My Journey With Spark On Kubernetes... In Python (3/3)

This page summarizes the projects mentioned and recommended in the original post on dev.to
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  1. python

    Official Python client library for kubernetes (by kubernetes-client)

    We need to operate Kubernetes as part of a Python client application. So, we need to interact with the Kubernetes REST API. Luckily we do not need to implement the API calls and manage HTTP requests/responses ourselves: we can rely on the Kubernetes Python client, among other officially-supported Kubernetes client libraries for other languages such as Go, Java, .NET, JavaScript and Haskell (there are also a lot of community-maintained client libraries for many languages).

  2. Nutrient

    Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers. Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.

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  3. k8s-python-client-examples

    Would you like to know more? The Python scripts explained in this last article are available in this GitHub repository. Serve yourself.

  4. helm

    The Kubernetes Package Manager

    Normally, you don't do that, at least that's not in Kubernetes' philosophy: Kubernetes files should be template-free and should only be patched, by the means of Kustomize for instance. Helm has also its own templating system.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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