The Complete Python/PostgreSQL Course 2.0
Last updated on October 27, 2026 1:54 amThe Complete Python/PostgreSQL Course 2.0
★★★★★
$679.00 in stock
Udemy.com
as of November 6, 2026 2:59 am
Take the next step in your Python development by leveraging the power of PostgreSQL and databases!
Created by:
Codestars • over 2 million students worldwide!
Teaching the Next Generation of Coders
Teaching the Next Generation of Coders
Created by:
Jose Salvatierra
Founder of Teclado and Software Engineer
Founder of Teclado and Software Engineer
Created by:
Teclado by Jose Salvatierra
Software Development For Everyone
Software Development For Everyone
Rating:4.75 (2015reviews)
15484students enrolled
What Will I Learn?
- How to leverage the power of databases (in-memory, SQLite, and PostgreSQL) to upgrade your Python applications
- Prevent common pitfalls: avoid SQL injection attacks, store database credentials securely, and optimize the performance of your applications
- Understand how databases work and how to take advantage of their features from the ground up, by building multiple projects
- This is a no-nonsense, no-frills course on fully mastering PostgreSQL and how to use it effective within and outside of your Python apps
- Learn how to work with dates and times effectively in Python applications
- Produce engaging charts, graphs, and reports using database data
Requirements
- Foundational Python knowledge is required (a Python refresher is provided), as the course focuses on using PostgreSQL with Python
- A Python editor or IDE, such as Visual Studio Code or PyCharm
- You don't need to install anything more for this course, everything we do is on the cloud (although guidance to do it locally is also provided)
Target audience
- Beginner Python developers who want to take the next step in upgrading their applications by leveraging the power of databases.
- Any Python developer who is not familiar with databases and wants to fully understand their choices before using one in their applications
- Business analysis and data scientists who want to create larger applications or interact with larger data sets through a database


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