The data retrieval must be fast and efficient. That is what the application we will make today will show us. We will create a Python application that uses SQLAlchemy to interface with an SQL…

Developing a task scheduler application in Python can be an enlightening experience. It teaches the basics of functionality and form in app creation, and it is also a handy program to have on your…

However, if we do partial: jp_dummy = jax.jit(partial(dummy, b=['kek'])), we aim the goal. Somehow, partial object is indeed has __hash__ method, so we can check it with hash(partial(dummy…

In today’s world, the reliance on big data and the Internet of Things is more pronounced than ever. Decision-making today heavily depends on real-time data analysis. A pertinent example is monitoring…

Creating a data processing pipeline with Python is an exhilarating adventure. It’s a perfect amalgamation of automation, scalability, and efficiency. As every company becomes increasingly…

A contemporary, high-speed web framework for constructing APIs in Python, FastAPI has quickly emerged as a go-to for developers wanting to whip up first-rate web applications in a jiffy. This account…

In the current digital environment, the push for instant data delivery is greater than ever. Sectors as disparate as finance and IoT now demand that not only must their data be immediately available…

If you’re looking for a quick way to run Python projects, work with large datasets, or test machine learning models, Google Colab…

When learning pyspark, I really wanted someone to provide a short and sweet example of structured streaming so that I could build on that knowledge moving forward. Because it seemed that every…

This is the second entry in my series exploring the fundamentals of machine learning and AI by programming them from scratch. Follow along with the accompanying notebook by clicking here. Previously…

Before I can explain how BPMN and Python can improve your business, I need to give a little history on a topic called “Literate…

I’m migrating some python C extension to numpy 2. The extension basically gets a list of 2D numpy arrays and generates a new 2D array by combining them (average, median, etc,). The difficulty is that…

Learn to work with buckets and blobs directly and programmatically

Use Google Colab & LLM Framework to create question-answering app

Written by Suha Memon

Introduction: A Daily Commute with Uno Buses

Their ability to capture sequential dependencies

In the last couple of weeks, we looked at how reliably ChatGPT-4o can run and interpret linear regression and multiple regression models…

Fine-tuning large language models (LLMs) has become increasingly vital as industries seek to adapt powerful pretrained models for specific…