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The Mechanics Behind How Java Handles Polymorphism at Runtime and Compile-Time

Compile-time polymorphism in Java, specifically method overloading, is handled by the Java compiler based on method signatures and parameter types.
During compile-time, the compiler matches method signatures and generates bytecode, locking in the method calls without considering the object's actual type.
Java compiler uses method names and their signatures for method linking, excluding the return type from consideration.
Automatic type conversion is utilized by the compiler when choosing between overloaded methods.
Method overloading decisions are made by the compiler without runtime lookups, following a specific order of matching criteria.
Runtime polymorphism in Java involves method overriding, where a subclass provides its implementation of a method from a parent class.
Dynamic method dispatch in Java occurs at runtime, with JVM determining the specific method to execute based on the actual object type.
Vtables are used by JVM to map method names to memory addresses for fast method lookup during runtime.
Java's polymorphism distinguishes between compile-time decisions (method overloading) and runtime decisions (method overriding) for efficient and flexible object-oriented behavior.
The compiler's role is to work with method signatures for static decisions, while the JVM leverages vtables and object types for dynamic method dispatch.

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Inkbotdesign

30+ Best Web Design Resources for Developers

The article highlights the importance of using quality web design resources to enhance efficiency, creativity, and competitiveness in web development.
It emphasizes the significance of accessing tools like Behance, Dribbble, and Awwwards for design inspiration and showcases their key features.
Coding resources like GitHub, Stack Overflow, and CodePen are recommended for collaboration, support, and quick prototyping in web development.
Graphic design tools such as Adobe Creative Cloud, Sketch, and Figma are praised for their capabilities in creating visually appealing designs.
Popular web development platforms like WordPress, Wix, and Squarespace are discussed for their user-friendly interfaces and versatility in creating diverse websites.
UI/UX design resources like InVision, Sketch App Sources, and Adobe XD Resources are highlighted for their prototyping and collaboration features.
Typography tools such as Google Fonts, Font Awesome, and Adobe Fonts are suggested for enhancing design aesthetics and user experience.
Stock image libraries like Unsplash, Shutterstock, and Pexels are recommended for accessing high-quality images and videos for creative projects.
Colour palette generators like Coolors, Adobe Color Wheel, and Color Hunt are lauded for simplifying the process of creating visually appealing colour schemes.
SEO tools such as Google Search Console, SEMrush, and Moz are discussed for improving website visibility and search engine rankings.
Web hosting services like Bluehost, SiteGround, and HostGator are suggested for reliable hosting solutions with various features to support websites.
Responsive design testing tools including Responsively App, BrowserStack, and CrossBrowserTesting are recommended for ensuring websites are optimally displayed across devices.
Web accessibility resources like WAVE, Axe Browser Extension, and WCAG Guidelines are highlighted for creating inclusive websites catering to diverse user needs.
Collaboration and project management platforms like Trello, Asana, and Slack are endorsed for facilitating team communication, task assignment, and project tracking.
Learning platforms such as Udemy, Coursera, and LinkedIn Learning are commended for offering a wide range of courses to enhance skills and knowledge in web design.

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Medium

322

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10 Common Java Mistakes Even Experienced Developers Make

Java developers, both experienced and newbies, often make common mistakes.
Ignoring exceptions and not handling error messages is a prevalent mistake.
Using outdated collections like Vector and Hashtable is discouraged.
Storing sensitive information like database credentials and API keys in plain sight is a serious security error.

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The Pragmatic Engineer

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The Pulse #128: Mishandled security vulnerability in Next.js

A vulnerability allowed bypassing of authentication at the middleware layer in the popular React framework.
Cloudflare stepped in with a security fix after no meaningful communication from Vercel.
Meta cut CPU utilization across its ads infrastructure 20%, with a one-character change.
Google buys Wiz for $32B in biggest-ever tech acquisition.

