Leapwork this week revealed it is infusing agentic artificial intelligence (AI) capabilities into its test automation platforms to enable continuous validation across application testing workflows. Company CTO Rohit Raghuvansi said that as the pace of application development accelerates in the age of AI, it’s become apparent that test validation has become an even bigger software engineering bottleneck. In fact, a recent Leapwork survey finds that as adoption of AI coding tools increases, the amount of budget dollars allocated to quality assurance and validation is rising to consume 35% to 40% of application development budgets. Leapwork is addressing this issue with…
Author: drweb
NumPy is one of the most important Python libraries for numerical computing and data analysis. It is widely used in data science, machine learning, and backend development to handle arrays, matrices, and mathematical operations efficiently. These 100 Python NumPy MCQs are designed to test your understanding of core NumPy concepts. These questions are frequently asked in interviews and exams, and also help you strengthen your fundamentals and improve problem-solving skills. 100 Python NumPy MCQs with Answers Q1. Which command is used to import the NumPy library in Python? A. import numpyB. import numpy as npC. import npD. from numpy import…
In this article, you will learn how to query the DOM in Textual. You will discover that the DOM keeps track of all the widgets in your application. By running queries against the DOM, you can find widgets quickly and update them, too. You will be learning the following topics related to the DOM: The query one method Textual queries You will learn more in the second part of this series next week! You will soon see the value of working with DOM queries and the power that these queries give you. Let’s get started! The Query One Method You…
Most developers know the drill. You write a script. You set up a cron job. You wire it into some monitoring tool and pray it runs cleanly overnight. Then something breaks, your laptop was asleep, and the task never ran. Anthropic is trying to fix that with Claude Code Routines, now available in research preview for Pro, Max, Team, and Enterprise plan subscribers. What are Routines? A routine is a saved Claude Code configuration — a prompt, one or more repositories, and a set of connectors — packaged once and run automatically. Think of it as putting your most repetitive…
TLDR: You can iterate through a Python list using for loops, list comprehensions, while loops with index, enumerate(), map(), and even the iter()/next() combo. Each approach fits a different scenario. This guide covers all of them with runnable code examples. Introduction If you have worked with Python for more than a week, you have a list. If you have a list, at some point you need to walk through every element in it. That is iteration, and Python gives you a surprising number of ways to do it. Most tutorials throw one for item in list: example at you and…
SmartBear today added capabilities to its platform for designing and managing application programming interfaces (APIs) that make it easier to both keep track of them and detect drift. A revamped Swagger Catalog, in addition to providing a unified view of APIs, also makes it possible to govern them. At the same time, SmartBear is adding Swagger Contract Testing with drift detection that verifies the API is behaving as specified in a contract. Additionally, SmartBear later this quarter plans to revamp its API editor along with artificial intelligence (AI) tools for generating APIs, a context-aware ability to create documentation, Spectral-based governance…
DevOps is about shortening the system development lifecycle. Plan faster, build faster, test faster, deploy faster. But while we accelerate delivery, why not shorten the expense lifecycle as well? Every deployment consumes compute, every environment uses storage, and every scaling rule involves cost. Speed and spend are linked and move together. If we’re eliminating inefficiency in delivery, it only makes sense to tackle inefficiency in spending too. This is where DevOps and FinOps are best mates.DevOps Accelerates. FinOps Optimises.DevOps removes software inefficiencies, FinOps removes financial waste. DevOps focuses on velocity, reliability, and smooth delivery through automation and collaboration. FinOps adds…
Excel files are everywhere in the real world. Sales reports, financial models, inventory lists, survey data, employee records. If you work with data long enough, someone will hand you an .xlsx file and ask you to do something with it. I have gotten this request from junior engineers, product managers, data analysts, and executives more times than I can count. The answer in Python almost always involves pandas, and specifically the read_excel function. This article covers everything you need to know about reading Excel files with pandas. I start with the basics and work through real scenarios including multiple sheets,…
Python keywords are the reserved words that form the core grammar of the Python programming language. Each keyword has a specific meaning and purpose, and you cannot use any of them as variable names or identifiers in your code. Python currently has 35 keywords, and they cover everything from controlling program flow (if, else, for, while) to defining functions (def, lambda), handling errors (try, except, raise), and managing asynchronous operations (async, await). When the Python interpreter reads your code, it matches each word against this reserved set before deciding what the code means. That is why understanding keywords is not…
Waydev today revealed it has revamped its engineering intelligence platform to provide insights into how the adoption of artificial intelligence (AI) coding tools is impacting DevOps workflows. Company CEO Alex Circei said the overall goal is to make it easier for the leaders of software engineering teams to determine the return on investment (ROI) their AI coding tools are actually providing. While there is little doubt that AI tools are capable of generating code faster than humans, the percentage of that code making it into production environments is often unknown. DevOps engineers need to understand where AI code is being…