Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and data ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Dhruv Madeka, a quantitative researcher at Bloomberg, describes the open source library D3 (or D3.js), which is used to make interactive data visualizations, as “awesome.” But for many would-be fans, ...

In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them ...

Interactive Python modes are an easy way to learn new libraries. Scripting languages are easy to learn on their own because ...

David Gerbing, Ph.D, from Portland State University, explores professional, interactive data visualization for everyone ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...