Python Celery for Distributed Tasks and Parallel Programming

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文件数目:43个文件
文件大小:552.21 MB
收录时间:2025-09-14
访问次数:1
相关内容:PythonCeleryDistributedTasksParallelProgramming
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  • 5. Working with Celery Pipeline Framework/4. Another Celery Example, Calculate Bank Interest.mp4
    47.14 MB
  • 4. Working with Spark Data Frames/5. Group by and sorting.mp4
    42.13 MB
  • 5. Working with Celery Pipeline Framework/5. Adding more Queues and Workers.mp4
    41.2 MB
  • 4. Working with Spark Data Frames/4. Working with user defined functions.mp4
    37.92 MB
  • 2. Course Lap Setup/1. Install Oracle client on ubuntu and install cx_Oracle library.mp4
    37.53 MB
  • 2. Course Lap Setup/4. Install celery pipeline framework.mp4
    37.04 MB
  • 4. Working with Spark Data Frames/3. Spark Data frames basics.mp4
    34.85 MB
  • 3. Working with Pandas Data Frames/1. Introduction to data frames.mp4
    34.01 MB
  • 3. Working with Pandas Data Frames/5. Merging data frames and use apply function.mp4
    32.34 MB
  • 2. Course Lap Setup/2. Install Spark and pandas 1.mp4
    26.67 MB
  • 5. Working with Celery Pipeline Framework/3. Using celery to call Send SMS Function.mp4
    25.37 MB
  • 4. Working with Spark Data Frames/1. Loading data from Oracle to Spark Data frame.mp4
    24.18 MB
  • 3. Working with Pandas Data Frames/2. Working with index.mp4
    24.03 MB
  • 2. Course Lap Setup/3. Install Spark and pandas 2.mp4
    20.68 MB
  • 3. Working with Pandas Data Frames/3. Selecting from data frames.mp4
    18.77 MB
  • 5. Working with Celery Pipeline Framework/2. Using Oracle Queue to call Send SMS Web Service.mp4
    17.58 MB
  • 3. Working with Pandas Data Frames/4. Grouping and sorting data in data frames.mp4
    15.22 MB
  • 5. Working with Celery Pipeline Framework/1. When Using Queues.mp4
    14.03 MB
  • 4. Working with Spark Data Frames/2. Loading data from Oracle to Spark Data frame 2.mp4
    13.66 MB
  • 1. Start Here/1. Introduction.mp4
    4.96 MB
  • 4. Working with Spark Data Frames/6. Pandas and Spark Quiz.mp4
    1.03 MB
  • 6. Bouns Section/1. Using Kafka JDBC Connector with Oracle DB (Doc Only).mp4
    1.03 MB
  • 2. Course Lap Setup/4.1 InstallCelery.pdf
    244.56 KB
  • 6. Bouns Section/1.3 Kafka_With_Oracle.pdf
    235.71 KB
  • 4. Working with Spark Data Frames/7. Quiz Answer.mp4
    145.76 KB
  • 4. Working with Spark Data Frames/6.1 Quiz.pptx
    132.09 KB
  • 2. Course Lap Setup/2.1 InstallSpark.pdf
    33.76 KB
  • 2. Course Lap Setup/1.1 OraClient_ubunto.pdf
    31.27 KB
  • 3. Working with Pandas Data Frames/1.1 Pandas+Lec1.zip
    5.83 KB
  • 5. Working with Celery Pipeline Framework/4.1 Bank_Interest.zip
    4.5 KB
  • 4. Working with Spark Data Frames/6.2 QuizCSV.csv
    4.43 KB
  • 5. Working with Celery Pipeline Framework/5.1 Adding more workers.zip
    4.17 KB
  • 4. Working with Spark Data Frames/5.1 SparkGroupby.zip
    4.09 KB
  • 5. Working with Celery Pipeline Framework/2.1 Oracle_Queues.SQL
    3.83 KB
  • 3. Working with Pandas Data Frames/5.1 Pandas Merge and using apply function.zip
    3.52 KB
  • 4. Working with Spark Data Frames/3.1 Spark.zip
    3.49 KB
  • 4. Working with Spark Data Frames/7.1 bankdata.py
    2.17 KB
  • 6. Bouns Section/1.2 Script.txt
    1.66 KB
  • 4. Working with Spark Data Frames/4.1 TestUDF.py
    1.5 KB
  • 3. Working with Pandas Data Frames/4.1 Pandas group by and sort.zip
    1.33 KB
  • 6. Bouns Section/1.1 Oracle_Consumer.py
    1.21 KB
  • 5. Working with Celery Pipeline Framework/3.1 Celery_SMS.zip
    1.07 KB
  • 4. Working with Spark Data Frames/1.1 SparkOracle.py
    743 Bytes
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