Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

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 ...

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 ...

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.

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 ...

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision ... an architect’s blueprint or any formal diagram that facilitates a deeper understanding of what ...

The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient. But for the developers behind the Julia ...