Valid Parentheses with Python LeetCode Challenge

(DAY- 10) 🚀 Python String Functions Made Simple Understanding string functions is essential for every Python learner. From converting text using "upper()" and "lower()" to modifying and analyzing data with "replace()", "split()", and "find()", these functions help you handle text efficiently in real-world projects. In this post, I’ve covered important Python string functions with clear definitions and examples to make learning easy and practical. 💡 Save this for revision and keep practicing! #Python #Programming #LearnPython #Coding #DataAnalytics

👇 🚀 Day 25 of Python Problem Solving!! Today, I worked on a Python problem to check whether an array contains duplicate elements. 💡 What I Practiced Today: Traversing an array efficiently Using data structures like sets for quick lookup Understanding time complexity (O(n) vs O(n log n)) Comparing different approaches (sorting vs hashing) Handling edge cases like empty arrays or unique elements 🧠 Problem Statement: Given an integer array nums, return true if any value appears more than once in the array, otherwise return false. 📌 Example: Input: nums = [1, 2, 3, 3] Output: true ✨ This problem helped me strengthen my understanding of efficient searching techniques and choosing the right approach to optimize performance — an important skill for coding interviews. #Day 25 #100DaysOfCode #Python #CodingJourney #ProblemSolving #DataStructures #Programming #LearnToCode #TechJourney

🚀 Day 26 of Python Problem Solving!! Today, I worked on a Python problem to check whether two strings are anagrams of each other. 💡 What I Practiced Today: Understanding how to compare two strings efficiently Using dictionaries (hashmaps) for character frequency counting Applying the sorting technique as an alternative approach Analyzing time complexity of different solutions Handling edge cases like unequal string lengths 🧠 Problem Statement: Given two strings s and t, return true if they are anagrams, otherwise return false. 📌 Example: Input: s = "apple", t = "aplep" Output: true ✨ I explored two approaches: 1️⃣ Using dictionaries to count character frequencies 2️⃣ Using sorting to directly compare both strings This problem helped me understand how different approaches can solve the same problem with varying efficiency — a key concept for coding interviews. #Day26 #100DaysOfCode #Python #CodingJourney #ProblemSolving #DataStructures #Programming #LearnToCode #TechJourney

Understanding why Tuples are a crucial data structure in Python As a beginner in Python, learning about Tuple methods is essential for efficient coding In this article, you'll discover the various methods that can help you work with Tuples in Python, including index(), count(), min(), max(), and more TuplesInPython ITFresherResources DataStructureTips PythonForBeginners TechLab Read the full article 👉 https://lnkd.in/dsU8pPz7 #PythonTuples #TuplesInPython #ITFresherResources #DataStructureTips #PythonForBeginners #TechLab Code. Learn. Build. — TechLab by Neeraj

Day 1 — Starting My Python Journey Today I practiced the basics of Python 🔹 Working with variables 🔹 Using the print() function 🔹 Performing basic operations Here’s a simple snippet I tried: name = "Ankaj" age = 34 print(name, age) a = 20 b = 10 print(a + b) # Addition print(a - b) # Subtraction print(a / b) # Division What I learned: Python makes it really easy to work with variables and perform operations without complex syntax. I’m documenting my journey as I learn every day Follow Ankaj Python Hub to grow with me https://lnkd.in/gx2yF2vF #Python #LearnPython #CodingJourney #100DaysOfCode #Beginner

🚀 New Python Tutorial is Live on CodeQueryHub! Understanding Python Operators is one of the most important steps in building a strong programming foundation 💡 A new video has been published covering all types of operators in one place — explained in a simple and practical way. 📌 What’s covered: ✔️ Arithmetic Operators ✔️ Assignment Operators ✔️ Comparison Operators ✔️ Logical Operators ✔️ Bitwise Operators ✔️ Operator Precedence (BODMAS) 🎯 This video is useful for: • Beginners starting Python • Students preparing for interviews • Anyone looking to strengthen core concepts 🔗 Watch here: https://lnkd.in/gDJgfMxB More structured Python content is being added regularly on CodeQueryHub 🚀 #python #pythonprogramming #learnpython #pythontutorial #pythonforbeginners #coding #programming #developer #softwaredeveloper #codinglife #datascience #dataanalytics #tech #technology #computerscience #learncoding #codingforbeginners #programminglife #developers #pythonbasics #pythonlearning #pythoncourse #codingcommunity #pythonoperators #logicaloperators #bitwiseoperators #arithmeticoperators #assignmentoperators #pythoninterview #techlearning #education #codequeryhub #youtubetutorial #contentcreator #codingtips #career

Day 2 of my Python & DSA learning journey 🚀 Today I learned the difference between print() and return in Python. ❓ What is the difference between print() and return? Both are used to work with values in Python, but they behave differently. 📌 print() • It displays the output on the screen • It does not send the value back to the function caller 📌 return • It sends the value back to the place where the function was called • It allows the value to be used later in the program 💻 Example in Python def add(a, b): return a + b result = add(5, 3) print(result) Here the function uses return to send the result back, and print() is used to display it. Output: 8 Understanding the difference between print() and return is very important when writing functions in Python. 🔥 Question for developers: When do you prefer using return instead of print() inside a function? #Python #DSA #Coding #Programming #LearningInPublic #100DaysOfCode

🚀 Python Practice – Finding the Largest Element in a List (with Index) Today I worked on a simple yet important Python problem: 👉 Taking user input as a list of numbers and finding the largest element along with its index position. This exercise helped me strengthen my understanding of: List handling in Python User input processing Looping and comparison logic Index tracking 💡 Why this matters? Such basic problems build the foundation for more advanced concepts in data structures and algorithms. 🔧 Approach used: Accept input from user Convert input into a list Traverse the list to find the maximum value Track its index 📌 Consistent practice of small problems like this improves problem-solving skills step by step. #Python #Coding #Programming #DataStructures #LearningJourney #BeginnerToPro #ProblemSolving

Day 4/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 10: Regular Expression Matching 💡 Problem: Implement pattern matching with support for: • '.' → matches any single character • '*' → matches zero or more of the preceding element 🧠 What I learned: • Dynamic Programming (DP) • Recursion with memoization • Handling complex pattern matching logic 💻 Example: Input: s = "aa", p = "a*" Output: True 🚀 Insight: Instead of brute force, I used DP to efficiently check all possibilities, especially when handling '*' cases. This was a challenging but rewarding problem 💪 #30DaysOfCode #Python #LeetCode #DynamicProgramming #CodingChallenge #ProblemSolving

Ever confused between List, Tuple, and Set in Python? 🤔 Here’s the simplest way to understand it: => List [] → Ordered, Mutable, Allows Duplicates => Tuple () → Ordered, Immutable, Allows Duplicates => Set {} → Unordered, Unique Elements Only 💡 Quick Tip: Use List when you need flexibility Use Tuple when data should not change Use Set when you need unique values Mastering these basics makes your Python code cleaner and more efficient. What do you use the most in your projects? 👇 #Python #Programming #BackendDevelopment #Coding #Developers #FastAPI #AI