Running the code locally also reduces dependence on network communication and allows users to keep all code and data securely within the Excel workbook. Microsoft introduced Python in Excel in August ...

It outfits Python with new data types for loading data fast from tabular sources, and for manipulating, aligning, merging, and doing other processing at scale. Pandas is not part of the Python ...

Python is simple and has a sizable developer community that can assist you with data analysis using the tool. Because Python has so many innovative libraries available for data analysis and ...

One of the top Python libraries for sentiment analysis is Pattern, which is a multipurpose library that can handle NLP, data mining, network analysis, machine learning, and visualization.

The new Anaconda Python Distribution in Excel, which is currently in beta, will bring Python data analysis and data science capabilities to the popular spreadsheet program from Microsoft. The ...

His expertise enables him to craft custom quantitative solutions that streamline data retrieval, enhance analysis, and bridge the gap between Bloomberg’s ecosystem, Microsoft Excel, and Python.

The two worlds of Excel and Python are colliding thanks to Microsoft’s new integration to boost data analysis and visualizations. The two worlds of Excel and Python are colliding thanks to ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

For example, imagine you have a pivot table built using Pandas, an open source Python library for data analysis, that summarizes data both by product and region. With Neptyne, you can ask the AI ...

I hope that it’ll be useful to those who already have a background in software or Python, but who are looking for an easy-to-scan reference to use in data analysis projects. Python is easy to ...