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Udemy - Writing production-ready ETL pipelines in Python Pandas 2022-4

Udemy - Writing production-ready ETL pipelines in Python Pandas 2022-4
Total Titles: 151
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DEMOS
01_001 Course Introduction
01_001 Course Introduction
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From: Superadmin
21.12.15
01_002 Links.pdf
01_002 Links.pdf
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21.12.15
01_002 Task Description
01_002 Task Description
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21.12.15
01_003 Production Environment
01_003 Production Environment
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21.12.15
01_003 production_environment.pdf
01_003 production_environment.pdf
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21.12.15
01_004 Task Steps
01_004 Task Steps
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21.12.15
01_004 task_steps.pdf
01_004 task_steps.pdf
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21.12.15
02_001 Why to use a virtual environment_
02_001 Why to use a virtual environment_
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21.12.15
02_002 Virtual Environment Setup
02_002 Virtual Environment Setup
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21.12.15
02_003 AWS Setup
02_003 AWS Setup
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21.12.15
02_004 Understanding the source data
02_004 Understanding the source data
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21.12.15
02_005 Quick and Dirty_ Read multiple files
02_005 Quick and Dirty_ Read multiple files
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From: Superadmin
21.12.15
02_005 why_to_use_a_virtual_environment.pdf
02_005 why_to_use_a_virtual_environment.pdf
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21.12.15
02_006 links.pdf
02_006 links.pdf
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21.12.15
02_006 Quick and Dirty_ Transformations
02_006 Quick and Dirty_ Transformations
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From: Superadmin
21.12.15
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