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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
03_008 Restructure get_objects Implementation
03_008 Restructure get_objects Implementation
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21.12.15
03_015 functional_vs_oop.pdf
03_015 functional_vs_oop.pdf
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21.12.15
03_015 links.pdf
03_015 links.pdf
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21.12.15
03_016 why_software_testing.pdf
03_016 why_software_testing.pdf
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21.12.15
03_019 quick and dirty solution - functional.ipynb
03_019 quick and dirty solution - functional.ipynb
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21.12.15
03_020 restructure_get_objects.pdf
03_020 restructure_get_objects.pdf
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21.12.15
03_021 quick and dirty solution - restructure get objects
03_021 quick and dirty solution - restructure get objects
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21.12.15
04_001 Design Principles OOP
04_001 Design Principles OOP
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21.12.15
04_002 More Requirements - Configuration, Meta Data, Logg...
04_002 More Requirements - Configuration, Meta Data, Logging, Exceptions, Entrypoint
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21.12.15
04_003 Meta Data_ return_date_list Quick and Dirty
04_003 Meta Data_ return_date_list Quick and Dirty
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21.12.15
04_004 Meta Data_ return_date_list Function
04_004 Meta Data_ return_date_list Function
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21.12.15
04_005 Meta Data_ update_meta_file
04_005 Meta Data_ update_meta_file
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21.12.15
04_006 Code Design - Class design, methods, attributes, a...
04_006 Code Design - Class design, methods, attributes, arguments
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21.12.15
04_007 Comparison Functional Programming and OOP
04_007 Comparison Functional Programming and OOP
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21.12.15
04_022 design_principles_oop.pdf
04_022 design_principles_oop.pdf
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21.12.15
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