Oscar Yanez FeijooMerging Large DatasetsExploring methods with Dropbox API, Apache Spark, SQL and more4d ago
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Emergent MethodsRay vs Dask: Lessons learned serving 240k models per day in real-timeReal-time, large-scale model serving is becoming the standard approach for key business operations. Some of these applications include…Aug 22, 2023Aug 22, 2023
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Oscar Yanez FeijooMerging Large DatasetsExploring methods with Dropbox API, Apache Spark, SQL and more4d ago
Subha GanapathiinTowards Data ScienceMaximizing Python Code Efficiency: Strategies to Overcome Common Performance HurdlesNavigating Nested Loops and Memory Challenges for Seamless Performance using PythonJan 11
Emergent MethodsRay vs Dask: Lessons learned serving 240k models per day in real-timeReal-time, large-scale model serving is becoming the standard approach for key business operations. Some of these applications include…Aug 22, 2023
Varun RathodDask on Kubernetes (Part-2)learn about installing packages on dask workers, and making specification changes to dask worker and dask scheduler pod’s definition.Jul 9
Itamar FaraninGeek CultureDask or Spark? A Comparison for Data Scientists3 Reasons Why Dask is Better Suited for Data Science Projects (And When it is Not)Jun 4, 20222
Kevin WiermanBuild your low-budget data platform with Dask, ECS+Fargate, S3 and not a whole lot moreIn a recent role, I was tasked with building a data platform to support a company of hundreds of employees. This was a company whose…Jul 8
Tejpal KumawatAccelerating Model Inference Through Parallel Processing for Enhanced SpeedParallel processing in model inference involves executing multiple model inferences simultaneously to improve the throughput and reduce…Nov 21, 2023
Varun RathodDask on Kubernetes (Part-1)How to run Dask on Kubernetes. create on demand Dask Cluster and run your workload.Jul 2
