Python Celery for Distributed Tasks and Parallel Programming

磁力链接/BT种子名称

Python Celery for Distributed Tasks and Parallel Programming

磁力链接/BT种子简介

种子哈希：a2935621d322aab273d6c3389a60989de9ce8096
文件大小：552.21M
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收录时间：2025-01-24
最近下载：2025-10-14

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文件列表

  • 5. Working with Celery Pipeline Framework/4. Another Celery Example, Calculate Bank Interest.mp4 49.4 MB
  • 4. Working with Spark Data Frames/5. Group by and sorting.mp4 44.2 MB
  • 5. Working with Celery Pipeline Framework/5. Adding more Queues and Workers.mp4 43.2 MB
  • 4. Working with Spark Data Frames/4. Working with user defined functions.mp4 39.8 MB
  • 2. Course Lap Setup/1. Install Oracle client on ubuntu and install cx_Oracle library.mp4 39.3 MB
  • 2. Course Lap Setup/4. Install celery pipeline framework.mp4 38.8 MB
  • 4. Working with Spark Data Frames/3. Spark Data frames basics.mp4 36.5 MB
  • 3. Working with Pandas Data Frames/1. Introduction to data frames.mp4 35.7 MB
  • 3. Working with Pandas Data Frames/5. Merging data frames and use apply function.mp4 33.9 MB
  • 2. Course Lap Setup/2. Install Spark and pandas 1.mp4 28.0 MB
  • 5. Working with Celery Pipeline Framework/3. Using celery to call Send SMS Function.mp4 26.6 MB
  • 4. Working with Spark Data Frames/1. Loading data from Oracle to Spark Data frame.mp4 25.4 MB
  • 3. Working with Pandas Data Frames/2. Working with index.mp4 25.2 MB
  • 2. Course Lap Setup/3. Install Spark and pandas 2.mp4 21.7 MB
  • 3. Working with Pandas Data Frames/3. Selecting from data frames.mp4 19.7 MB
  • 5. Working with Celery Pipeline Framework/2. Using Oracle Queue to call Send SMS Web Service.mp4 18.4 MB
  • 3. Working with Pandas Data Frames/4. Grouping and sorting data in data frames.mp4 16.0 MB
  • 5. Working with Celery Pipeline Framework/1. When Using Queues.mp4 14.7 MB
  • 4. Working with Spark Data Frames/2. Loading data from Oracle to Spark Data frame 2.mp4 14.3 MB
  • 1. Start Here/1. Introduction.mp4 5.2 MB
  • 4. Working with Spark Data Frames/6. Pandas and Spark Quiz.mp4 1.1 MB
  • 6. Bouns Section/1. Using Kafka JDBC Connector with Oracle DB (Doc Only).mp4 1.1 MB
  • 2. Course Lap Setup/4.1 InstallCelery.pdf 250.4 kB
  • 6. Bouns Section/1.3 Kafka_With_Oracle.pdf 241.4 kB
  • 4. Working with Spark Data Frames/7. Quiz Answer.mp4 149.3 kB
  • 4. Working with Spark Data Frames/6.1 Quiz.pptx 135.3 kB
  • 2. Course Lap Setup/2.1 InstallSpark.pdf 34.6 kB
  • 2. Course Lap Setup/1.1 OraClient_ubunto.pdf 32.0 kB
  • 3. Working with Pandas Data Frames/1.1 Pandas+Lec1.zip 6.0 kB
  • 5. Working with Celery Pipeline Framework/4.1 Bank_Interest.zip 4.6 kB
  • 4. Working with Spark Data Frames/6.2 QuizCSV.csv 4.5 kB
  • 5. Working with Celery Pipeline Framework/5.1 Adding more workers.zip 4.3 kB
  • 4. Working with Spark Data Frames/5.1 SparkGroupby.zip 4.2 kB
  • 5. Working with Celery Pipeline Framework/2.1 Oracle_Queues.SQL 3.9 kB
  • 3. Working with Pandas Data Frames/5.1 Pandas Merge and using apply function.zip 3.6 kB
  • 4. Working with Spark Data Frames/3.1 Spark.zip 3.6 kB
  • 4. Working with Spark Data Frames/7.1 bankdata.py 2.2 kB
  • 6. Bouns Section/1.2 Script.txt 1.7 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 1.4 kB
  • 6. Bouns Section/1.1 Oracle_Consumer.py 1.2 kB
  • 5. Working with Celery Pipeline Framework/3.1 Celery_SMS.zip 1.1 kB
  • 4. Working with Spark Data Frames/1.1 SparkOracle.py 743 Bytes

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