Prashant Sharma Official

B.Tech CS/IT Roadmap 2026: A Clear 4-Year Plan From Someone Who's Still in the Game Career Guide · Opinion · ~14 min read · Updated for 2026 I'm going to skip the usual motivational opener. No "you're not late," no "believe in yourself" — you've heard that a hundred times and it hasn't helped. Instead, let me tell you what actually happened to me. I did my B.Tech, got a job as a Java developer, and spent years building backend systems in production — Spring Boot, Oracle, microservices, the whole stack. I eventually became a Tech Lead. And then, years into my career, I went back to school. I'm currently doing an M.Tech from BITS Pilani (WILP programme), studying mathematical foundations, data structures, and computer organisation — while working full-time and running a YouTube channel . Why am I telling you this? Because the roadmap I'm about to give you isn't based on what I read online. It's...

  Backend Deep-Dive · Opinion + Code · ~14 min read · Updated for 2026 Python vs Java for Backend in the AI Era Every few months someone asks me — on YouTube, on Topmate, in a mock interview — "Prashant, should I learn Python or Java for backend?" And every time, I give the same unsatisfying answer: it depends on what you're building. I know that sounds like a cop-out. But I've spent years writing Java in production — Spring Boot services handling real traffic, real transactions, real on-call pages at 2 AM — and I also teach Python, write automation scripts in it, and have built small backends with FastAPI. I'm not neutral because I lack opinions. I'm neutral because I've seen both languages do things the other genuinely cannot do well. This post is my honest, experience-based take. I'll show you the same endpoint built in both Spring Boot and FastAPI, talk about where each one starts to hurt in production, and give you the decisio...

50 Python Interview Questions That Actually Get Asked — With Answers That Actually Help I teach both Java and Python, and I run mock interview sessions on Topmate where candidates prep for backend and general developer roles. One thing I've noticed: most "Python interview question" articles online give you textbook definitions that fall apart the moment an interviewer asks a follow-up. This post is different. I've organised 50 questions into the categories interviewers actually think in — from language fundamentals to the kind of production-thinking questions that separate mid-level candidates from senior ones. For each question, I've included the answer and the follow-up trap that catches most candidates. How Python Actually Works — The Questions That Start Every Interview Interviewers start here to gauge whether you've just used Python or whether you understand it. Getting these right with confidence sets the tone. 1. Is everything in Pytho...

Python Development Crash Guide 2026 — Part 6: Job-Ready Blueprint: Projects, Resume & Interview Prep Learning Python is the easy part. Getting hired with Python — that's where most people get stuck. Not because they lack knowledge, but because they can't prove what they know. This final part is about turning everything from Parts 1–5 into something a recruiter, hiring manager, or interviewer can evaluate. I've been on both sides of this. I've prepared for interviews, built portfolio projects, and landed roles. I also run mock interview sessions on Topmate where I see exactly what works and what doesn't when candidates present their Python experience. This post is built on that. What "Job-Ready" Actually Means I want to be blunt about this because most guides aren't. Being job-ready doesn't mean you know every Python feature. It doesn't mean you've completed 15 Udemy courses or have 200 LeetCode solutions. I've interview...

Python Development Crash Guide 2026 — Part 5: Python in Real-World Engineering This is where Python stops being a language you learn and becomes a tool you use to solve real problems. Parts 1–4 gave you the fundamentals. Part 5 is about how those fundamentals translate into actual engineering work — the kind that companies pay for. I work primarily with Java and Spring Boot in production, but I reach for Python constantly — for automation scripts, data processing, quick API prototypes, and infrastructure tooling. This dual perspective gives me a clear view of where Python genuinely excels and where you might be better off with something else. Automation — Where Python Delivers Value Fastest If you're looking for the quickest path from "I know Python" to "I'm useful at work," automation is it. I've written Python scripts that replaced hours of manual work — and you don't need to be a senior developer to do this. A 40-line script that saves...