In this project we are going to learn about lambda expressions and it's application in python. We are going to start with what is Lambda expression and how we can define it, comparing lambda functions with regular functions in python and at the end we will learn how to use lambda functions for data manipulation and exploration in pandas. this guided-project is completely beginner friendly. you only need to have basic knowledge of python programming and some experience coding in Jupyter notebook environment.
Where, Why, and How of Lambda Functions in Python
Learn, practice, and apply job-ready skills with expert guidance
4.8
(22 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Learn about what is lambda expression how to define it
Learn how to apply lambda expressions for data manipulation and exploration
Learn different applications of lambda in python (Lambda expressions and Lists, Lambda expressions and Sorting, ...)
Skills you'll practice
Details to know
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Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to the project
Lambda Expressions and Lists
Lambda Expressions combined with if else statement
Lambda Expression and Sorting
Data Manipulation and Exploration using lambda expressions and pandas
Recommended experience
basic python programming - experienced working with jupyter notebook
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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4.8
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Reviewed on Nov 4, 2021
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