🚀 Day 117 – Recreating Python’s all() Function Today, I practiced understanding Python fundamentals by recreating the built-in all() function from scratch. The goal was simple: return True if all elements in a list are truthy, and False if any element is falsy. This exercise helped me understand an important concept in Python — truthy and falsy values. Values like 0, False, "", None, and empty collections automatically evaluate to False, while most other values evaluate to True. Instead of checking specific values like 0 or "", I learned that using if not value: is a cleaner and more Pythonic approach. 💡 Key takeaway: Rebuilding built-in functions strengthens core programming logic and deepens understanding of how Python works internally. Consistency over perfection. Learning every single day. 🔥 #Day117 #Python #100DaysOfCode #CodingJourney #LearnInPublic Rudra Sravan kumar Sagar Bomburi 10000 Coders
Recreating Python's all() Function in 117 Days
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💡 I didn’t just learn Python… I finally understood how to think like a programmer. A few weeks ago, even simple problems felt confusing. Syntax was one thing — but logic? That was the real challenge. So I decided to fix that. I enrolled in a Python course from GeeksforGeeks — and things started to change. Instead of just watching lectures, I started: Breaking problems into smaller steps 🧩 Practicing consistently 💻 Learning from mistakes (a lot of them 😅) What stood out to me was how the course focused not just on what to code, but how to think while coding. Today, I’m more confident solving problems and writing clean Python code — and honestly, that feels like a big win. This is just the beginning 🚀 If you're starting your coding journey, don’t just chase syntax — build your thinking. That’s where the real growth happens. #Python #CodingJourney #GeeksforGeeks #LearningByDoing #ProblemSolving #StudentLife
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What I learned today while practicing Python Today’s learning session did not feel like a big achievement. There was no finished project, no breakthrough moment, just small pieces slowly starting to make sense. While practicing Python, I noticed how much programming is less about memorizing syntax and more about learning how to think patiently. A simple problem that looked easy at first took much longer than expected, not because it was difficult, but because my approach was unclear. I realized that coding often teaches persistence more than technology. You try one solution, it fails. You try again, change your logic, read errors carefully, and slowly the program begins to work. These small moments do not look impressive from the outside, but they quietly build confidence. Right now, my focus is not speed but understanding. One concept at a time, one problem at a time. For those learning programming, what helped you the most in the beginning: consistency or curiosity? #Python #CodingJourney #ComputerScience #LearningInPublic #TechStudents
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Understanding the power of mutable objects in Python can transform your coding skills. Discover the key differences between mutable and immutable objects in Python and how to apply this knowledge to improve your coding efficiency. Youll learn how to identify the most common mutable objects in Python, such as lists, dictionaries, and sets, and how to work with them to write more efficient code. Read the full article 👉 https://lnkd.in/du_wmAj7 #Python #Mutability #ITFreshers #SoftwareDevelopment #Networking #TechLab Code. Learn. Build. — TechLab by Neeraj
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Python Basics That Confuse Beginners Explained Simply Scope, lambda, map() & filter() Most beginners struggle with Python, not because it’s hard — But because core concepts aren’t explained clearly. Let’s simplify the four essentials - Scope Scope defines where a variable is accessible. Variables created inside a function stay inside — by design. - lambda For small, one-time operations, you don’t need a full function. Lambda lets you write clean, one-line logic. - map() When the same transformation is needed for every item in a list, map() applies it efficiently — no manual loops. - filter() When you only want specific values based on a condition, filter() keeps what matches and removes the rest. - Python becomes powerful when concepts are understood, not memorized. If you’re learning Python right now, Mastering these four ideas will dramatically improve how you write and read code. #Python #LearnPython #Programming #CodingBasics #SoftwareDevelopment #PythonTips #BeginnerToPro #MapFilterLambda #CleanCode
