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How Python Manages Memory and Garbage Collection One of Python’s biggest advantages is its automatic memory management, which frees developers from the complex tasks of manually allocating, tracking, and deallocating memory. This is achieved through Python’s built-in garbage collection system, which ensures that unused objects are efficiently removed from memory. This not only simplifies development but also helps prevent common memory-related issues, such as leaks and excessive memory consumption. However, understanding how this system works can be crucial for managing performance, especially in larger or more complex applications. Python’s memory management revolves around a reference counting mechanism, where each object…
Rust Foundation Forms Dedicated Security Team to Enhance Language Integrity The Rust Foundation, which oversees the development and growth of the Rust programming language, has taken a major step toward bolstering the security of the language by forming a dedicated security team. This move is aimed at reinforcing Rust’s reputation as a secure and reliable tool for building software, particularly in systems programming, embedded development, and high-performance applications. The creation of this team signifies the Rust community’s commitment to maintaining the highest security standards as the language continues to evolve and gain widespread adoption. Despite Rust’s inherent memory safety features,…
OpenJDK Proposal for Immutable Data Sharing Across Threads Java is considering a significant enhancement for managing data in multi-threaded environments, with a new OpenJDK proposal that could enable the safe sharing of immutable data across threads. This initiative, focused on “extent-local variables,” is an incubating API currently being discussed for potential inclusion in future Java releases. The goal of this proposal is to improve the management of shared data, particularly in the context of applications that use virtual threads, which are becoming increasingly prevalent due to their ability to efficiently handle large-scale concurrency. One of the key benefits of extent-local…
Introduction to Jakarta Server Pages (JSP) Jakarta Server Pages (JSP), formerly known as JavaServer Pages, is a Java-based technology that enables the creation of dynamic, data-driven web pages. Built on top of the Jakarta Servlet specification, JSP is part of the Jakarta EE ecosystem, which ensures continuous support and enhancement for enterprise-level Java web applications. The technology allows developers to embed Java code directly into HTML pages, enabling the creation of interactive content while maintaining the separation of presentation logic from business logic. One of the key features of JSP is its close integration with Java servlets. In many Java…
Using an in-memory database can be incredibly beneficial during the development phase of ASP.NET Core 6 applications. Whether you’re building a new feature and need a safe space to test it without affecting live data, or if you need a quick and temporary solution to prototype a new concept, in-memory databases can provide a lightweight and fast alternative to full-fledged database systems. The best part is that they don’t require complex database setups, and their transient nature ensures that no data is stored permanently, making them perfect for testing scenarios. Entity Framework Core (EF Core) is a powerful Object-Relational Mapping…
Managing and tracking errors in a way that keeps them under control is often one of the most challenging parts of software development. Traditionally, developers had to implement error tracking from scratch for every new project, which resulted in cumbersome and repetitive code embedded deep within application logic. Sentry has streamlined this process by offering a robust error-tracking framework complete with a back-end service and a user-friendly visualization console. With Sentry, integrating error tracking into a JavaScript codebase is straightforward and efficient, significantly reducing development overhead. Recently, Sentry introduced a major optimization to its front-end JavaScript bundles, shrinking the package…
There are numerous methods for generating Word documents using programming languages like R and Python. Traditionally, R Markdown or the officer package have been popular options for R, while Python developers often use the python-docx library for similar tasks. However, a newer, more versatile approach has emerged: Quarto. Developed by RStudio (now called Posit), Quarto is a free, open-source technical publishing system that integrates seamlessly with R, Python, and Julia. This cross-language capability makes it a compelling choice for data scientists and technical writers working across multiple platforms. One of Quarto’s most significant advantages over Word-specific packages is its remarkable…
Go has recently introduced new support for vulnerability management, aiming to enhance the security of Go applications by linking the Go vulnerability database with tools that can analyze a codebase. This integration is part of Google’s broader efforts to fortify the Go programming environment and ensure that developers are informed about potential security threats. The initial rollout of these features provides a proactive way for developers to identify known vulnerabilities that may affect their projects, thereby promoting safer coding practices. The Go security team outlined this initiative in a blog post on September 6, emphasizing that the vulnerability management project…
Java’s “write once, run anywhere” philosophy has made it a powerhouse in the embedded world, allowing software to be created and deployed across diverse hardware platforms with minimal modifications. The appeal lies in the ability to write a Java program once and use similar binaries across a wide range of devices, from small embedded sensors to more complex systems. For developers working in embedded environments, this feature is especially beneficial. Often, these developers have limited knowledge of the specific CPU architecture that will be used in the final product, and Java abstracts this complexity, making development smoother and more efficient.…
ASP.NET Core 6 introduces a simplified hosting model that allows developers to create lightweight and efficient APIs with minimal dependencies. Minimal APIs provide a streamlined approach to building endpoints without the overhead of traditional MVC architecture, making them suitable for microservices and simpler applications. In previous articles, we have covered how to get started with minimal APIs, integrate logging and dependency injection, and test these APIs effectively. In this discussion, we’ll shift our focus to an essential aspect of API development: implementing versioning to manage changes over time and support multiple versions of an API. API versioning is crucial for…