When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

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 ...

Pandas is a library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time ...

I have an excel sheet that I want to compare old and new prices with. I know I can use the df.compare to get the difference between the old and new prices like this: So The claim numbers and already ...

The recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and number ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...