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Step-by-Step Guide to Reading Different Files in Python

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 In the world of data science, automation, and general programming, working with files is unavoidable. Whether you’re dealing with CSV reports, JSON APIs, Excel sheets, or text logs, Python provides rich and easy-to-use libraries for reading different file formats. In this guide, we’ll explore how to read different files in Python , with code examples and best practices. 1. Reading Text Files ( .txt ) Text files are the simplest form of files. Python’s built-in open() function handles them effortlessly. Example: # Open and read a text file with open ( "sample.txt" , "r" ) as file: content = file.read() print (content) Explanation: "r" mode means read . with open() automatically closes the file when done. Best Practice: Always use with to handle files to avoid memory leaks. 2. Reading CSV Files ( .csv ) CSV files are widely used for storing tabular data. Python has a built-in csv module and a powerful pandas library. Using cs...

How to Write Lambda Function Quickly in Python: 5 Examples

Here are the top python lambda function examples for your project and interviews. "Python's lambda functions are a powerful way to create small, anonymous functions on the fly. In this post, we'll explore some examples of how to use lambda functions in Python.


5 Best Python Lambda Function Examples


Lambda in python


#1 Sorting a List of Tuples by the Second Element

This lambda function sorts a list of tuples based on the second element of each tuple.


python code

my_list = [(1, 2), (4, 1), (9, 10), (13, 6), (5, 7)]

sorted_list = sorted(my_list, key=lambda x: x[1])

print(sorted_list)


Output:


[(4, 1), (1, 2), (13, 6), (5, 7), (9, 10)]

** Process exited - Return Code: 0 **

Press Enter to exit terminal


#2 Finding the Maximum Value in a List of Dictionaries

This lambda function finds the maximum value in a list of dictionaries based on a specific key.


python code

my_list = [{'name': 'Alice', 'age': 25}, {'name': 'Bob', 'age': 30}, {'name': 'Charlie', 'age': 20}]

max_age = max(my_list, key=lambda x: x['age'])

print(max_age)


Output:

{'name': 'Bob', 'age': 30}


** Process exited - Return Code: 0 **

Press Enter to exit terminal


#3 Multiplying Two Lists Element-Wise

This lambda function multiplies two lists element-wise and returns the result as a new list.


python code

list1 = [1, 2, 3, 4]

list2 = [5, 6, 7, 8]

result = list(map(lambda x, y: x * y, list1, list2))

print(result)

Output:


[5, 12, 21, 32]

** Process exited - Return Code: 0 **

Press Enter to exit terminal


#4 Filtering a List of Integers

This lambda function filters a list of integers and returns only the even numbers.


python code

my_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

even_numbers = list(filter(lambda x: x % 2 == 0, my_list))

print(even_numbers)

Output:


[2, 4, 6, 8, 10]

** Process exited - Return Code: 0 **

Press Enter to exit terminal


#5 Creating a Function That Returns a Function

This lambda function creates a function that returns another function that adds a constant value to its input.


python code

def add_constant(const):

    return lambda x: x + const


add5 = add_constant(5)

add10 = add_constant(10)


print(add5(3))

print(add10(3))


Output:

8

13


** Process exited - Return Code: 0 **

Press Enter to exit terminal


In the above example, add_constant is a function that returns a lambda function that adds the constant value to its input. add5 and add10 are two different functions that add 5 and 10 to their input, respectively.

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