Julius, an AI-powered tool used at Harvard Business School, turns natural language queries into instant charts and insights.

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

Zycus, a global leader in source-to-pay procurement technology solutions, has significantly enhanced the visualization capabilities of iAnalyze, its spend analytics solution, with the latest release.

If you have a Microsoft 365 subscription, you can access Python within Excel, and you don't need to use Python as a separate app. Instead, you can visit the Formulas tab in Excel and select the Insert ...

As business people and marketers, we traffic in data. It’s what we use to make decisions (even gut decisions). Data is also how we communicate the status of things and how we make the case for ...

Data visualisation and chart analysis have evolved into essential tools for exploring and communicating complex quantitative information. Modern research within this field focuses on automating ...

Welcome to Python for Data Science About This is a collection of my personal notes for Data Visualization in Python. Originally I had kept these in a collection of Jupyter notebooks, but it will be ...