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

Actionable insights define a successful enterprise, where those who can tap into the power of their data can drive new business opportunities. Mingo Sanchez, senior sales engineer, Plotly, joined DBTA ...

Python has become the go-to language for data analysis, offering powerful libraries like pandas, NumPy, and Matplotlib to turn raw data into actionable insights. From cleaning and transforming ...

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, ...

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 ...

Python has become a powerhouse for financial data analysis, blending speed, flexibility, and a rich ecosystem of libraries. From pulling real-time market data to creating predictive models, it ...

This story contains interviews with data visualization professionals Moritz Stefaner, Scott Murray, Benjamin Wiederkehr, partner at design and technology studio Interactive Things, data visualization ...