July 16 2020

Python Celery for Distributed Tasks and Parallel Programming

Python Celery for Distributed Tasks and Parallel Programming
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 lectures (3 hour, 4 mins) | Size: 552 MB

This will enhance the performance, as the functions will be executed in parallel not in sequence as traditional programming executing.

What you'll learn

Pandas and spark for data analysis

Using Queus for parallel programing

Python celery as pipeline framework

Using Kafka JDBC Connector with Oracle DB


Basic knowledge of python and SQL


The aim of this course is learning programming techniques to process and analyze data

Data Analysis

Will learn how to load from different data sources (database/files) into data frames, Will learn both pandas data frame and spark date frame

Will learn how to analyze the data (select, filtering, grouping and sorting) These operations will be done without hit the database which Make our analysis extremely faster

Parallel Programming

Insert the functions that need to be called as tasks in queues to be executed in the background while the main program still

Who this course is for:

Python and Oracle developers and students




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