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Closures provide a powerful, flexible way for iOS developers to define and use functions in Swift, replacing the blocks used in its predecessor Objective-C. They provide self-contained modules of functionality that you can move around in your code, similar to the lambdas found in other programming languages. Crucially, closures can capture and store references to any constants and variables from the context in which they’re defined.

Data Analysts and Data Engineers are two of the most important roles in data science. They both face unique responsibilities, utilize specialized skill sets, and contribute greatly to a healthy data ecosystem.

Sauce Labs is the industry’s leading Platform for Test. With unrivalled test coverage and industry expertise, backed by the highest standards of security and compliance, Platform for Test helps empower your team to continuously deliver quality software.

Automated underwriting technology is helping insurers reimagine what’s possible for replacing manual underwriting processes. Gone is the workbench of the 80s and 90s—incomplete data, sluggish page loads, time-consuming workflows and all. And in its place? A modern, connected solution that unifies your data, automates your underwriting process, and improves decision-making for a better customer experience and a stronger bottom line.

Learn the difference between HTTP and gRPC API mocking protocols, plus steps and considerations for implementing a gRPC mock server using Speedscale.

API monetization is a nuanced and complex process that demands both strategic business understanding and technical expertise. While at the 2023 Platform Summit by Nordic APIs, our Head of Developer Relations, Matt Tanner, recently shed light on this topic, emphasizing the bespoke nature of API monetization strategies and the importance of aligning business needs with technical capabilities.

In API development, the discourse often gravitates towards technical specifics and functionality. While attending the 2023 Platform Summit hosted by Nordic APIs in Stockholm, our head of Developer Relations, Matt Tanner, shifts the spotlight to the critical yet underappreciated facet of developer experience. His insights underscore its centrality in API adoption and effectiveness. Here’s some highlights.

AI growing relevance in software testing has garnered substantial attention in today's software industry. While incorporating AI and ML approaches into software testing is not required, it is worthwhile to explore and study how these methods may deliver valuable benefits in specific elements of the testing process. With the incorporation of artificial intelligence (AI) techniques software testing will undergo a transformational transition.

Artificial intelligence holds the potential to enhance efficiency, streamline processes, and improve decision-making across various government sectors. But without robust safeguards, there is a heightened risk of biased decision-making, privacy breaches, and misuse of sensitive data. The Biden administration’s AI executive order establishes new standards for AI safety and security as well as for responsible use of AI at federal agencies and in state and local governments.