Udemy – Writing Production Ready ETL Pipelines in Python / Pandas 2022-04 – Download

Python code development best practices were introduced and applied, including design principles, clean coding, virtual environments, project/folder setup, configuration, logging, exception handling, linting, dependency management, performance optimization with profiling, unit testing, integration testing and dockerization. .

What you will learn in this course:

  • How to write professional ETL pipelines in Python.
  • Steps to write production-level Python code.
  • How to apply functional programming in Data Engineering.
  • How to achieve good object-oriented code design.
  • How to use a meta file for task control.
  • Best coding practices for Python in ETL/Data Engineering.
  • How to implement a pipeline in Python extracting data from an AWS S3 source, transforming and loading the data to another AWS S3 target.

Who should attend :

  • Data engineers, scientists, and developers who want to write professional, production-ready data pipelines in Python.
  • Anyone who wants to write production-ready data pipelines in Python.

Writing Production Ready ETL Pipelines in Python/Pandas Course Specifications:

  • Publisher: Udemy
  • Instructor: Jan Schwarzlose
  • French language
  • Level: All levels
  • Duration: 7 hours and 3 minutes
  • Conferences: 78

Writing production-ready ETL pipelines in Python/Pandas

Requirements:

  • Basic knowledge of Python and Pandas is desirable.
  • Basic knowledge of ETL and AWS S3 is desirable.

Photo of the course:

Writing production-ready ETL pipelines in Python/Pandas

Course introduction video:

Installation guide:

After Extracting, watch with the player of your choice.

Subtitle: English

Quality: 720p

Download links:

Download Part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 499 MB

Password: free download software

Size:

2.48 GB

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