Introduction Artificial intelligence (AI) is transforming healthcare by enabling advanced analysis of complex biomedical data and supporting clinical decision-making. Traditional statistical methods often struggle with high-dimensional datasets, while machine learning can identify patterns directly from large amounts of data. According to Abtahi and Astaraki (2026), AI is particularly valuable in healthcare when analysing large datasets where traditional methods are limited. One important application of AI is cancer classification using gene expression data. These datasets measure the activity of thousands of genes simultaneously, helping researchers identify molecular patterns linked to specific…
Tag: python
Java vs. Python: Which Language Is Faster? A Quick Experiment Inspired by an Interview Question
During a recent interview, I was asked a question that seemed simple but actually touches on deeper concepts in programming-language theory and system design: “Which programming language is faster: Java or Python?” At the time, I didn’t know the exact answer. I understood the general differences between the two languages, and I assumed that Python might use fewer computational resources than Java. Ultimately, I responded that performance would depend on the type of data being processed, the context, and the purpose of the program, and I admitted that I wasn’t…
Fixing “Streamlit Requires Raw Python (.py) Files” When Running .ipynb Notebooks
If you’re building a data app using Streamlit inside a Jupyter Notebook environment and run into mysterious errors or warnings—you’re not alone. Here’s a quick guide on two common issues and how to fix them. Error: Streamlit requires raw Python (.py) files, not .ipynb. Fix: Convert .ipynb to .py. by running the following in your terminal to convert your notebook to a proper Python script: This will create a file like: Once the .py script is ready and you launch it with: Streamlit will start serving your app and provide…