Binary Search: LeetCode #35 Solution in Python

Python interviews in 2026 aren’t about syntax anymore; they’re about depth. I compiled a set of advanced Python interview questions that explore what really matters in modern engineering discussions. Topics covered include: • Python internals • The Global Interpreter Lock (GIL) • Descriptors and metaclasses • Memory management • Generators and performance Each concept includes clear explanations and practical code snippets. If you're preparing for serious Python engineering interviews, this should help sharpen your understanding. #Python #PythonProgramming #SoftwareEngineering #CodingInterview #TechCareers

🚀 Day-75 of #100DaysOfCode 📊 NumPy Practice – Reversing an Array Without Slicing Today I implemented logic to reverse an array without using slicing, focusing on element swapping. 🔹 Concepts Practiced ✔ Array indexing ✔ Swapping logic ✔ In-place operations 🔹 Key Learning Avoiding built-in shortcuts helps in understanding core logic and problem-solving skills, which is very important for interviews. Step by step improving my problem-solving ability 🚀 #Python #NumPy #ProblemSolving #CodingChallenge #100DaysOfCode #PythonProgramming

🚨 Python Interview Trap: == vs is Many beginners think == and is are the same in Python… but they are NOT. ✔ == → compares values ✔ is → compares memory location (object identity) Example 👇 a = [1,2,3] b = [1,2,3] print(a == b) → True print(a is b) → False Why? Even though the values are the same, Python created two different objects in memory. Now look at this 👇 a = 256 b = 256 print(a is b) → True But… a = 257 b = 257 print(a is b) → False 📌 Reason: Python internally caches integers from -5 to 256. 💡 Interview Tip: Use == when comparing values, and is when checking object identity. Small concepts like this are commonly asked in Python interviews. #Python #CodingInterview #DataScience #MachineLearning #LearnInPublic #100DaysOfCode

I wish someone told me these Python tricks earlier.🐍 Would’ve saved me: ❌ Hours of debugging ❌ Writing unnecessary loops ❌ Messy code Instead… I learned the hard way. So here you go — all in one place Use these and you’ll: ✔ Write cleaner code ✔ Think like a developer ✔ Stand out in interviews 👉 Bookmark this. You’ll sure need it. follow for more dev stuff 🤌 #PythonTips #LearnToCode #ProgrammerLife #CodingTips #SDE #TechCareers

This problem explores how list comprehensions can both filter and transform data in a single line. The condition selects specific elements from the list, and the expression then applies an operation to those selected values. Understanding this helps write cleaner and more Pythonic code. THE ANSWER IS; (B) #Python #ListComprehension #PythonChallenge #LearningInPublic #CodingJourney

Search Insert Position: Binary Search with Fallback to Left Pointer Standard binary search returns -1 when target not found. This variant returns the insertion index instead. The key insight: when the loop terminates without finding target, left pointer naturally points to where target should be inserted to maintain sorted order. Why Left Pointer Works: Binary search terminates when l > r. At this point, left has crossed past the position where target would fit. This property makes left pointer the correct insertion index without extra logic. Time: O(log n) | Space: O(1) #BinarySearch #InsertPosition #PointerProperties #SortedArrays #Python #AlgorithmDesign #SoftwareEngineering

20 students. One simple Python problem. Most got it wrong. Which code gives the same output for both a and b? Code 1: a = [1, 2, 3] b = a b.append(4) print(a) Code 2: a = [1, 2, 3] b = a.copy() b.append(4) print(a) Take a guess before you run it. In interviews, questions are rarely difficult. They are designed to check one thing: Do you really understand the basics? Most people rush to answer. Very few stop and think. What’s your answer? #Python #CodingInterview #DataAnalytics #LearnPython #CareerGrowth

𝗦𝗹𝗶𝗱𝗶𝗻𝗴 𝗪𝗶𝗻𝗱𝗼𝘄 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 – 𝗠𝗮𝘀𝘁𝗲𝗿 𝗚𝘂𝗶𝗱𝗲 Learn the Sliding Window technique, one of the most powerful patterns in coding interviews and problem-solving. This guide explains how to efficiently solve problems involving arrays and strings by reducing time complexity. Perfect for mastering subarrays, substrings, and optimization problems. #SlidingWindow #DSA #CodingInterview #Algorithms #Java #Python #CompetitiveProgramming #CodingTips #LearnCoding #Tech

A classic #Python mistake: What's wrong with this code? s = 'What's your name?' The string uses '' as delimiters. But it also contains a ' inside. Solutions: s = "What's your name?" # Delimit with "" s = 'What\'s your name?' # Escape literal ' with \