Install PostgreSQL 17 | Set Up pgAdmin on Windows | Python Pandas Tutorial for Data Engineering

Welcome to ITVersity’s ‘Data Analysis Using Pandas’ series, your go-to resource for mastering data analysis and database integration!

In this video, we provide a comprehensive, step-by-step guide to installing and setting up PostgreSQL 17 along with pgAdmin on Windows. Whether you’re working on a data science project or a web application, having a reliable and robust database like Postgres is essential for managing and analyzing your data.

*What You’ll Learn in This Video:*

✅ How to download and install PostgreSQL 17 on Windows.
✅ Setting up pgAdmin, a powerful GUI tool for managing Postgres databases.
✅ Configuring the default port and creating a superuser with a secure password.
✅ Verifying PostgreSQL services using Task Manager and Services.
✅ Managing PostgreSQL startup settings (Automatic vs. Manual).
✅ Best practices to ensure Postgres runs smoothly on your system.

This tutorial ensures you can set up a fully functional PostgreSQL environment without issues, empowering you to integrate it seamlessly with Python and Pandas in upcoming videos.

*Why This Video Matters:*

Setting up PostgreSQL is a critical step for anyone working with relational databases, data engineering, or data science workflows. A proper installation ensures your database operates efficiently, providing a strong foundation for storing, querying, and analyzing data.

For Mac Users:

While this tutorial focuses on Windows, the installation process is similar for Mac users. If you encounter any issues, feel free to reach out for support!

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*What’s Next?*
In upcoming videos, we’ll explore additional file formats and advanced data manipulation techniques. Stay tuned to master the full capabilities of Python Pandas!

Stay tuned for more tutorials in this series as we integrate PostgreSQL with Pandas for powerful data analysis!

Connect with Us:

#DataEngineering #Pandas #Python #Analytics #DataAnalysis #Programming

[MonsterE]

sir what is difference between data Engineering course in Udemy And Youtube.
I have seen all videos are available on your YouTube channel.
Or there any other content on Udemy