Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

It contains a production grade implementation including DEPLOYMENT code with CDK and a CI/CD pipeline, testing, observability and more (see Features section). Choose the architecture that you see fit, ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

We are looking for an experienced DevOps Engineer with strong experience in AWS & Python to join our client in the Insurance industry. 36 months+ experience working in DevOps. Expertise in AWS based ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Hi there👋🏼 My name is Amit. I'm interested in MLOps/DevOps, Data Engineering, and Backend Engineering in general.

In any Tkinter program, the first thing you need is a window. This window will act as a container for your app. This line brings the Tkinter library into your program. We give it the nickname tk so we ...

4 keys to writing modern Python Here’s what you need to know (and do) if you want to write Python like it’s 2025, not 2005. How to use uv, the super-fast Python package installer Last but not least, ...