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Lambda Functions in Python

Introduction
Setting Up Your Python Environment
Installing Python and PyCharm IDE Creating and Running Your First Python Program
Python Data Types
Numeric Types String Types Boolean Types None Type
Operators and Expressions
Arithmetic Operators Comparison Operators Logical Operators Bitwise Operators Assignment Operators Operator Precedence
Control Flow Statements
Conditional Statements Loops Break and Continue Statements Exception Handling
Functions and Modules
Defining and Calling Functions Function Arguments and Return Values Lambda Functions Modules and Packages
Python Data Structures
Lists Tuples Dictionaries Sets Arrays
ObjectOriented Programming in Python
Classes and Objects Attributes and Methods Inheritance and Polymorphism Abstract Classes and Interfaces
File Handling
Opening and Closing Files Reading and Writing Text Files Reading and Writing Binary Files CSV Files
Regular Expressions
Basic Regular Expressions and Metacharacters Anchors and Quantifiers Grouping and Capturing Lookarounds
Datetime and Timezones
Date and Time Objects Date and Time Formatting Timezone and Daylight Saving Time Handling
Debugging and Testing
Debugging Techniques Debugging Tools in PyCharm Unit Testing with PyTest
Web Scraping with Python
Requesting Data with urllib Parsing HTML with Beautiful Soup Extracting and Storing Data
Database Handling with Python
Connecting to Databases Performing CRUD Operations Database Access with ORM (ObjectRelational Mapping)
Introduction to Data Science with Python
NumPy Pandas Matplotlib ScikitLearn
GUI Programming with Python
Creating GUI Applications GUI Toolkits (Tkinter, PyQt, wxWidgets)
Network Programming with Python
Socket Programming Creating and Running a Simple Web Server Connecting to APIs
Best Practices and Tips
Python Coding Standards Code Organization Writing Efficient Code Tips and Tricks for Python Development
Conclusion and Next Steps.

Lambda Functions

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In Python, a lambda function is a small and anonymous function that is defined without a name. It is essentially a single-expression function that can be used wherever function objects are required. Lambda functions can have any number of arguments, but they can only have one expression.

The syntax for a lambda function in Python is:

 
                    
lambda arguments: expression

Here, arguments are the arguments to the function, and expression is the single expression that the function returns. The result of the expression is what the lambda function returns.

For example, suppose you want to create a lambda function that squares a given number x.

You could use the following code:

 
                    
square = lambda x: x*x

This defines a lambda function that takes a single argument x and returns the value of x*x.

You can then call the square function like this:

 
                    
result = square(5)
print(result)   # output will be 25

Lambda functions are especially useful when you need to define small, simple functions for use within other functions or operations. They are often used with built-in functions like map(), filter(), and reduce().

March 25, 2023

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