Multiphase Chapter 1: Introduction to Multiphase Flow
Multiphase flows occur when gas, liquid, or solid phases coexist and interact through momentum, heat, and mass transfer. This chapter introduces the main regimes and explains how they are modeled in CFD using ANSYS Fluent. From simplified mixture models to detailed Eulerian formulations and interface-capturing VOF methods, the focus is on understanding the assumptions, strengths, and limitations of each approach. Practical guidelines for model selection and industrial examples help connect theory to real-world applications such as bubble columns, sprays, fluidized beds, and free-surface flows
IBM Data Engineering: Introduction to Relational Databases
A structured summary of the IBM “Introduction to Relational Databases” course, including key takeaways, ERD design, normalization, and practical notes on MySQL and PostgreSQL. Written as personal study notes for future reference.
IBM Data Engineering: Python
Structured course notes from IBM’s Python for Data Science and AI. Includes syntax basics, functions, pandas, NumPy, file I/O, REST APIs, and web scraping. Focus on practical reference and tools for real-world data projects.
IBM Data Engineering: Introduction
A practical, high-level walkthrough of modern data engineering: tools, architecture, pipelines, wrangling, security, governance, and real-world practices. Based on the IBM Introduction to Data Engineering course, this post distills key lessons for both beginners and transitioning professionals.
Fluid-Structure Interaction for Beginners: From Bridges to Blood Flow
In this post, we explore the world of Fluid-Structure Interaction (FSI), a key area of study that reveals how fluids and solids influence each other in systems like bridges, airplanes, and even the human body. From basic principles to real-world examples, this guide will help you understand how these forces shape the structures we interact with every day.
Citizen Data Scientist, Module I: Introduction to Data Science: Laying the Foundation
In this first module of the Citizen Data Scientist course series, we explore the foundational principles of Data Science. From understanding key concepts like machine learning and the CRISP-DM process to getting hands-on with Python and essential libraries, this post lays the groundwork for your journey into the world of data-driven decision-making.
Getting Started with Python for Data Science: A Hands-On Introduction
Welcome to the practical world of Python for Data Science, where we learn how to turn data into meaningful results.
This post walks you through key techniques and tools in Python, showing how they can be applied to real-world data science tasks. Whether you’re just starting out or looking to solidify your skills, this guide offers a hands-on approach to mastering Python for data science.