How to enhance the life cycle of your Data Science projects through Comet, a platform for model tracking and monitoring. — About one year ago, I have discovered Comet, an experimentation platform for model tracking and monitoring. Since then, I have used Comet’s features to keep my projects organized and make them move from the early stages to production. …

A preliminary review of the book Generative AI for Data Analytics by Artur Guja, Marlena Siwiak, and Marian Siwiak on how to use generative AI tools to assist you in your journey as a data analyst — Over the last year, we have been assisted in developing articles, videos, and tutorials on how to use generative AI to perform a given task. Most focus on specific examples and how to implement them through generative AI. The book Generative AI for Data Analytics by Artur Guja, Marlena Siwiak…

An overview of the paper I presented at the 19th International Conference on Web Information Systems and Technologies (WEBIST 2023) — Lately, generative AI (GenAI), a subfield of artificial intelligence aiming to generate new content from what has been learned, has increasingly gained ground. Since one of my research areas is data storytelling, I wondered if GenAI and data storytelling could work well together. …

A tutorial on how to use VDK to perform batch data processing — Versatile Data Kit (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities. While VDK can handle various data integration tasks, including real-time streaming, this article will focus on how to use it in batch data processing. This article covers: Introducing Batch Data Processing

A ready-to-run tutorial in Python Altair to build charts to represent a percentage — Representing a percentage visually may engage the audience more and help them better understand the data. There are different ways to represent a percentage visually. The most straightforward strategy is a Big Number (BAN), as shown in the figure below.

Two ways to show an Altair chart without Jupyter or Colab — Usually, we use Jupyter Notebook or Colab to show a Python Altair. However, if you want to export your Python Altair chart outside of your notebook, you can adopt one of the options described below: Use Altair and Streamlit: Streamlit is a robust framework which supports Altair Save the Altair chart as an HTML file through the command chart.save('chart.html'). If your HTML file shows nothing, run a Python command line server through the command python -m http. server and then access your chart.html from the server.

A preliminary review of the book The AI-Powered Developer by Nathan B. Crocker on how to use generative AI tools to assist you in your journey as a developer — In the generative AI era, updating yourself on tools such as ChatGPT, GitHub Copilot, and Amazon CodeWhisperer is almost mandatory. In the book The AI-Powered Developer, published by Manning and currently in MEAP, Nathan B. Crocker guides the reader in using ChatGPT, GitHub Copilot, and Amazon CodeWhisperer as programming assistants.

A speedy way to convert a long text to a short PowerPoint Presentation using only ChatGPT — Are you tired of spending hours creating PowerPoint presentations from lengthy texts? Do you wish there was a faster way to convert your content into engaging slides? Use ChatGPT to transform your text into a presentation in just minutes. …

A tutorial on how to import a Matplotlib chart into an HTML file — Python provides many libraries to perform different operations, including data visualization. However, you may find integrating a chart built using Matplotlib into an HTML page complex. The simplest solution is to export the chart as a static image, such as a PNG or JPEG, and then integrate it into your…