Python for Data Engineers in 1 HOUR! Full Course + Programming Tutorial
Master Python for data engineering with this full course! This video covers the essentials to kickstart your journey, from basic Python programming to deploying ETL pipelines and managing data quality.
This course covers everything you need to know for data engineering with Python. Starting with an overview of data engineering roles, we set up the Python environment, explore core Python concepts, collections, and file handling. You'll learn data processing with Pandas, numerical computing with NumPy, and handling dates/times in ETL. We dive into API integration, object-oriented programming, and building ETL pipelines. Finally, we address data quality, testing, and deploying Python packages. Concluding with key takeaways and resources for further growth.
Whether you're just starting or aiming to advance as a data engineer, this course provides essential skills and practical examples.
➡️ Full Notebook: https://colab.research.google.com/dri...
➡️Connect with me on LinkedIn: / yash-analytics
➡️ Data Engineer Career Playlist: • Data Engineering Career
Timestamps:
0:00 Introduction
2:50 Setting Up the Python Environment
5:20 Python Basics for Data Engineering
13:00 Python Collections
18:05 File Handling in Python
22:40 Data Processing with Pandas
26:10 Numerical Computing with NumPy
26:10 Working with Dates and Times
33:00 Working with APIs and External Connections
37:40 Object Oriented Programming (OOP)
43:25 Building ETL Pipelines
46:50 Data Quality, Testing, and Code Standards
51:50 Building and Deploying Python Packages
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