Functions In Python | Python Functions Tutorial | Python Functions | Python For Beginners
Functions In Python | Python Functions Tutorial | Python Functions | Python For Beginners
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Explore the powerful tools in Python for functional programming with our in-depth tutorial on Lambda, Map, Filter, and Reduce functions, brought to you by upGrad. This video is designed to help you understand these essential concepts, enabling you to write more concise, readable, and efficient code.
Begin with a comprehensive overview of list comprehensions, a Pythonic way to create lists in a single line of code. Learn how list comprehensions simplify your code by eliminating the need for explicit loops, making your code cleaner and more readable.
Objectives :
1. What is list Comprehension?
2. What is Map, Filter and Reduce Function?
3. What is Lambda Expression?
4. What is Closure and Decorators ?
Understanding Map, Filter, and Reduce Functions:
Map Function: Learn how the Map function applies a given function to all items in an input list (or any iterable) and returns a new list of results. Understand its syntax and see examples that demonstrate its use in various scenarios.
Filter Function: Discover how the Filter function creates a new list of elements for which a given function returns True. This is particularly useful for data cleaning and selection tasks.
Reduce Function: Understand the Reduce function, which applies a rolling computation to sequential pairs of values in a list, reducing it to a single cumulative value. This is ideal for tasks like summing a list of numbers or combining a list of strings.
Learn about Lambda expressions, or anonymous functions, which are used to create small, single-use functions without a formal function definition. Discover their syntax and see how they can be used effectively with Map, Filter, and Reduce to simplify your code further.
Exploring Closures and Decorators:
Closures: Understand what closures are and how they capture and carry some data with them when they are called. Learn how closures can be used to create function factories and maintain state across function calls.
Decorators: Discover the power of decorators, a design pattern in Python that allows you to add new functionality to an existing object without modifying its structure. Learn how to create and apply decorators to functions to enhance their behavior.
Whether you’re a beginner or looking to deepen your Python skills, this tutorial provides all the insights and techniques needed to master these powerful functional programming tools. Watch now and elevate your Python programming expertise with upGrad!
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Key Moments :
01:07 - Agenda
01:57 - List Comprehension
03:16 - Range Function
03:45 - For Loop
08:18 - Creating a List Comprehension
10:47 - The List Comprehension
11:41 - Discrete Comprehension
21:02 - Mapreduce and Filter Function
22:09 - Map Function
24:25 - Reduce Function
26:39 - Map Function
31:50 - Filter Function
41:07 - Lambda Functions in Python
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