Python Celery for Distributed Tasks and Parallel Programming
File List
- 5. Working with Celery Pipeline Framework/4. Another Celery Example, Calculate Bank Interest.mp4 47.1 MB
- 4. Working with Spark Data Frames/5. Group by and sorting.mp4 42.1 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 37.9 MB
- 2. Course Lap Setup/1. Install Oracle client on ubuntu and install cx_Oracle library.mp4 37.5 MB
- 2. Course Lap Setup/4. Install celery pipeline framework.mp4 37.0 MB
- 4. Working with Spark Data Frames/3. Spark Data frames basics.mp4 34.8 MB
- 3. Working with Pandas Data Frames/1. Introduction to data frames.mp4 34.0 MB
- 3. Working with Pandas Data Frames/5. Merging data frames and use apply function.mp4 32.3 MB
- 2. Course Lap Setup/2. Install Spark and pandas 1.mp4 26.7 MB
- 5. Working with Celery Pipeline Framework/3. Using celery to call Send SMS Function.mp4 25.4 MB
- 4. Working with Spark Data Frames/1. Loading data from Oracle to Spark Data frame.mp4 24.2 MB
- 3. Working with Pandas Data Frames/2. Working with index.mp4 24.0 MB
- 2. Course Lap Setup/3. Install Spark and pandas 2.mp4 20.7 MB
- 3. Working with Pandas Data Frames/3. Selecting from data frames.mp4 18.8 MB
- 5. Working with Celery Pipeline Framework/2. Using Oracle Queue to call Send SMS Web Service.mp4 17.6 MB
- 3. Working with Pandas Data Frames/4. Grouping and sorting data in data frames.mp4 15.2 MB
- 5. Working with Celery Pipeline Framework/1. When Using Queues.mp4 14.0 MB
- 4. Working with Spark Data Frames/2. Loading data from Oracle to Spark Data frame 2.mp4 13.7 MB
- 1. Start Here/1. Introduction.mp4 5.0 MB
- 4. Working with Spark Data Frames/6. Pandas and Spark Quiz.mp4 1.0 MB
- 6. Bouns Section/1. Using Kafka JDBC Connector with Oracle DB (Doc Only).mp4 1.0 MB
- 2. Course Lap Setup/4.1 InstallCelery.pdf 244.6 KB
- 6. Bouns Section/1.3 Kafka_With_Oracle.pdf 235.7 KB
- 4. Working with Spark Data Frames/7. Quiz Answer.mp4 145.8 KB
- 4. Working with Spark Data Frames/6.1 Quiz.pptx 132.1 KB
- 2. Course Lap Setup/2.1 InstallSpark.pdf 33.8 KB
- 2. Course Lap Setup/1.1 OraClient_ubunto.pdf 31.3 KB
- 3. Working with Pandas Data Frames/1.1 Pandas+Lec1.zip 5.8 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 4.4 KB
- 5. Working with Celery Pipeline Framework/5.1 Adding more workers.zip 4.2 KB
- 4. Working with Spark Data Frames/5.1 SparkGroupby.zip 4.1 KB
- 5. Working with Celery Pipeline Framework/2.1 Oracle_Queues.SQL 3.8 KB
- 3. Working with Pandas Data Frames/5.1 Pandas Merge and using apply function.zip 3.5 KB
- 4. Working with Spark Data Frames/3.1 Spark.zip 3.5 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 1.3 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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