Python range() Function Basics

📌 NumPy Built-in Methods NumPy provides several built-in functions to quickly create arrays. 🔹 arange() – Creates an array with a range of numbers np.arange(0,10) 🔹 zeros() – Creates an array filled with zeros np.zeros(3) np.zeros((5,5)) → creates a 5×5 matrix of zeros 🔹 ones() – Creates an array filled with ones np.ones(3) np.ones((3,3)) → creates a 3×3 matrix of ones These built-in methods make array creation fast and efficient in NumPy. #Python #NumPy #Programming #DataAnalytics #LearningPython

Closing a chapter. Opening a new mindset. I just wrapped up the final topic of my Python module — and it hit different. This section was all about digit-based programming, and it pushed me to truly think in logic: ✅ Extracting digits from a number ✅ Printing only the odd digits ✅ Finding the sum of digits ✅ Identifying the greatest & smallest digit ✅ Calculating the difference between them ✅ Checking Spy Numbers 🕵️ (sum of digits = product of digits) ✅ Checking Neon Numbers ✨ (square's digit sum = original number) What started as simple number problems turned into a deep dive into loops, conditionals, and number manipulation — the real building blocks of programming logic. This wasn't just about solving problems. It was about learning how to think like a programmer. 💡 Every concept clicked a little more. Every bug fixed made me a little sharper. That's the journey. If you're just starting out in Python — keep going. The small wins stack up. 🚀 #Python #CodingJourney #LearnToCode #PythonProgramming #100DaysOfCode #BeginnerCoder #TechLearning #Programming #GrowthMindset #LinkedInLearning

🐍 Python Conditional Statements — Making Decisions in Code 🌡️ Want your program to react to real situations? Use if-else statements 👇 temperature = 25 if temperature > 22: print("its hot") else: print("its cold") ✅ Output: its hot 💡 How it works: ✔️ if checks the condition ✔️ If TRUE → first block runs ✔️ If FALSE → else block runs 🔥 This is how apps decide things like: • Showing weather alerts • Turning on AC automatically • Sending notifications • Game logic 🚀 Master conditions, and your programs become smart — not just static code. #Python #Coding #Programming #LearnToCode #Developer #100DaysOfCode

Output: [9, 1, 1, 25, 81] 🧠 filter() + map() chained together! Step 1 — filter() keeps only odd numbers: [3, 1, 1, 5, 9] Step 2 — map() squares each one: [9, 1, 1, 25, 81] ✅ A cleaner, Pythonic way using list comprehension: result = [x**2 for x in nums if x % 2 != 0] Same result, more readable! 🎉 #python #pythonprogramming #coding #programming

🚀 Excited to share my new project: **Simple Calculator (Python)** I built a command-line calculator that performs basic operations like addition, subtraction, multiplication, and division. It also includes input validation and divide-by-zero handling. 🔧 Technologies Used: • Python • Functions • Error Handling This project helped me understand program structure and clean function design. 💻 GitHub: https://lnkd.in/gkASWMCw #Python #Programming #StudentProject #Coding #SoftwareDevelopment

🚀 Python Practice Journey – From Basics to Logic Building 🐍 Today I practiced 20 essential Python programs that help build strong programming logic 💡 ✨ Here’s what I covered: 🔢 Print numbers (1–100) ⚡ Even numbers using loops ➕ Sum of first N natural numbers 📊 Multiplication table 🧮 Factorial using loops 🔁 Reverse a number & count digits 📋 Largest & smallest element in list ➕ Sum of list elements ⚖️ Count even & odd numbers 🔄 Reverse list without built-in functions 🚫 Remove duplicates from list 🥈 Second largest element 🔀 Swap two numbers without third variable 🔎 Prime number check 🌟 Armstrong number logic 🔁 Palindrome number check 🧑💻 Simple calculator using operators 💪 Power calculation without ** operator ✅ This practice improved my: • Loop logic • Condition handling • List operations • Problem-solving skills • Basic algorithm thinking Consistency is the key 🔑 — Small practice daily leads to big improvement 🚀 #Python #CodingJourney #Programming #LogicBuilding #PythonPractice #DeveloperLife #LearningInPublic

Day 4/100: Randomness and Data Structures in Python! Today was an exciting day! I shifted from simple variables to Lists, which allowed me to manage collections of data efficiently. I also explored how to make programs unpredictable using the Random module. What I mastered today: The random Module: Generating random integers and floats to create dynamic experiences. Python Lists: Learning how to store, access, and organize data. List Methods: Mastering .append() to add items and .extend() to combine lists. Offset & Indexing: Accessing specific items (and avoiding the famous "Index Out of Range" error!). Daily Project: Rock Paper Scissors Game I built a fully functional Rock Paper Scissors game where the user plays against the computer. It was a great way to combine if-else logic with random.randint(). Check out my code and progress here: https://lnkd.in/eYp3jYs7 #Python #100DaysOfCode #DataStructures #CodingJourney #RockPaperScissors #Programming

🚀 Day-47 of #100DaysOfCode 🐍 Python Pattern Programming – Number Diamond Pattern Today I implemented a Number Diamond Pattern using nested loops and symmetry logic. 🔹 Pattern Highlights: Upper half creates an increasing number diamond pyramid Numbers increase from 1 → i and then decrease back to 1 Lower half mirrors the upper half to form a diamond Proper spacing ensures perfect alignment 🔹 Concepts Practiced: ✔ Nested for loops ✔ Increasing and decreasing sequences ✔ Space alignment logic ✔ Symmetry handling ✔ Pattern visualization 🔹 Approach: First part prints the upper pyramid with mirrored numbers Second part prints the lower inverted pyramid Carefully controlled loops manage both spacing and number flow 🔹 Key Learning: This problem strengthens logical structuring, loop control, and symmetry understanding, which are essential for mastering pattern-based programming and problem-solving skills. Consistency is building confidence, one pattern at a time 💡🔥 #Python #PatternProgramming #NumberDiamondPattern #CorePython #100DaysOfCode #Day47 #LearnPython #CodingPractice #PythonDeveloper

🧠 Python Concept That Explains Class Creation Order: Class Body Execution In Python, a class body is executed like normal code 👀 🤔 The Surprise class Demo: print("Inside class") ✅ Output Inside class Wait… no object created 🤯 But code ran. 🧠 What Actually Happens When Python sees: class Demo: x = 10 It does roughly: 1️⃣ Create namespace dict 2️⃣ Execute class body 3️⃣ Store names in namespace 4️⃣ Build class object 🧪 Proof class Demo: x = 10 y = x + 5 print(Demo.y) # 15 y computed during class creation 🎯 🧒 Simple Explanation 🧸 Imagine building a toy 🧸 Before selling it: 💫 workers assemble parts inside factory. 💫 That assembly = class body execution. 💡 Why This Matters ✔ Metaclasses ✔ Descriptors ✔ Decorators ✔ ORMs ✔ Framework internals ⚡ Fun Fact List comprehensions inside class have their own scope 👀 🐍 In Python, a class isn’t just declared. 🐍 Its body actually runs 🐍 Classes are built by executing code first. #Python #PythonTips #PythonTricks #AdvancedPython #CleanCode #LearnPython #Programming #DeveloperLife #DailyCoding #100DaysOfCode