pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the index of a DataFrame On a ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

In today’s world, where gaining valuable, data-driven insights is crucial for business growth and improving services, social media platforms like Facebook, YouTube, Instagram, and Twitter/X have ...

Artificial Intelligence? Let's dive in, artists! I am learning Machine Learning (a subset of AI), and my focus is the implementation of AI algorithms in Houdini to solve particular problems. Here I am ...

PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax ...

A superposed epoch analysis (SEA) is a simple, yet powerful statistical analysis technique, used to identify patterns in the temporal evolution of observed quantities relative to defined epochs. In ...

NeuroKit2 is a Python Toolbox for Neurophysiological Signal Processing. The presented method is an adaptation of NeuroKit2 to simplify and automate computation of the various mathematical estimates of ...

I got exposed to Emacs in the 1990’s when I used Unix mainframes and VT220 terminals for work. At the beginning, it was just my programmer’s editor and when I got used to it, I looked for ports to use ...

This project provides extensions to the Apache Spark project in Scala and Python: Diff: A diff transformation and application for Datasets that computes the differences between two datasets, i.e.