A CSV file is a “comma-separated values” file. In plain English, this is a text file that contains an unusually large amount of data. More often than not, this is used in order to create databases of ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

Since the creation of python reading in files has become much easier with each update and with each added package. To work with csv and xlsx files the easiest package is the pandas package because it ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Python is a general-purpose programming language for Web and desktop development. Python works well on both of these platforms because of its flexibility, facilitated by its extensive list of built-in ...

A look at the benefits of using pathlib, the "object-oriented way of dealing with paths". Working with files is one of the most common things developers do. After all, you often want to read from ...

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, ...

The January 2021 update to the Python Extension for Visual Studio Code is out with a short list of new features headed by a data viewer used while debugging. Python for VS Code comes with the Python ...