Python String Behavior: Understanding Operator Precedence

🚀 Python Journey — Day 15 | Advanced List Logic with Functions Today I continued practicing functions by solving more advanced list-based logical problems. Problems I solved : • Find second largest number in a list • Find second smallest number in a list • Copy elements from one list to another • Print all prime numbers from a list • Replace all zero values with a given number • Check whether all elements in a list are same • Find frequency of all elements in a list • Flatten a nested list into a single list • Split a list into even and odd lists • Find pairs of elements with a given sum • Remove all odd numbers from a list • Remove all even numbers from a list • Multiply all list elements by a fixed number • Find difference between maximum and minimum values • Check whether a list is empty I implemented these problems using functions, loops, and conditional logic to strengthen my understanding of advanced list manipulation and structured problem solving. Thanks to Rudra Sravan kumar sir for the guidance and continuous support. Learning daily and getting more confident On to Day 16 #Python #PythonDeveloper #LogicBuilding #10000Coders #Coding #LearningJourney #ProblemSolving #CodeEveryDay #KeepLearning

After years of coding, I've come to accept the universal truth of debugging: It's always the data type. You spend 45 minutes convinced your logic is broken. You check the function over and over again. You rewrite it once or twice. You question your career choices. You think about buying a flight far far away where python is just a snake… Then you check the data type and go: ...oh. It's a string. It's been a string this whole time. Not whatever you were absolutely certain it was. The function was fine. The logic was fine. I've started treating it not as a mistake, but more as a lesson. It’s a reminder that assumptions are the enemy and every part of the code needs to be checked. #Programming #coding #TechHumor #DataEngineering #Python #DebuggingLife #CodeNewbie

Utilizing the Math Module for Square Roots and Factorials Modules in Python are essential for code organization and reusability, and the `math` module serves as a built-in resource that provides a variety of mathematical functions. When you import a module, you bring a toolkit of pre-defined functions, constants, and classes into your workspace, simplifying complex tasks without needing to rewrite code. In the example above, we leverage the `math` module to perform two mathematical operations: calculating the square root and finding the factorial. The `math.sqrt()` function efficiently computes the square root of a number, while `math.factorial()` finds the factorial of a given integer. These built-in functions illustrate how you can significantly simplify coding tasks by utilizing existing libraries. Importing a module is straightforward with the `import` keyword, and functions within the module are accessed via dot notation. This allows for easy calls like `math.sqrt()` and `math.factorial()` after importing `math`. Understanding this concept encourages the use of Python's built-in capabilities, enhancing both maintainability and readability of your code. Additionally, you can create your own modules. This feature lets you encapsulate related functions and classes, making your code reusable across different projects. Writing modular code not only keeps your main script clean but also facilitates collaboration, allowing others to navigate your code structure more easily. Quick challenge: What would you need to change in the code if you wanted to find the natural logarithm instead? #WhatImReadingToday #Python #PythonProgramming #Modules #CodeReuse #Programming

🧠 Strengthening my Python fundamentals today. Object-Oriented Programming is one of the most important concepts for writing clean and scalable software. While revising Python, I explored some core OOP concepts that every developer should understand. Here are 5 important ones: 🔹 Encapsulation – Protect data and control access using methods. 🔹 Inheritance – Reuse code by allowing child classes to inherit from parent classes. 🔹 Polymorphism – One method can behave differently depending on the object. 🔹 Duck Typing – Python focuses on what an object can do, not its type. 🔹 Magic Methods – Special methods like __init__() and __str__() customize object behavior. Understanding these concepts helps in writing cleaner, reusable and maintainable code, especially while building backend systems. Always learning, always improving 🚀 #Python #OOP #Programming #SoftwareDevelopment #LearnInPublic

While practising LeetCode problems, one thing I’ve been actively working on is understanding the flow of my code, not just getting the right answer. Sometimes, the real challenge isn’t writing the code — it’s debugging and visualising what’s actually happening step by step. That’s where a tool like Python Tutor has been super helpful for me. 🔍 It lets you: - Visualise code execution line by line - See how variables change in real time - Understand pointers, loops, and data structures clearly - Debug logic errors more effectively Instead of guessing what’s happening inside the program, you can literally see it unfold. For example, when working on array problems (like removing duplicates or two-pointer approaches), this tool makes it much easier to track how indices move and how values are updated. 💡 If you're someone preparing for coding interviews or improving problem-solving skills, this is definitely worth checking out: https://lnkd.in/g4W9Uibe A simple tool, but a powerful way to build deeper intuition. 🚀 #LeetCode #Python #CodingInterview #Debugging #Learning #SoftwareEngineering

