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    دانلود O'Reilly Learning Path - Scaling Python for Big Data

    تولید کننده: O'Reilly
    Learning Path: مقیاس گذاری پایتون برای داده های بزرگ
    8,300 تومان
    مشخصات محصول
    طول مدت آموزش7 ساعت و 30 دقیقه
    زبان آموزشانگلیسی روان و ساده
    محصول موسسه آموزشیO'Reilly
    نحوه ارائه آموزشقابل دانلود و ارسال (جهت ارسال DVD تماس حاصل فرمائید.)
    حجم دانلود1.5 گیگابایت

    پیش نیازها:

    • رایانه ای با دسترسی به اینترنت.
    • دانش ابتدایی از پایتون

     

    این دوره برای چه کسی است؟

    • هر کسی که علاقه مند به یادگیری نحوه برنامه نویسی با پایتون باشد!

    در این دوره یاد می گیرید:

    Building Data Pipelines with Python
    Welcome To The Course
    About The Author
    Introduction To Automation
    Adventures With Servers
    Being A Good Systems Caretaker
    What Is A Queue?
    What Is A Consumer? What Is A Producer?
    Why Celery?
    Celery Architecture & Set Up
    Writing Your First Tasks
    Deploying Your Tasks
    Scaling Your Workers
    Monitoring With Flower
    Advanced Celery Features
    Why Dask?
    First Steps With Dask
    Dask Bags
    Dask Distributed
    What Are Data Pipelines? What Is Dag?
    Luigi And Airflow: A Comparison
    First Steps With Luigi
    More Complex Luigi Tasks
    Introduction To Hadoop
    First Steps With Airflow
    Custom Tasks With Airflow
    Advanced Airflow: Subdags And Branches
    Using Luigi With Hadoop
    Apache Spark
    Apache Spark Streaming
    Django Channels
    And Many More
    Introduction To Testing With Python
    Property-Based Testing With Hypothesis
    What's Next?
    Introduction to PySpark
    Introduction And Course Overview
    About The Author
    Installing Python
    Installing iPython And Using Notebooks
    Download And Setup
    Running The Spark Shell
    Running The Spark Shell With iPython
    What Is A Resilient Distributed Dataset - RDD?
    Reading A Text File
    Actions
    Transformations
    Persisting Data
    Map
    Filter
    Flatmap
    MapPartitions
    MapPartitionsWithIndex
    Sample
    Union
    Intersection
    Distinct
    Cartesian
    Pipe
    Coalesce
    Repartition
    RepartitionAndSortWithinPartitions
    Reduce
    Collect
    Count
    First
    Take
    TakeSample
    TakeOrdered
    SaveAsTextFile
    CountByKey
    ForEach
    GroupByKey
    ReduceByKey
    AggregateByKey
    SortByKey
    Join
    CoGroup
    WholeTextFile
    Pickle Files
    HadoopInputFormat
    HadoopOutputFormat
    Broadcast Variables
    Accumulators
    Using A Custom Accumulator
    Partitioning
    Spark Standalone Cluster
    Mesos
    Yarn
    Client Versus Cluster Mode
    Spark Streaming
    Dataframes And SQL
    MLlib
    Resources And Where To Go From Here
    Wrap Up

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