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.

Starting Your Journey in Data Science with Python

When I first looked at data science, it felt like standing at the foot of a mountain statistics, machine learning, algorithms, endless buzzwords. Where do you even begin?

Understanding Test Strategy and Test Plan

 

Choosing the Right Automation Testing Framework: TestNG vs. Cucumber vs. Robot Framework