Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the ...

The Basics of Returns-Based Style Analysis Fetching Data for Style Analysis Case Study: Looking for Investment Style Drift Unlock More Code Snippets for Rigorous Fund Evaluation Investors choose funds ...

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 ...

Python, a versatile and user-friendly programming language, has gained immense popularity for its simplicity and power. Its extensive libraries and frameworks have paved the way for innovative ...

What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...

In recent years, high inflation and global conflict busted economist predictions. How well are your funds or portfolios prepared to weather market surprises? Scenario analysis can help portfolio ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

Highlights Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring.Tools like Nornir, Netmiko, ...