🚀 Day 116 – First Non-Repeating Character (with Index) | Python Practice Today I worked on a classic string problem: 🔎 Problem: Find the first non-repeating character in a string and return its index position. 💡 Approach Used: Convert the string into a list. Loop through each character. Use count() to check frequency. If frequency is 1, return the character along with its index. If no unique character exists, return -1. 🧠 Key Learning: Understanding how string traversal and frequency counting works helps strengthen problem-solving fundamentals. Even simple problems improve logical thinking and code clarity. 📌 Test Cases: ✔ "aaaassdee" → First non-repeating character found ✔ "aa" → No non-repeating character ✔ "brbrbrbrf" → f at the last index Consistency over perfection. 116 days of coding discipline 💪🔥 #Day116 #Python #CodingJourney #ProblemSolving #100DaysOfCode #Programming #DeveloperGrowth Rudra Sravan kumar Sagar Bomburi 10000 Coders

Learning to code isn’t just about syntax—it’s about problem-solving, creating, and thinking like a developer. Whether you’re diving into Python, sharpening your C++, or finally tackling JavaScript, your path starts here. Our books don’t just teach programming languages—they train you to build real software, debug like a pro, and understand how your code fits into the bigger system. Hands-on projects. Real-world examples. Skills that stick. Because the best way to learn code… is to write it. #RheinwerkComputingBlog #LearnToCode #Python #JavaScript #Java #CPP #ProgrammingSkills Explore our titles here: https://hubs.la/Q0458d110

Day 14 🔥 — Python Problem Solving Practice Continuing my daily coding journey, today I focused on nested loop problems and improving my understanding of how to handle data step by step. Today’s practice helped me become more clear about how loops work inside loops and how to control them properly. Problems Practiced: • Transpose of a Matrix (columns becomes rows) • Unique Pair Combinations from a List • Common Characters Between Two Strings Concepts Practiced: • Nested loops (loop inside loop) • Working with 2D data (rows and columns) • Avoiding duplicate pairs using index logic • Comparing elements step by step • Understanding how data flows inside loops Today’s learning made me realize that nested loops are not difficult if we think in a simple way: “for each element, check with others”. This thinking is helping me solve problems more confidently without copying code. venubabu vajja 10000 Coders Rudra Sravan kumar #Python #ProblemSolving #CodingPractice #10KCoders #DeveloperJourney

Day 64 of My Daily Problem-Solving Journey Today I solved Check If Binary String Has at Most One Segment of Ones on LeetCode. 📌Problem Overview The task is to determine whether a given binary string contains at most one contiguous segment of '1's. If multiple segments of '1's appear separated by '0's, the condition is violated and the result should be false. Approach & Key Insight While analyzing the problem, I focused on identifying patterns within the binary string. A simple yet effective observation is that the occurrence of the pattern "01" indicates the end of a continuous block of '1's. If another '1' appears later in the string, it forms a new segment of ones. By leveraging this pattern recognition, the solution becomes straightforward and efficient without needing complex logic or additional data structures. Concepts Practiced String pattern analysis Logical reasoning for edge cases Writing clean and efficient conditional checks Learning Reflection This problem highlights how important pattern recognition and logical observation are in programming. Often, a deeper look at the structure of the input can simplify what initially appears to be a complex problem. #Day64 LeetCode PROBLEMSOLVING DSA Python #CodingChallenge SoftwareDevelopment.com LearningJourney Consistency Programming.com

Stop Googling the Basics. 🐍✨ Let’s be real: even after years of coding, we all occasionally forget the exact syntax for a list slice or a dictionary method. I’ve put together this Python Basic Cheatsheet designed to look as sharp as your IDE's dark mode. Whether you’re just starting your journey or you’re a pro who needs a quick visual refresher, this covers the essentials: Data Types & Functions (The bread and butter) List Operations (Indexing made easy) Control Flow (f-strings and loops) Advanced Concepts (Classes, Decorators, and Context Managers) Save this post for the next time you're stuck in a flow state and don't want to break it! #Python #Coding #Programming #SoftwareDevelopment #DataScience #WebDev #TechTips