Python is a versatile and beginner-friendly programming language that has gained immense popularity for its simplicity, readability, and wide range of applications. Whether you’re new to programming or looking to expand your skills, learning Python is an excellent choice. In this comprehensive guide, i’ll provide you with a curated list of resources and tutorials from my website to help you master Python programming from scratch.
Month: September 2025
PySpark Tutorial | Learn PySpark
PySpark is the Python API for Apache Spark, a powerful open-source framework designed for distributed computing and processing large datasets. By combining the scalability and performance of Spark with Python’s simplicity, PySpark has become an essential tool for data engineers and data scientists working with big data.
Databricks | Building an ETL Pipeline on Road Accident Data Using PySpark
When I started learning data engineering, I always wanted to try a real-world dataset instead of just “toy” examples. So I picked up the India Road Accident Dataset from Kaggle and built a complete ETL pipeline using PySpark and Delta Lake.
Note: This project is a sample ETL pipeline I built for learning and practice. It’s not production-ready, but it’s a great way to understand how raw data becomes analytics-ready data step by step.
In this blog, I’ll walk you through how I designed the pipeline using the Medallion Architecture (Bronze → Silver → Gold). Don’t worry if the terms sound heavy, I’ll explain everything in plain English
Databricks | How to Create a Free Databricks Account for Learning and Practice?
If you want to explore data engineering, machine learning, or AI without spending money, Databricks Free Edition is a great place to start.
This free version gives you a ready-to-use workspace in the cloud — no credit card, no cloud provider setup, and no tricky configurations. Within minutes, you can begin creating notebooks, analyzing datasets, and experimenting with data workflows.
Agentic AI Roadmap for Beginners: A Step-by-Step Guide
Artificial Intelligence (AI) is evolving fast, and one of the most exciting areas today is Agentic AI — systems that don’t just generate responses, but also plan, take actions, and use tools like a real assistant.
If you’re new to this space, the learning path can feel overwhelming. That’s why I’ve created a step-by-step roadmap that will help you go from zero to building Agentic AI applications.