The "Senior-Ready" Python Checklist. ✅ Stop learning random libraries and start mastering the core language mechanics. If you can explain everything in this image, you are ready for 90% of technical interviews. The Checklist: ✅ Functional: List/Dict Comprehensions & *args/**kwargs. ✅ Mechanical: Decorators & Context Managers. ✅ Structural: Classes, Inheritance, and OOP. ✅ Professional: Error Handling and Unit Testing. Python is easy to learn but hard to master. Don't stop at the basics. 📈 Which module are you mastering this week? Let's discuss below! 👇 #CareerGrowth #PythonDev #Coding #SoftwareDevelopment #TechTips

Day 17/100 – Consistency in Action Today’s problem: LeetCode 392 – Is Subsequence A simple-looking problem, but a great reminder that strong fundamentals matter. I implemented the Two Pointer Approach to efficiently determine whether one string is a subsequence of another — achieving an optimal solution with O(n) time complexity and O(1) space. What I learned today: • How to think in terms of relative order instead of exact matching • Why greedy traversal works perfectly in subsequence problems • Importance of choosing the right approach over brute force • Strengthening problem-solving intuition for interviews Every day may not feel big, but these consistent efforts are slowly building confidence and clarity On to Day 18 #Day17 #100DaysOfCode #DSA #LeetCode #Python #CodingJourney #Consistency #ProblemSolving #TechJourney

So I created handwritten Python notes that take you from basics → project level → interview preparation. ✔ Easy to understand ✔ Beginner to Pro roadmap ✔ Covers real interview concepts 👉 Comment "PYTHON" or DM me "PYTHON" — I’ll share the notes. Also, I’ve built a complete final year project that shows how a real project actually works. 🎥 Watch demo here: https://lnkd.in/d__xryvm This might give you a clear idea of what your project should look like 👀 Let’s grow together 🚀

Just solved a classic DSA problem: Valid Parentheses Check using a stack! This problem is a great example of how a simple concept like a stack can help solve real interview-level questions efficiently. In the video, I walk through the logic step-by-step and implement it in Python in a clean and beginner-friendly way. If you're preparing for coding interviews or strengthening your DSA fundamentals, this one is definitely worth your time. 🎥 Check out the full explanation in the given link. Would love to hear how you approached this problem or if you have alternative solutions! #datastructures #algorithms #python #codinginterview #softwareengineering #learning #dsa https://lnkd.in/g8AdYW6J

🚀 Master Python Interviews – One Problem at a Time! Just uploaded my Python Interview Practical Q&A notebook on GitHub! 🎯 This notebook covers 10 essential Python practice problems including: - ✅ Basic operations (add, subtract, multiply, divide) - ✅ String manipulation - ✅ List & dictionary problems - ✅ Functions and more Perfect for beginners prepping for Python interviews! 💻 🔗 Check it out: https://lnkd.in/gCdBn8V3 #Python #Coding #InterviewPrep #Programming #LearningPython #TechJobs #LinkedIn #Developer

Python interview prep in 25 pages. Not bad. We came across this doc from Bosscoder Academy, covers everything from basic data types to Scikit-learn, with code snippets for each question. Honestly the kind of thing you bookmark and forget about until the night before an interview. Topics include OOP, string handling, lambda functions, list comprehension, Pandas, NumPy, Seaborn, Matplotlib, and ML basics with Scikit-learn. Pretty solid for anyone getting started or brushing up. Full credit goes to Bosscoder Academy for putting this together. We're sharing it because we think it's useful, not because we made it. If you know the original author by name, drop it in the comments and we'll update. Save this one. You'll need it eventually. What Python concept tripped you up the most during your last interview, and how did you end up explaining it? #Python #InterviewPrep #DataScience #MachineLearning

🚀 Day 17 – Anagram Check in Python 💻 Today’s task: Write a program to check whether two strings are anagrams. 🔍 Two strings are anagrams if they contain the same characters with the same frequency, just arranged differently (e.g., *listen* & *silent*). 📌 This exercise helped me understand: • String manipulation 🧩 • Character frequency comparison 🔍 • Sorting and logical thinking ⚙️ ✨ A simple concept, but very useful in problem-solving and interviews. 📈 Learning and improving consistently every day. #Python #100DaysOfCode #CodingJourney #Programming #ProblemSolving #Developer #LearnToCode #Tech #PythonTips

🚀 Day 72 | Array Problem Solving Today I focused on solving array-based problems in Python 💻 🔹 What I Worked On: • Found largest and smallest elements in an array • Found second maximum element without sorting • Reversed an array without using extra space • Checked if an array is sorted • Counted even and odd numbers in an array • Removed duplicates from a sorted array • Found the missing number in range 1 to n • Calculated frequency of elements • Found pairs with a given sum 💡 Key Learning: • Arrays are fundamental for problem solving • Learned different approaches without using built-in shortcuts • Improved understanding of traversal, conditions, and edge cases 🔥 Takeaway: 👉 Strong array concepts are the base for DSA and coding interviews Consistency is improving problem-solving skills day by day 🚀 #Day72 #Python #Arrays #ProblemSolving #DSA #CodingJourney #10000Coders #PythonDeveloper #SravanKumarSir

🚀 Day 86 – Python with DSA Today I focused on an important interview concept: Subarray Sum = K using Prefix Sum + Hashing A subarray is a continuous part of an array (no gaps). Many problems in interviews are based on this concept. 💡 Key Idea: Instead of checking all subarrays (O(n²)), we use prefix sum and hashing to reduce time complexity to O(n). We keep track of running sum and check if (current_sum - K) already exists. 📌 Example: arr = [1, 2, 3, 4, 5], K = 5 Subarrays → [2,3] and [5] Answer → 2 🔥 Takeaway: Whenever you see problems like: Subarray sum Count subarrays Target sum 👉 Think Prefix Sum + Hashmap Consistency is key. Learning something new every day! #Day86 #Python #DSA #SDE #ProblemSolving #PrefixSum

Python Coding Series – Day 12 Daily post of interview‑style coding questions & solutions. 📌 Problem (Find Second Largest Number in Array): Given an array of integers, find the second largest element. Example: - Input: [12, 35, 1, 10, 34, 1] - Output: 34 This runs in O(n) time and uses constant space. It’s a classic interview problem testing array traversal + comparison logic. --- 🚀 Keep practicing — every small step strengthens your problem‑solving mindset! Python #CodingInterview #LeetCode #DailyCoding #ProblemSolving #Array #LearnWithSudhanshu