MarketXLS is an early investment research platform to support MCP for Excel-based financial workflows, helping professionals generate complete Excel analysis workbooks faster than ever.

Upgrade your spreadsheets with BYCOL to consolidate column logic, prevent manual errors, and build automated reporting dashboards.

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Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

This project analyzes a dataset of Netflix Movies and TV Shows using Python. It explores trends such as content type, release years, country-wise distributions, and more using pandas, matplotlib, ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...