Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

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 ...

Developer Fernando Perez says JavaScript and multi-user capabilities will be highlighted in coming upgrades of data analysis/visualization project IPython, for “interactive Python,” has been gathering ...

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 ...

According to renowned AT&T Bell Telephone Laboratories statistician John Tukey, “data may not contain the answer. The coordination of some data and an aching desire for an answer will not ensure that ...