codeverra

LIVE COURSE

DSA with Python – Zero to Hero

A structured, practice-first program to master Data Structures and Algorithms using Python.

Designed for absolute beginners
Hands-on Python from scratch
Interactive live sessions for indepth explainations
Weekly practice sessions, notes and assignments
Doubt support and mentorship
Language: English + Hindi

Enroll Now

About me

Kumar Ramendra

Software Engineer @ Google

Hey there! I’m a software engineer specialising in AI/ML. I’ve spent 7+ years building and scaling real-world systems across machine learning, IoT, and data-driven products at fast-moving teams and startups.

Alongside industry work, I’ve spent hundreds of hours teaching Python, Data Science, ML, and DSA to beginners and early-career engineers through classroom and online sessions.

I teach because I know how intimidating programming can feel when it’s taught the wrong way. My focus is simple: break concepts down, make them click, and help learners build real confidence.Codeverra is built around this philosophy. If you’ve ever felt stuck with programming, you’re in the right place.

Feel free to write to me at ram@codeverra or reach out on my socials. Let's do this together!

Blogs

A Practical DSA Learning Roadmap

dsa learning-roadmap

Data Structures and Algorithms (DSA) are often treated as a necessary evil, something you grind through only to clear technical interviews. This narrow framing has done more harm than good. It leads to shallow learning, memorized solutions, and frustration when problems slightly change. The truth is simple: DSA is not just about interviews. It is about learning how to think clearly, reason about efficiency, and design solutions that scale. This blog lays out: ...

DSA With Python - Zero to Hero (Curriculum)

dsa learning-roadmap

About This Guide Welcome to the DSA with Python: Zero to Hero comprehensive learning roadmap! This guide serves as the complete reference material for our live course, organizing all topics, concepts, and learning outcomes in a structured, progressive manner. For Course Students If you’re enrolled in the live course, this blog is your companion resource that: Mirrors the course structure - Every module taught in class is documented here Serves as a reference - Quickly look up concepts, syntax, and examples Tracks your progress - Follow along and check off completed modules Provides continuity - Never miss a beat even if you miss a session For Self-Learners Even if you’re not enrolled in the course, this roadmap is designed to be: ...

Analysis of Time Complexity Explained with Python Examples

dsa time-complexity

Time complexity is one of the most important concepts in Data Structures and Algorithms. It helps you understand how an algorithm behaves as the input size grows and why some solutions fail to scale. This guide explains time complexity step-by-step using simple explanations and Python examples written purely as text, focusing on intuition rather than heavy mathematics. 1. What Is Time Complexity? Time complexity measures how the running time of an algorithm grows as the input size increases. ...