How to Write __str__ and __repr__ in Python for Better Code

PYTHON JOURNEY - Day 17 / 50 !! TOPIC : Nested Loops in Python A loop inside another loop — that’s what we call a nested loop It’s useful for patterns, working with 2D data, and performing repeated actions inside other repetitions. --- Example 1 — Simple Nested Loop for i in range(1, 4): # Outer loop for j in range(1, 3): # Inner loop print(f"i = {i}, j = {j}") Output: i = 1, j = 1 i = 1, j = 2 i = 2, j = 1 i = 2, j = 2 i = 3, j = 1 i = 3, j = 2 --- Example 2 — Printing a Pattern for i in range(1, 6): for j in range(i): print("*", end="") print() Output: * ** *** **** ***** --- Quick Tip: Outer loop controls rows, inner loop controls columns. Be careful with too many nested loops — they slow down programs! --- “Nested loops may look complex, but they build the foundation for pattern printing and matrices!” --- #Python #NestedLoops #LearnPython #PythonPatterns #Coding #Programming #PythonBasics #LinkedInLearning

Problem Solving session– Day 10 After an introductory session on matrices, today we moved into the next level with hands-on implementation of matrix operations in Python at 10000 Coders under Battula Venkata Narayana sir. 🧩 Topics Covered: 🔹 Printing a matrix 🔹 Extracting diagonals & calculating diagonal sums 🔹 Transpose of a matrix 🔹 Row-wise & column-wise sums 🔹 Addition and subtraction of two matrices 🔹 Task: Taking matrix inputs using count-based user input This session gave me deeper clarity on nested loops, indexing, and structured data handling — strengthening my overall problem-solving skills in Python. #10KCoders #Python #ProblemSolving #Matrices #LogicBuilding #CodingJourney #LearningByDoing #ProgrammingBasics #fresherhiring

💻 Python Problem Solving — Day 3 🚀 Today’s focus was all about mastering pattern printing — one of the best ways to strengthen logic building and control over loops in Python. ✅ Patterns I practiced today: Pyramid Reverse Pyramid Diamond Continuous Number Sequence Reversed Continuous Number Sequence Right-Angled Triangle & its Reverse Numbered Right-Angled Triangle & its Reverse These exercises helped me understand nested loops, spacing logic, and how simple iterations can create amazing visual patterns. 📂 You can check all my solutions here: 🔗 https://lnkd.in/grq42QrB #Python #ProblemSolving #LearningJourney #Day3 #CodingChallenge #100DaysOfCode #PythonPatterns #10000coders

🔹 Exploring Pattern Programs in Python 🔹 In today’s video, I focused on one of the most interesting topics in Python — pattern printing. 🌟 Pattern programs are a great way to strengthen logical thinking and improve problem-solving skills. I explained how different types of patterns can be created using loops and conditions. By understanding how nested loops work together, we can design creative patterns such as triangles, squares, and pyramid shapes. 🔺⬜ Along with the concept, I also solved several pattern problems step-by-step to show how small logic changes can completely alter the output design. These problems help in building a strong foundation in loops, conditional statements, and logical flow in Python. #Python #Patterns #PatternPrinting #PythonProgramming #LearnPython #ProblemSolving #Loops #CodingBasics #CodeEveryday

I recently built a tool that converts any image into ASCII art and exports it as a dark-mode PDF It uses Pillow, NumPy, and ReportLab to map each pixel’s brightness to ASCII characters — recreating the entire image using text. Key Highlights: Dark-mode PDF output (looks amazing in Chrome) Customizable character set Monospaced font for clean alignment Lightweight and fast It was fun experimenting with image processing and text rendering in Python. This project really showed how creative programming can get! Check it out on GitHub: [https://lnkd.in/d_JXvKbQ] #Python #Programming #ASCIIArt #OpenSource #Developers #ImageProcessing #ProjectShowcase

Hello Everyone 👋 , 🤔 Is your Python code running slower than you expected? That’s because Python runs on a single core by default. But when your task is CPU-bound (like heavy calculations or simulations), you can unleash your system’s full potential using #ProcessPoolExecutor from concurrent.futures. This method distributes tasks across multiple CPU cores, enabling true parallel processing — and cutting execution time dramatically. ✅ Ideal for: CPU-heavy operations ❌ Avoid for: I/O-bound work (use ThreadPoolExecutor instead) 🔹 Just wrap your loop or function inside ProcessPoolExecutor() and experience the performance boost. Simple. Powerful. Efficient. 💪 Checkout attached docs for example. #contact: navinkpr2000@gmail.com #Python #ProcessPoolExecutor #Concurrency #ParallelComputing #Multiprocessing #Performance #Optimization #CodeTips #PythonDevelopers #Programming #AI #MachineLearning #DataScience #TechCommunity #Developers #crewxdev

🎯Python journey is going in way that never-stopes 🛩️ 📅 practiced some of the patterns in python ⏱️ that are:--------- 🌟 What is a Pattern in Python? 🖋️ A pattern in Python is a visual arrangement of symbols, numbers, or characters printed on the screen using loops. 🖋️ We use loops (for, while) and conditions (if, else) to control how many symbols appear on each line and how they are spaced. 🖋️ Patterns are one of the best ways to learn logic, loops, and nested structures in programming. 🚨 printing stars patterns 🚨 printing hollow patterns 🚨 printing number patterns #patterns #python #skills #logicBuilding #consistency #learnByDoing #10000coders Manoj Kumar Reddy Parlapalli

🚀 Exploring Python List Comprehension! 🐍 Recently, I worked on a few interesting Python programs using list comprehension — a concise and efficient way to create and manipulate lists. Through this project, I implemented tasks like: ✅ Printing alphabets using ASCII values ✅ Finding palindrome numbers between 1–100 ✅ Flattening nested lists into a single list ✅ Extracting words that start with a specific letter This exercise helped me understand how Python simplifies loops and conditions into one elegant line of code! 💡 #Python #Coding #ListComprehension #Learning #AI #Programming #Develope #10000coders 10000 Coders Ajay Miryala

🚀 From Theory to Touch: Bringing Data Structures to Life! 💡 I firmly believe that the true value of what we study lies in its practical application to solve real-world problems. Today, I wrapped up a mini-project that did just that—blending complex Python and C++ logic with hands-on electronics to gain a deeper, more tangible understanding of Data Structures and Algorithms (DSA). This project wasn't just coding; it was about connecting abstract concepts to physical input, and it was incredibly rewarding! 1. 🤚 Hand-Gesture Controlled Circular Linked List I created a live, animated Circular Linked List using Python. The 'input' wasn't a keyboard—it was my right hand fingers! How it worked: I utilized OpenCV, Mediapipe, and NumPy to process my hand's video feed. The number of fingers I showed directly determined the data entered into the circular linked list. The takeaway: This was an engaging way to visualize and truly grasp the continuous loop and traversal nature of a Circular Linked List. #opencv # python #Datastructures#ECE