Exploring Functions vs. Generators in Python Dive into the distinctions between functions and generators in Python. Functions are blocks of reusable code that perform a specific task, whereas generators are a special type of iterable used to generate a sequence of values lazily, conserving memory. Understanding when to use each can optimize your code's efficiency and readability. Pdf credit goes to respective owner Follow Ajay Yadav for more such posts #python #functions #generators #data #analytics
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𝙃𝙚𝙮𝙮 𝙘𝙤𝙣𝙣𝙚𝙘𝙩𝙞𝙤𝙣 ✨ 𝙏𝙤𝙙𝙖𝙮 𝙘𝙤𝙣𝙩𝙚𝙣𝙩 𝙞𝙨 𝙖𝙗𝙤𝙪𝙩 𝙥𝙮𝙩𝙝𝙤𝙣 𝙨𝙩𝙧𝙞𝙣𝙜 𝙢𝙚𝙩𝙝𝙤𝙙... 🚀 📍Python provides a variety of string methods for manipulating and working with strings. 📍It offer additional functionality for handling strings in Python, such as finding indices, counting occurrences, and checking characteristics like being composed of digits, alphabets, whitespace, lowercase, or uppercase characters... #pythonprogramming #strings #developments #skillsdevelopment #pythondeveloper
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The zip function in Python is a powerful yet simple tool that can significantly streamline your code. In this article, we’ll explore five practical and creative uses of the zip function, complete with examples, to help you master this indispensable feature in Python application development. #python #pythonlearning #pythonprogramming #pythontutorial #learningbytutorials
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I completed the 22nd day of the 100 Days of Python challenge. I crafted a Python code that generates a secret number using the randint function from the random library. This enigmatic number resides within the range of 1 to 1,000,000. Users must guess this concealed number. As they submit their guesses, a while loop diligently compares their input with the secret number until the user finds the guess number. #Replit100DaysOfCode #100DaysOfCode #Python Find the guess number game link here: https://lnkd.in/gbbn7VbS
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🔎 Explore the realm of testing in Python with Jessie Newman's enlightening talk from PyLadiesCon! Discover essential strategies and best practices for effective testing. 🔗 Watch the full presentation on our YouTube channel: https://buff.ly/4eQqOO0 #PyLadies #Python
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Day 9/100 - #100DaysOfCode: Python Challenge Today, I built a secret auction program using Python! 🏆💸 Users can enter their bids, and the program automatically determines the highest bidder. It was a great exercise in handling dictionaries and loops to track inputs and identify the winner. Also, I learned how to clear the console for better user experience. Key highlights: ✅ Used dictionaries to store and manage bids ✅ Wrote a function to identify the highest bidder ✅ Improved interaction flow with input validation and control You can check the code here: https://lnkd.in/gTTzQHqe #Python #100DaysOfCode #CodingChallenge #AuctionProgram #LearningByDoing #PythonBeginner
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If you are working with large numbers in Python and you want to improve code readability, consider using underscores. Since Python 3.6, per 'PEP 515 - Underscores in Numeric Literals' proposed to extend Python's syntax and number-from-string constructors so that underscores can be used as visual separators for digit grouping purposes in integral, floating-point, and complex number literals. #python #tips #softwareengineering #softwaredevelopment
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Excited to share a project: introducing the Dab Move Detector! 🚀 Developed using Python 3.9 and leveraging Google's Media-pipe module, this software is designed to recognize the iconic "Dab" move based on user input. But that's not all - it takes it a step further by evaluating the accuracy of the user's execution. A fun and innovative application showcasing the power of Python and machine learning. #Python #MachineLearning #Innovation
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Python Tip of the Day(Day #2) Cleaner Code with List Comprehensions In Python, you can replace traditional loops with list comprehensions to make your code more concise and readable. Here's a simple example: Instead of writing: squares = [] for i in range(10): squares.append(i**2) You can achieve the same with a list comprehension: squares = [i**2 for i in range(10)] It’s concise, efficient and improves readability. Try it out next time you're working with lists! #Python #CleanCode #ProgrammingTips #DataScience #DeveloperLife
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Write a Python program using the map function to multiply each element in a list by 2. Input: def multiply_by_two(x): return x * 2 numbers = [1, 2, 3, 4, 5] doubled_numbers = list(map(multiply_by_two, numbers)) print(doubled_numbers) Output: [2, 4, 6, 8, 10] === Code Execution Successful === 10th day 6👍...
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