This is a collection of 16 tensor puzzles. Like chess puzzles these are not meant to simulate the complexity of a real program, but to practice in a simplified environment. Each puzzle asks you to reimplement one function in the NumPy standard library without magic.
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The data mesh concept is often presented with scant details regarding an implementation. We have created an opinionated prototype showcasing the principles of data mesh.
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In this article, we explore the services of available cloud GPU platforms with a focus on relevant factors such as pricing, infrastructure, design, performance, support, and security. We use this to present the best platforms to consider for your cloud GPU necessities.
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We recommend starting with the default structure created by the dbt init [TD1] command and checking out the best practices from the folks at dbt (dbt documentation, dbt app reference, and discourse).
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For data scientists and data engineers, d6tflow is a python library which makes building complex data science workflows easy, fast and intuitive. It is primarily designed for data scientists to build better models faster. For data engineers, it can also be a lightweight alternative and help productionize data science models faster. Unlike other data pipeline/workflow solutions, d6tflow focuses on managing data science research workflows instead of managing production data pipelines.
This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilities.
You can find the AWS Glue open-source Python libraries in a separate repository at: awslabs/aws-glue-libs.
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Hasura is an open source product that accelerates API development by 10x by giving you GraphQL or REST APIs with built in authorization on your data, instantly. Link
