Lambda Functions
Last updated
What is Lambda Functions?
Lambda functions are anonymous, single-expression functions defined with the lambda keyword. They are used for short, throwaway operations, particularly as arguments to functions like map(), filter(), and Pandas' apply(). For example: df['col'].apply(lambda x: x * 2).
Free resources to learn Lambda Functions
- ArticlePython Lambda
- VideoPython Lambda Functions Explained
More in stage 2: Functions & Methods
Lambda Functions: common questions
Can I learn Lambda Functions in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Lambda Functions in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Lambda Functions tutorial for beginners?
It is lesson 18 of 112 in the free Python for Data Analysis roadmap, in stage 2, Functions & Methods. If you are new to Python for Data Analysis, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.