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Showing posts with the label Lambda Functions

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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...
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How to Write Lambda Function Quickly in Python: 5 Examples

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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 #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': ...
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