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  1. docs/bigdata/README.md

    ### **4.2 WordCount**
    
    WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.
    
    The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.
    
    - Login as user **‘spark’**.
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  2. README.md

        desired TensorFlow version, for example, branch `r2.8` for version 2.8.
    *   Apply (that is, cherry-pick) the desired changes and resolve any code
        conflicts.
    *   Run TensorFlow tests and ensure they pass.
    *   [Build](https://www.tensorflow.org/install/source) the TensorFlow pip
        package from source.
    
    ## Continuous build status
    
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  3. README.md

    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
    
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