Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.

Data cleaning is often considered one of the most tedious tasks in data analysis. Research indicates that data professionals spend about 80% of their time on this process. Is there a way to speed it ...

By combining Excel’s GROUPBY function with dynamic formulas, data validation lists, and conditional formatting, you can create an interactive data summary with robust drill-down capabilities.

Google’s data science agent does just that: The new, free, Gemini 2.0-powered AI assistant that automates data analysis is now available to users age 18-plus in select countries and languages.

In the realm of big data, Python has emerged as a versatile and powerful tool for data exploration and visualization. With its extensive libraries such as Pandas, NumPy, and Matplotlib, Python offers ...

The issue you raised regarding the pandas dataframe agent sometimes returning Python code instead of the expected result has been resolved. Dosubot provided a detailed response suggesting steps to ...

The latest trends and issues around the use of open source software in the enterprise. Data lake analytics platform company Starburst has extended support for Python with PyStarburst and announced ...