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

In that case, the open source Pandas library for Python might be what you are ... to use actual column names when subsetting data. It makes the code easier to read, and you don’t have to refer ...

My guess is that Python will eventually supersede R for most data manipulation analysis and tasks ... You then hit Shift-Enter to run the code and the results are shown immediately below. You can also ...

To use the morningstar_data Python package ... ways to use Python for style analysis? The complete guide includes additional case studies, examples, and code snippets.

Style analysis ... Style factor data: Exposure and style premia. While many providers offer historical returns data, here we’ll connect to the Morningstar_data Python package to fetch data ...

Anaconda Inc., an open ecosystem for sourcing, building, and deploying data science and AI initiatives, announced the release of Anaconda Code within its Anaconda Toolbox for Excel. This new feature ...

Kernels can be populated with whatever modules the project requires when you're doing code-focused explorations, such as the Python Data Analysis Library (pandas) and SciKit-Learn (sklearn).

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript ...

Python libraries are pre-written collections ... They eliminate the need to write repetitive code and cover areas like data analysis, visualization, machine learning, and web development.