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Logrocket

421

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Faceted filtering for better ecommerce experiences

Faceted filtering in ecommerce provides users with the ability to quickly refine search results by selecting attributes from predefined categories, improving the overall search experience.
Faceted filtering differs from traditional search methods by allowing users to select multiple attributes simultaneously, leading to more relevant and precise search results.
Filters refine data based on specific attributes, while facets categorize information into buckets like product type or color in a more detailed manner.
Best practices for faceted filtering include using clear labels, prioritizing relevant facets, displaying applied filters, limiting options, providing search functions, allowing users to save filters, and testing with real users.
Common pitfalls to avoid with faceted filtering include performance issues, overlapping facets, non-persistent filters, zero results, and lack of a reset option.
Advanced methods of faceted filtering involve dynamic faceting that adapts based on the user's search context, AI-powered filtering using historical data, and interactive filter controls like sliders and toggles.
Faceted filtering is crucial for ecommerce websites to enhance user experience and improve search efficiency, helping users find what they need without getting overwhelmed by numerous options.

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Javacodegeeks

367

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Multi-Tenancy in Spring Boot: Sharding vs. Schema Isolation

Multi-tenancy in Spring Boot is vital for SaaS platforms serving multiple customers, allowing data isolation for each tenant.
The article discusses two common multi-tenancy approaches: Schema-Based Isolation and Database Sharding.
Schema-Based Isolation involves each tenant having a separate schema within the same database, enhancing data isolation.
Implementation in Spring Boot includes using Hibernate Multi-Tenancy to switch schemas dynamically based on requests.
Database Sharding, on the other hand, involves all tenants sharing a single database with partitioning by tenant-specific identifiers.
Configuring a Hibernate Tenant Filter allows automatic filtering of query results based on the tenant_id in Database Sharding.
Schema-Based Isolation provides strong data isolation but comes with operational overhead and potential scaling issues.
Database Sharding offers scalability benefits but compromises on data isolation and may face performance bottlenecks.
Choosing the right strategy depends on priorities; Schema-Based Isolation is ideal for isolation and compliance, while Database Sharding suits scalability and efficiency.
Ultimately, the chosen multi-tenancy strategy should align with business requirements, compliance needs, and operational capacity.

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Medium

197

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Android Going Closed-Source? No, But Google’s Walled Garden Is Real!

Google has confirmed that Android development will now be conducted entirely internally.
The source code will still be publicly available, but the development process itself will no longer be open.
Android has always had a mix of open-source and closed-source components.
The gradual shift towards a more closed ecosystem is evident in the Android platform.

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Dev

219

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Handling rate limits of OpenAI models in Java using Guava, JTokkit

Handling rate limited APIs optimally is crucial for faster execution of parallel requests, and OpenAI imposes request rate limit and token rate limit.
Exponential Backoff is used to handle failed requests by retrying after increasing time intervals to prevent continuous retries.
The Token Bucket Algorithm controls requests by allowing them only if enough tokens are available in a bucket that fills at a constant rate.
Tokenizing the input and estimating output tokens are essential steps before sending requests to the OpenAI Responses API.
Guava's RateLimiter class is used to manage token and request rate limits efficiently in Java applications.
Backoff strategies are employed to handle situations where rate limits are not met, and requests need to be retried after a delay.
The article presents code examples using the openai-java, JTokkit, and Guava libraries for implementing rate limit handling in Java applications.
Dependencies for these libraries can be added through Maven, and the code example provided in the article can be used for simulation.
The article also suggests resources for further reading on OpenAI rate limits, libraries used, and the Token Bucket Algorithm.
Readers can explore different scenarios like changing request limits, token limits, and retry mechanisms for practical understanding.

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Medium

179

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Story -periods

The narrator wakes up feeling unwell and mentions their partner's indifference.
Later in the day, the narrator receives a series of surprise gestures from their partner to make them feel better.
These surprises include a note with a chocolate, a hot water bottle, herbal tea, a soft cushion, and the narrator's favorite snack.
The narrator is pleasantly surprised and amused by their partner's efforts to keep them happy.

