Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...

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 ...

The power of Python trumps Excel workbooks.

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 ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

The analysis of data over space and time is a core part of descriptive epidemiology, but the complexity of spatiotemporal data makes this challenging. There is a need for methods that simplify the ...

Multiplexed imaging has transformed our ability to study tissue organization by capturing thousands of cells and molecules in their native context. However, these datasets are enormous, often ...

As data becomes bigger and more complex, there are mountains of information inside every organization. But how can data and analytics be made available and actionable so companies can unlock their ...