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Javacodegeeks
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Spring Boot 3 + Record-Based DTOs: Cleaner APIs with Better Type Safety
- Java 16 introduced records for immutable data modeling, now combined with Spring Boot 3 for cleaner, more secure, and type-safe APIs.
- Records offer benefits like immutability, better readability, automatic component generation, safer data flow, and alignment with functional programming patterns.
- Using records as DTOs in Spring Boot 3 simplifies code by eliminating boilerplate constructs and ensuring type safety in request and response bodies.
- Best practices include keeping record DTOs purpose-specific, using mapping libraries for entity-DTO conversion, applying Bean Validation annotations for security, and avoiding logic within records.
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Logrocket
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Leader Spotlight: Building and growing a lasting community, with Derek Pharr
- Derek Pharr is Chief Product Officer at Sporcle, Inc., leading products and community initiatives for the past 16 years.
- Community-focused projects like tournaments, editor programs, and quizzes have driven Sporcle's growth and engagement strategies.
- Engagement, trust-building, and feedback channels are key in setting Sporcle's product vision and strategy for long-term community success.
- Success metrics for community platforms like Sporcle include user contributions, forum engagement, quiz plays, and badge earning.
- User feedback and data insights led Sporcle to adjust ad strategies to provide cleaner, contextual user experiences.
- Balancing user feedback, data analytics, and internal initiatives shapes Sporcle's future direction and community evolution.
- User-driven features like Sporcle Tournaments and teacher tools are part of ongoing investments in community-driven initiatives.
- Early investments in quiz creation tools, editor programs, and badge systems laid the foundation for Sporcle's community growth.
- Building meaningful connections, recognizing users' contributions, and consistent engagement are essential in community building.
- Personal projects like the Chief Rabbit newsletter have allowed Derek to apply community-building lessons from Sporcle to other initiatives.
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Dev
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Birth of JavaScript: 10 Days, One Man, and a New Era
- In 1995, JavaScript was created by Brendan Eich in just 10 days, becoming the widely-used programming language on the internet.
- JavaScript was developed to add interactivity, validation, and dynamic behavior to the web, which was previously static.
- Netscape, the dominant browser company at the time, sought a lightweight scripting language for web designers, leading to the creation of JavaScript.
- Java and C++ were not suitable for client-side scripting on browsers, prompting the need for a more accessible language like JavaScript.
- Initially named Mocha and LiveScript, JavaScript was later coined as a marketing tactic to ride the popularity wave of Java.
- JavaScript was designed around the needs of the early web, focusing on functions as first-class, prototypal inheritance, and browser event-driven interactions.
- Despite initial bugs and inconsistencies, JavaScript survived and evolved to become the most crucial language for web development.
- JavaScript's impact has lasted for decades, revolutionizing the web with its ability to bring interactivity and dynamism to web pages.
- Episode 2 will explore how JavaScript overcame challenges and emerged as a pivotal language on the internet.
- The journey of JavaScript showcases resilience, evolution, and significance in shaping the modern web landscape.
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Dev
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Ultimate guide to creating a pipeline(Apache Airflow)
- Apache Airflow is an open-source platform for workflows like ETL processes or reporting tasks.
- The guide covers setting up WSL on Windows, installing PostgreSQL, configuring Apache Airflow, and creating a DAG.
- For Windows users, WSL enables running a Linux environment for tools like Apache Airflow.
- PostgreSQL is set up to serve as the metadata database for storing Airflow information.
- Steps involve installing WSL, updating packages, installing PostgreSQL, and creating databases and users.
- Apache Airflow setup includes creating a virtual environment, setting environment variables, installing Airflow with PostgreSQL support, and initializing the database.
- Configuration steps include editing the airflow.cfg file, creating a DAGs folder, and optimizing Airflow settings.
- A sample DAG is provided for ETL processes using Python operators to extract, transform, and load data.
- The guide also covers starting the Airflow webserver and scheduler, accessing the Airflow UI, and confirming database connections.
- The process involves thorough steps from installations to configuration for a seamless data pipeline setup.
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Dev
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Why is my React component flickering?
- React component re-renders can happen even if no visible change occurs.
- React.memo can be used to prevent unnecessary re-renders in components that do not change.
- Using useMemo with Context can ensure the value remains the same if the data hasn't changed.
- Context re-renders children if the value changes, even if the value appears the same.
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Medium
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Linear Algebra For Machine Learning — Explained Visually
- Linear algebra is a crucial language behind high-dimensional data, embeddings, PCA, and neural networks in machine learning.
- Understanding linear algebra helps in improving models and debugging them when issues arise.
- Matrices are powerful transformations that act on vectors, enabling rotations, scaling, flipping, or squashing of data.
- Eigenvalues and eigenvectors play a significant role in understanding transformations and finding hidden structures in data for applications like PCA and SVD.
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Self-Learning-Java
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Understanding Prometheus Metrics for Beginners
- Prometheus metrics provide insights into the performance of applications and systems, helping monitor their health.
- In a Prometheus configuration file, targets are specified for scraping metrics at defined intervals.
- Metrics retrieved from Prometheus are accessible via the /metrics endpoint.
- Prometheus metrics consist of helpful components like HELP, TYPE, metric name, and value.
- Common metric types in Prometheus include counter, gauge, summary, and histogram.
- Counters are ideal for tracking values that only increase, like memory usage or request counts.
- Gauges represent numerical values that can fluctuate over time and are suitable for current-state tracking.
- Summary metrics in Prometheus track events and their durations, providing insights into distributions.
