Day 78 of #100DaysOfCode: Python Recursion! , Recursion is a technique where a function calls itself to solve problems by breaking them into smaller subproblems. Two classic examples: • Factorial: n! = n × (n-1)! with base case at 0! = 1 • Fibonacci: each term is sum of two previous terms, using base cases for first two numbers GitHub: https://lnkd.in/gcK5rP_n #Python #Coding #100DaysOfCode #Programming #LearnToCode #DevCommunity
Python Recursion: Factorial & Fibonacci Examples
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🐍 Python Mini Challenge Let’s keep it simple but fun 👇 🧠 Challenge: Write a Python program to check whether a number is even or odd. 👉 Example: Input: 7 Output: Odd Input: 10 Output: Even ⚡ Bonus: Take input from the user and handle invalid input (like strings). 💡 Hint: Use the modulus operator "%" 👇 Drop your answers in the comments! #Python #CodingChallenge #Beginners #Programming #LearnToCode
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Day 13 of my #100DaysOfCode challenge Today I explored *higher-order functions* in Python — specifically 'map()' and 'filter()'. Here’s what I learned: - How map() applies a function to every element in a list - Using lambda functions for quick, inline operations - Converting map objects into lists to view results - How filter() helps extract elements based on conditions (like finding odd numbers) It’s amazing how these built-in functions make code more concise and powerful Small steps every day, but they’re adding up! #Python #CodingJourney #LearnToCode #100DaysOfCode #Programming #DeveloperLife #SkillShikshya
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#Day4–5 of My Python Journey | #100DaysOfCode Leveling up my Python basics step by step! 1. Learned about Type Casting (converting strings to integers) 2. Understood the difference between implicit vs explicit conversion 3. Explored how to handle user input using input() 4. Practiced taking multiple inputs and performing calculations One interesting learning Without type casting, numbers taken as input behave like strings (concatenation instead of addition). Small concept, but super important! Consistency is building confidence day by day Excited to dive deeper into Python and start building real projects soon! #Python #100DaysOfCode #CodingJourney #LearnToCode #Programming #TechLearning #DeveloperJourney
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Python basics often seem straightforward, until you explore them in more depth. Recently, I spent time working on strings, functions, lists, and tuples.📜 What stood out is how essential these concepts are for writing efficient and well-structured code. Functions help in organizing logic clearly, while lists and tuples make data handling more flexible and effective. Continuing to strengthen my understanding of core concepts. What Python topic changed your perspective the most?💯 #Python #LearningJourney #Coding
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🤜 Python Challenge #9 – Answer Revealed! '==' checks values, 'is' checks memory. 👉 a == b -> Both lists have same values → True 👉 a is b -> Both are different objects in memory → False Output: True False #python #pythonchallenge #codechallenge #code #pythonlist #pythonbasics #programming #coding #learnpython #100daysofcode
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Most people don’t struggle with Python, they struggle with using it on real data. That’s exactly what this course fixes. In Data Analysis Using Python, you don’t just learn syntax, you actually work with data, clean it, analyze it, and build logic that makes sense. Step by step, from basics to real workflows. If you’ve been stuck watching tutorials without real progress, this is where things start to click. #python #logicstack #dataanalysis #Coding #MachineLearning #datascience #programmers #newera #codingchallenge
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🐍 Mastering Python? Start with the basics that matter. Understanding list methods is a game-changer for writing clean and efficient code. From .append() to .remove() and .reverse(), these small functions help you manipulate data like a pro. 💡 Simple tools. Powerful impact. If you're learning Python, don’t skip these fundamentals—they show up everywhere. #Python #DataAnalytics #CodingBasics #Programming #LearnPython
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🐍 Mastering Python? Start with the basics that matter. Understanding list methods is a game-changer for writing clean and efficient code. From .append() to .remove() and .reverse(), these small functions help you manipulate data like a pro. 💡 Simple tools. Powerful impact. If you're learning Python, don’t skip these fundamentals—they show up everywhere. #Python #DataAnalytics #CodingBasics #Programming #LearnPython
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Python 🐍 3.14.4 Just Released This release includes several break fixes, including a few related to multiprocessing and asyncio subprocesses. For the full list, see as follows. #python #programming #python3144 #asyncio #multiprocessing https://lnkd.in/g-8qUX_Q
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💻 Exploring Recursion in Python 🚀 Today I worked on implementing two classic recursive problems — Factorial and Fibonacci — in Python. At first, small mistakes like typos and function naming issues slowed me down, but debugging them helped me understand recursion much better. 🔁 Key Learnings: • Importance of base conditions in recursion • How recursive calls build up the final result • Debugging is where real learning happens Seeing the Fibonacci output finally work (233 for n=13) was a satisfying moment! 🙌 Step by step, getting closer to mastering problem-solving and logic building. #Python #CodingJourney #Recursion #LearningByDoing #Debugging #100DaysOfCode #DeveloperLife #Programming #TechSkills
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