Python Pandas vs Excel Pivot Tables

Rethinking Data Extraction in the Modern Analytics Era

Spotting Anomalies in Data with Python & Pandas

Anomalies in datasets are more than just “odd number sets” they can signal

Pandas in Software Testing – More Than Just a Data Science Tool

When we think of Pandas, most of us imagine data analysis, machine learning pipelines, or big data crunching. But did you know that Pandas can be a QA engineer’s secret weapon?

Fast Test Data Preparation

 As software testers, we often spend a lot of time creating test data. Names, emails, phone numbers, addresses, dates of birth… the list never ends.

Pickling & Unpickling in Python, A Hidden Gem for QA Engineers

As QA professionals, we often focus on test execution, automation, and reporting. But behind the scenes, efficient data handling can save us hours of repetitive work. That’s where Pickling and Unpickling in Python come into play.

Monkey Patching in Programming, A QA’s Secret Superpower

In the world of testing, we often face situations where:

A dependency isn’t available yet.
A third-party API is too costly or unreliable for repeated calls.

AI/ML & the “Small Wonder” Connection

Back in the late 80s and early 90s, many of us grew up watching Small Wonder, the sitcom about Vicki, a human-like robot created by engineer Ted Lawson.