- Histogram metrics in Prometheus enable the observation of data distribution in predefined buckets.
- Understanding Prometheus metrics, their types, and usage can optimize monitoring and troubleshooting processes.
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Medium
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How I Created Stunning 8K Movies in Hours
- Advancements in technology, particularly in artificial intelligence, have made it possible for aspiring filmmakers to create stunning 8K cinematic movies with tools like AI MovieMaker.
- AI MovieMaker has revolutionized the creative process for many users, allowing them to complete projects in significantly less time and achieve remarkable results, such as garnering thousands of views in a short period.
- The software democratizes filmmaking by enabling people from various backgrounds to express their creativity effortlessly, like turning raw footage into engaging videos without the need for extensive editing.
- Users can generate income through affiliate marketing, create captivating promotional videos, benefit from a supportive community, and access tutorials to enhance their filmmaking experiences with AI MovieMaker.
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PlanetPython
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EuroPython: AI Keynote Reveal, Python Documentary Premiere & Last Chance for Combined Tickets
- Tickets for EuroPython are still available, but combined and tutorial tickets are almost sold out.
- Keynote speaker, Nerea Luis, will discuss the impact of generative AI on developers, managers, and tech professionals.
- A documentary on the history of Python, featuring over 20 core developers, will premiere at EuroPython.
- Last chance to apply as an on-site volunteer for EuroPython from July 14–20 by June 1st.
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Dev
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Seeing the World: A Beginner's Guide to Convolutional Neural Networks (CNNs) with PyTorch
- Convolutional Neural Networks (CNNs) are powerful neural networks specifically designed for handling image data and have revolutionized computer vision.
- Traditional neural networks face challenges with image data due to the large number of parameters, slow training, and lack of spatial understanding.
- Convolutional layers in CNNs use filters to efficiently process images, providing parameter efficiency, location invariance, and hierarchical feature learning.
- Essential CNN operations include zero padding for controlling spatial dimensions and max pooling to reduce spatial dimensions and complexity.
- A typical CNN architecture consists of a feature extractor (convolutional layers and pooling) and a classifier (linear layers for prediction).
- Activation functions like ReLU are crucial for CNNs to learn complex patterns, and handling image data in PyTorch involves using torchvision library.
- Data augmentation, training loop definition, and evaluation metrics like accuracy and F1 Score are essential for training and evaluating CNN models.
- Strategies to combat overfitting in CNNs include dropout, batch normalization, weight decay, and early stopping.
- Modern CNN architectures like VGG, ResNet, Inception, and EfficientNet offer improved performance and are available for transfer learning.
- Understanding how CNNs process images and utilizing techniques like data augmentation and regularization are key to building robust computer vision models.
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Johndcook
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Interpolation instability
- Interpolating at more points does not always give a more accurate approximation, as demonstrated by the famous example by Runge.
- Runge's example shows that interpolating 1/(1 + x²) over the interval [-5, 5] with more interpolation points can actually increase the maximum interpolation error.
- Factors that contribute to Runge's example include evenly spaced interpolation nodes and singularities in the complex plane too close to the domain.
- Using Chebyshev nodes and interpolating analytic functions around the unit interval can mitigate the issues of interpolation instability.
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PlanetPython
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EuroPython Society: Board Report for April 2025
- EuroPython Society focused on discussing the 2026 venue and launched the Call for Venues in April 2025.
- Activities included releasing the schedule, coordinating related tasks, confirming event details, signing contracts, and handling administrative duties.
- Various team members worked on sponsor management, infrastructure updates, communication tasks, design coordination, grant work, financial aid program, visa applications, and accounting updates.
- Specific tasks ranged from managing event logistics and programs to website updates, promotional material orders, grant communications, and financial aid distribution.
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Medium
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ERC-20 Explained: The Token Standard That Powers Ethereum’s Economy
- ERC-20 is the token standard widely used on Ethereum, enabling the creation and smooth functioning of thousands of cryptocurrencies on the same blockchain.
- ERC-20 sets rules and guidelines for how tokens should behave on Ethereum, providing standardization and order in the cryptocurrency ecosystem.
- ERC-20 has become the default token standard on Ethereum due to its simplicity in launching tokens, creating a common language for developers globally.
- ERC-20 defines core functions and events like totalSupply, balanceOf, and transfer, making it easier for wallets, exchanges, and dApps to interact with any ERC-20 token.
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Dev
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For Speed Enthusiasts: The Ultimate Evolution of Rust HTTP Engines
- Hyperlane is a lightweight and high-performance Rust HTTP service library built on the Tokio asynchronous runtime.
- It offers zero dependencies, cross-platform compatibility, high throughput, flexible middleware, and multi-protocol support.
- Hyperlane's exceptional performance under heavy concurrency positions it as a top choice for building high-performance web services in Rust.
- For developers looking for speed, reliability, and efficiency, Hyperlane stands out as a premium alternative to other frameworks like Rocket and Actix.
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Dev
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Build High-Performance Web Services with Hyperlane
- Hyperlane is a lightweight and high-performance Rust HTTP server framework designed to simplify network service development.
- Built entirely in pure Rust using the standard library, Hyperlane offers cross-platform compatibility and leverages Tokio's asynchronous runtime for network communication.
- Key features of Hyperlane include HTTP request parsing, middleware support, WebSocket and Server-Sent Events for real-time communication, and a user-friendly API design.
- Hyperlane's performance benchmarks show competitive results compared to other frameworks, and the project is open for contributions under the MIT license.
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