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Mastering Python Conditionals Can Revolutionize Your Coding Skills Learn how to write elegant and efficient if-else statements in Python to solve real-world problems and build robust software. Discover the power of conditional statements in Python and take your coding skills to the next level with this in-depth guide. Read the full article 👉 https://lnkd.in/dKmfb5iR #Python #Conditionals #ITfreshers #SoftwareEngineering #programmingbasics #TechLab Code. Learn. Build. — TechLab by Neeraj
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What if Python could tell you: “You passed!” or “Sorry, try again”? That’s exactly what this mini Python project does I built a simple Student Result System where: -Student names are stored as keys -Subjects and marks live inside nested dictionaries -Logic decides Pass or Fail, no emotions involved This project isn’t about writing long code. It’s about learning how to think logically: -How data is structured -How loops actually work -How decisions are made in code If you’re a beginner who understands syntax but struggles with “how everything connects.” This kind of project will change your mindset. Code should feel logical, not scary. #Python #LearningPython #BeginnerProjects #ProgrammingLogic #CodingMadeSimple #LearnByBuilding
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🚀 Day 13 of #30DaysOfCode – Understanding Scope in Python Today I worked on the concept of Scope and implemented a program to find the maximum absolute difference between elements in an array. 🔹 Created a Difference class with a private array __elements. 🔹 Implemented the computeDifference() method to calculate the maximum difference between any two numbers. 🔹 Used Python’s built-in max() and min() functions to efficiently compute the result. 💡 Key learning: Understanding scope and access modifiers (like private variables using __) helps control how data is accessed within a class. 📌 Concepts practiced: • Variable scope in classes • Private variables in Python • Working with arrays/lists • Using max() and min() for efficient computation Daily coding practice is helping me strengthen my problem-solving and Python fundamentals. On to the next challenge! 💻 #Python #CodingChallenge #HackerRank #ProblemSolving #LearningJourney #30DaysOfCode
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🚀 Day 33 of My Python Full-Stack Journey 🐍 Today I learned about the Scope of Variables in Python. Variable scope determines where a variable can be accessed within a program. Understanding scope helps in writing cleaner, more organized, and error-free code. 🔹 Types of Variable Scope in Python: • Local Scope – Variables defined inside a function and accessible only within that function. • Global Scope – Variables defined outside functions and accessible throughout the program. • Enclosing Scope – Variables in the outer function that can be accessed by nested functions. • Built-in Scope – Predefined names in Python that are always available (like print(), len(), etc.). 🔹 What I practiced today: • Creating and using local and global variables • Understanding how variables behave inside functions • Learning the LEGB rule (Local, Enclosing, Global, Built-in) • Writing programs to see how scope affects variable access Learning variable scope helps avoid conflicts between variables and improves code readability. Step by step, I’m building a stronger foundation in Python programming. 💻✨ #Python #PythonLearning #FullStackJourney #CodingJourney #LearnPython #DeveloperJourney #100DaysOfCode
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💡 Improving My Python Logic – Practice Journey While learning Python, I realized that strong logic building is very important for programming. Recently, I practiced multiple Python problems based on: ✔️ if–else conditions ✔️ String methods like .isdigit(), .isalpha(), .isalnum() ✔️ .isupper(), .islower(), .isspace() ✔️ String indexing and slicing Solving these problems helped me understand how Python handles strings and conditions in real scenarios. Consistent practice is helping me improve my problem-solving skills step by step. Always open to suggestions and learning from the community. 🚀 #Python #PythonLearning #CodingPractice #ProblemSolving #MCA #SoftwareDeveloper #LearningJourney #Programming
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When I started learning Python, I kept forgetting small but important things… Things like: • Why mutable default arguments break code • When to use is vs == • Differences between shallow & deep copy These small mistakes cost time and caused bugs. So I built a Python Core Cheat Sheet — something I wish I had earlier. It includes everything from basics to advanced topics like concurrency and performance tips. If you’re learning or working with Python, this might help #Python #Learning #Developers #Coding #SoftwareEngineering #Mounesh
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