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Eu-Startups

345

AI meets headhunting: Ethos secures €3 million to spotlight experts lost in the noise

London-based startup Ethos has secured €3 million in funding to utilize AI in matching individuals with meaningful opportunities.
The funding round was led by General Catalyst and included participation from 8VC, Conviction, Common Magic, Interface, and angels from Sequoia, a16z, McKinsey, and SoftBank.
Ethos uses AI to evaluate millions of datapoints in seconds, allowing companies to find experts at scale by analyzing various digital sources.
The company plans to expand its platform to connect advisors with startups, speakers with conferences, and talent with companies.

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Medium

305

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How to Display Code in HTML

To display code in HTML, you can use the tags to enclose the code.
To preserve spaces and line breaks, you can use the tags instead of .
To improve the appearance of code, you can use CSS or a library like Prism.js for syntax highlighting.
When displaying HTML markup code, you need to use HTML delimiters like < and > to avoid any interpretation by the browser.

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Medium

1M

148


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`Choosing the Right Testing Framework for .NET: XUnit, MSTest, or NUnit?`

Testers have multiple options when choosing a testing framework for .NET: XUnit, MSTest, and NUnit.
In this article, a comparison is made between XUnit, MSTest, and NUnit, focusing on performance, ease of use, and suitability for .NET projects.
Each framework has its own advantages and disadvantages, so the best choice depends on the specific needs of the project.
XUnit is a flexible and popular testing framework, MSTest is Microsoft's integrated framework, and NUnit offers more advanced features but requires additional setup.

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Javacodegeeks

1M

188


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`Spring Batch Composite Item Reader Example`

Spring Batch's CompositeItemReader simplifies data retrieval by combining multiple ItemReader implementations into a single logical unit for seamless processing.
To set up a Spring Boot project with Spring Batch, dependencies for Batch and H2 in-memory database are included.
CompositeItemReader in Spring Batch chains multiple ItemReader implementations for reading from various sources.
An example in the article demonstrates merging customer data from a CSV file and a database using CompositeItemReader.
A Customer model is defined with fields like id, name, and email to represent the data structure.
Integration of data from a CSV file is achieved using FlatFileItemReader in Spring Batch.
Reading data from a database is implemented using JdbcCursorItemReader, fetching customer details efficiently.
Combining file and database readers into a CompositeItemReader ensures unified data processing in the batch job.
Configuring the batch job involves defining steps with ItemReader, ItemProcessor, and ItemWriter components for data processing.
Executing the batch job in a Spring Boot application is automated using CommandLineRunner, triggering the job launch.

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Dev

1M

165


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`Is Git a Programming Language? What Exactly Are These Devs Talking About?`

Git is not a programming language but a version control system (VCS) that helps developers manage changes to their code over time.
It acts like a super-powered 'undo' button and a collaborative workspace for coders.
Git tracks changes, allows branching to experiment with new features, helps in merging changes, and facilitates collaboration among team members.
Some confusion arises about Git being a programming language due to its command-line interface and its deep integration in developer workflows.
Developers often refer to Git when they talk about reverting changes, pushing code to repositories, resolving merge conflicts, or tracking code origins.
Git itself was written in languages like C, Shell, and Perl by Linus Torvalds in 2005.
As a tool, Git is indispensable for managing software development processes, regardless of the scale of the project or team size.
Think of Git as the unsung hero of coding, silently preserving code changes and aiding collaboration among developers.
While not a programming language, Git is critical in the coding ecosystem for maintaining code integrity and facilitating efficient workflow.
Git's importance lies in its ability to simplify version control and enhance team productivity in software development projects.

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Dev

1M

4


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`Top 10 Programming Languages to Learn in 2025 🖥️`

Python: Widely used in data science, machine learning, web development, and automation.
JavaScript: Essential for front-end web development and increasingly popular for back-end with Node.js.
Rust: Known for speed and memory safety, used in WebAssembly and game engines.
Go (Golang): Built for concurrency and efficiency, perfect for microservices and cloud computing.

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