Python Celery for Distributed Tasks and Parallel Programming

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

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