Learn how to deploy your ML models into production with confidence by load testing your APIs in Python with Flask and Locust

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Deploying with confidence

Applying Data Science to Data Science: a deep dive into the best-loved technologies in the world of Data Science in 2020.

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Digging in

  1. Technology — This section takes a deep-dive into the technologies that the Data Science world has been writing about and responding to this year. …

Getting Started

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Getting abstract

Data scientists: choosing whether to join a startup is a big decision. Here’s some advice to help you figure out whether life at a startup is for you.

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Getting APIs into production can be a bewildering prospect. This post gives you tips and a template for using Flask in production.

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What is Flask?

Getting Started

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Deployment is hard

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Getting technical

  • Classes — The definition of the data and procedures available to a given structure. In other…

Creating CLIs can help improve accessibility and reuse of your ML pipelines, but they can be a pain to set up. Enter Fire.

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What is Fire?

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What is Streamlit?

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The power of OOP

Mark Douthwaite

Applied AI specialist, computer scientist, software engineer. Read more at https://mark.douthwaite.io/

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