Ali Shahed Ali Shahed hagh ghadam

Writings

chatgpt dataviz
LLM ML DataViz

Data Visualization Using Natural Language Prompt Powered by ChatGPT

In this blog post, I introduce an app that I built on top of ChatGPT API to help me visualize datasets using natural language prompts. The article is accompanied by a short video.

app engine vs cloud run
POC DataViz

Deploying a Streamlit App on Google Cloud Platform: App Engine vs. Cloud Run

Streamlit is an open-source Python library that simplifies the process of creating custom web applications for data science and machine learning. In this article, we’ll guide you through deploying a Streamlit app on Google Cloud Platform (GCP) using two popular compute services: App Engine and Cloud Run. By the end, you’ll understand the key differences between the two services and how to deploy a simple Streamlit app to both.

Football streamlit part2 POC DataViz

European Soccer League Results App With Streamlit (Part 2)

If you have followed part 1 of this article, you should have the Streamlit app running locally on your computer. In this article, we go one step further and describe the steps that you need to take to deploy your app on Streamlit community cloud service and share the app with the public. These are the steps you need to deploy your app:

Football streamlit part1 POC DataViz

European Soccer League Results App With Streamlit (Part 1)

In this series of articles, we learn how to run a simple streamlit data app locally and deploy the app in streamlit community cloud for everybody to use. I divided this article into two installments. In part 1, i.e this article, I describe how to set up your environment to run the European Soccer League Results App locally. In part 2, I will explain the steps that are needed to deploy the European Soccer League Results App to Streamlit Community Cloud for the public. Make sure to follow me to be notified when I publish part 2 of this article. (Part 2 is here)

USSR chip General

Zelenograd: The Soviet Union’s Ill-fated Attempt to Replicate Silicon Valley

Alfred Sarant and Joel Barr, two covert operatives of the Soviet Union within the Rosenberg spy ring, found themselves entrusted with a mission unlike the typical fare of nuclear espionage. Their task? The clandestine acquisition of the United States’ most cutting-edge secrets in the realm of electronics. In 1956, evading the tightening grip of American intelligence, they fled to the USSR, and within a span of two years, they found themselves presiding over a newly-minted center committed to propelling the Soviet Union into the forefront of semiconductor technology. Yet, the grand plan was to unravel before it could truly unfold. They were poised on the precipice of an epic failure. But what factors conspired to foil their ambitious undertaking?