Optimized Depth Counter for LeetCode Challenge

🚀 “Remove Element” using In-Place Array Technique | Python 🎯 Problem: Remove all occurrences of a given value from an array and return the count of remaining elements. #Python #DataStructures #Algorithms #CodingPractice #DSA #DataScience #Coding #Programming #LogicBuilding #DataAnalysis

LeetCode Problem 1572: "Matrix Diagonal Sum" : Given a square matrix mat, return the sum of the matrix diagonals. Only include the sum of all the elements on the primary diagonal and all the elements on the secondary diagonal that are not part of the primary diagonal.  The below code in python resolves this problem successfully. #dsa #matrix #leetcode #python #competitiveprogramming #datastructures #algorithms #problemsolving #coddingchallenge #dailycoding #programming

How can a piece of code be this heavy!!! As a python user, It is really traumatizing to see your system crash in front of you. because of a code Python is a wrapper around C programming it's a multi layered. when we run python it doesn't directly talk to our processor instead of a middleman program (Cpython written in C) must translate your code on the fly #python #machinelearning #cprogramming #Ai #datascience

Learned about the ord() and chr() functions for character–Unicode conversion, the round() function for numerical precision, and proper variable naming conventions. These basics make code more readable and reliable. 🐍💪 #NEXTGENFREEDU🚀 #Python #LearningJourney #ProgrammingBasics #SkillDevelopment

Day 44 – Replacing a Substring in a String: Today’s task focused on replacing a specific substring within a given string using a clean and structured approach. This exercise strengthened understanding of string functions, user input handling, and text transformation, which are commonly used in data cleaning and text-processing tasks. GitHub Code: https://lnkd.in/gWerhXEC #Day44 #100DaysOfCode #Python #StringManipulation #LogicBuilding #TextProcessing #DailyCoding #Consistency

Python threads aren't what you think they are. 🤯 I was optimizing a CPU-bound task, expecting threads to speed things up. Instead, performance tanked. What was the deal? Python's Global Interpreter Lock (GIL) allows only one thread to execute Python bytecode at a time. For CPU-bound tasks, threading won't help. Use multiprocessing instead! 🧵🚫. Threads are great for I/O-bound tasks, though. 📡💡 💡 Key Takeaway: Use threading for I/O-bound tasks and multiprocessing for CPU-bound tasks to bypass the GIL. 🐍 Have you been bitten by the GIL? Share your story! 👇 #Django #Python #PythonProgramming #FastAPI #Coding #Programming

Today I learned about the while loop in Python 🐍 A while loop is used to repeat a set of instructions as long as a condition remains true. It’s especially useful when: ✅ You don’t know in advance how many times the loop should run ✅ The loop depends on user input or dynamic conditions ✅ You want to keep running until a specific condition changes Simple example: count = 0 while count < 5: print(count) count += 1 It keeps running until the condition becomes false. Small concept, but very powerful when building real-world logic and automation. Learning one Python concept at a time 🚀 #Python #DataScience #LearningInPublic #Programming #100DaysOfCode #CareerSwitch

Day 44 – Python with DSA 🐍📘 Today I learned one of the most important DSA techniques: Sliding Window. 🔹 What I understood: Used for subarray Helps optimize solutions from O(n²) to O(n) Works by adding one element and removing one element instead of recalculating 🔹 Problems practiced: Maximum Average Subarray Minimum Size Subarray Sum This concept really helped me understand how to think efficiently while solving problems. Slow progress is still progress 🚀 Consistency > Speed 💪 #Day44 #Python #DSA #SlidingWindow #LeetCode #SDE#CodingJourney

Today, we will learn how if, elif, and else work in Python by applying them to a real-life scenario. Using a simple attendance system, we will see how programs make decisions based on conditions—just like rules in real life. This practice helps us understand how logic is converted into working code. Small steps, strong fundamentals 🚀 #Python #IfElse #ProgrammingBasics #LearningByDoing #GoogleColab #BeginnerPython #CodeLogic

🔍 Diving Deep into Python Memory & Internals Recently, I went beyond surface-level Python by exploring how objects live in memory. By combining Python with C concepts using ctypes, I inspected memory addresses directly and learned how Python handles reassignment at the object level. One key takeaway: Python’s int data type is immutable — reassigning an integer doesn’t modify the existing object, it creates a new object at a new memory address. #MemoryManagement #CTypes #LowLevelProgramming #SystemsProgramming #ReverseEngineering