Systems | Development | Analytics | API | Testing

APIs (Application Programming Interfaces) are like bridges that let different software systems talk to each other. Among the many types of APIs, REST APIs are the most popular because they follow a simple and well-defined architecture. In this blog, we’ll explore what REST APIs are, how they work in Python, and how you can build and test them easily.

Agile Testing has become essential in modern software development, where fast-paced changes, rapid delivery cycles, and evolving user needs dominate the landscape. In scenarios where traditional testing slows down release cycles or fails to adapt to shifting requirements, Agile Testing emerges as a proactive solution. Integrating testing throughout development ensures software quality while maintaining speed and responsiveness.

As businesses increasingly harness the power of artificial intelligence (AI) and large language models (LLMs), a new challenge emerges: managing the deluge of AI requests flooding systems. This exponential growth in AI traffic creates what could be considered a gratifying predicament—high demand for your AI services—but also introduces complex challenges that must be addressed for sustainable operations.

Dashboards and reports are two common terms used interchangeably in discussions around business intelligence (BI) and data analytics platforms. Both are analysis tools used to present operational information graphically, provide visibility into organizational performance, and enable informed decision-making based on hard-tracked metrics. But what is the actual difference between BI dashboards vs a report?

There are many problems that JavaScript’s single-threaded nature causes developers. Chief among them is combining long-running tasks with the UI components simultaneously. This sort of issue can cause a huge problem in a web app when a CPU-intensive task blocks the rendering of UI components, making the webpage freeze.

Apache DataSketches in BigQuery enable approximate analytics with minimal memory or computational overhead, and with a single pass through the data.

Artificial Intelligence (AI) is revolutionizing industries worldwide, making it indispensable for modern businesses. However, this rapid growth brings a challenge—traditional testing methods are no longer sufficient to ensure the reliability and quality of complex, data-driven AI systems that are prone to bias. To succeed in 2025, organizations must adopt specialized AI automation testing strategies that validate performance and maintain consumer trust.

AI doesn’t just fail with bugs. It fails in silence, in bias, and in behavior. That’s why traditional QA won’t cut it anymore.

React continues to dominate the front-end development landscape, offering a powerful and flexible library for building modern user interfaces. Whether you’re just getting started or looking to optimize your workflow, this guide will walk you through everything you need to know about running React in Visual Studio Code and online platforms. For Detailed Guide:- how to run tests in vs code.

Insights from 100+ data professionals in our latest cost and pricing survey report.