Processing Design Patterns | Capital One
Standard Dask Demo
Large SVDs on the cloud with Dask and Coiled
Daniel Chen: Cleaning and Tidying Data in Pandas | PyData DC 2018
Refactoring the SciPy Ecosystem for Heterogeneous Computing | SciPy 2019 | Matthew Rocklin![Streaming data processing pipelines with Apache Beam [in Python, naturally!] - PyCon APAC 2018](https://i.ytimg.com/vi/I1JUtoDHFcg/default.jpg)
Streaming data processing pipelines with Apache Beam [in Python, naturally!] - PyCon APAC 2018
Matthew Rocklin Dask A Pythonic Distributed Data Science Framework PyCon 2017
Scalable Machine Learning with Dask
Building Streaming Microservices with Apache Kafka - Tim Berglund
Irina Truong - Adapting from Spark to Dask: what to expect - PyCon 2018
Dask Arrays: Introduction
Matt Davis: A Practical Introduction to Airflow | PyData SF 2016
PyData Tel Aviv Meetup: SHAP Values for ML Explainability - Adi Watzman
Big Data Processing with Apache Beam Python | SciPy 2017 | Robert Bradshaw
Renewable Power Forecast Generation with Dask & Visualization with Bokeh | SciPy2019 | A. Lorenzo
Apache Kafka and KSQL in Action : Let’s Build a Streaming Data Pipeline! by Robin Moffatt
Parallelizing Scientific Python with Dask | SciPy 2018 Tutorial | James Crist, Martin Durant