Web Reference: Dec 12, 2025 · A generator function is a special type of function that returns an iterator object. Instead of using return to send back a single value, generator functions use yield to produce a series of results over time. The function pauses its execution after yield, maintaining its state between iterations. Learn how to create and use generators and the yield statement in Python to work with large datasets, infinite sequences, and data pipelines. See examples, explanations, and advanced methods of generators. Generators allow you to iterate over data without storing the entire dataset in memory. Instead of using return, generators use the yield keyword. The yield keyword is what makes a function a generator. When yield is encountered, the function's state is saved, and the value is returned.
YouTube Excerpt: Python Generators
Information Profile Overview
Generators In Python - Latest Information & Updates 2026 Information & Biography
Details: $36M - $46M
Salary & Income Sources
Career Highlights & Achievements
![21. Generators [Python 3 Programming Tutorials] Wealth](https://i.ytimg.com/vi/66HNCg7_gfE/mqdefault.jpg)
Assets, Properties & Investments
This section covers known assets, real estate holdings, luxury vehicles, and investment portfolios. Data is compiled from public records, financial disclosures, and verified media reports.
Last Updated: April 3, 2026
Information Outlook & Future Earnings
Disclaimer: Disclaimer: Information provided here is based on publicly available data, media reports, and online sources. Actual details may vary.