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Here’s how you can type check your CSS properties and values.
- CSSType can be used to type check CSS properties and values in CSS.
- CSSType package provides autocompletion and type checking for CSS properties and values using TypeScript and Flow definitions.
- CSSType usage was found in Inferno's codebase at specific locations like package.json, core/types.ts, and tests/styles.spec.tsx.
- In core/types.ts, CSSType's PropertiesHyphen is imported and used as a type in the HTMLAttributes interface to handle kebab-cased CSS properties.
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Dev
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🚫 Top 10 Common Mistakes in Kotlin Programming
- Ignoring Null Safety: Use ?., ?:, and !! carefully. Prefer safe calls and smart casting.
- Overusing !! (Not-null Assertion): Use null-safe operators and proper null checks instead of using !! too much.
- Misusing var Instead of val: Prefer val for safer, more predictable code by declaring variables as immutable when necessary.
- Ignoring Scope Functions Properly: Choose the right scope function for the right purpose to avoid common mistakes.
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Dev
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Why You Need Proxy IPs to Enhance Web Data Scraping
- Proxy IPs play a crucial role in data scraping by masking the original IP address and enhancing security.
- They help maintain anonymity, prevent rate limiting, access geo-restricted content, and improve scraping success rates.
- Using proxy IPs allows requests to be distributed across multiple IP addresses, reducing detection risks and ensuring efficient scraping.
- When choosing a proxy service, factors like IP pool size, geographical coverage, speed, reliability, and protocol support should be considered.
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Medium
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Do’s and Don’ts in Go: Writing Idiomatic and Maintainable Go Code
- Embrace idiomatic Go style and conventions for writing maintainable code.
- Use defer for cleaning up resources like files, network connections, and mutexes.
- Handle errors explicitly in Go rather than swallowing or ignoring them.
- Follow best practices for dependency management, concurrency control, error handling, and API design.
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Medium
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Welcome to Another Insightful Tech Guide!
- Different browsers like Google Chrome, Mozilla Firefox, and Microsoft Edge offer unique features for real-time collaboration.
- Powerful collaboration tools such as Microsoft Teams, Slack, and Trello enhance teamwork for IT professionals.
- Embracing the right browsers and tools can maximize productivity and drive success in the tech industry.
- Real-time collaboration is essential for IT professionals to improve workflow integration and communication within teams.
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Dev
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How to Fix Typescript Errors with Promise.allSettled?
- Issues with TypeScript build failing due to Promise.allSettled errors are common.
- Promise.allSettled() method returns an array of objects describing outcomes of Promises.
- To fix TypeScript errors, define interfaces for Promise results and correctly type Promise.allSettled call.
- Ensure Promises conform to defined interfaces to access 'value' property and handle errors effectively.
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Dev
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How to Fix Active Page Not Updating in Google Tag Manager with Angular
- When integrating Google Tag Manager (GTM) with an Angular application, the issue of the active page not updating correctly while navigating between routes can arise.
- GTM is typically set up to detect page views based on traditional page loads, which can lead to discrepancies in single-page applications like Angular apps where page reloads do not occur.
- To address this issue, steps include ensuring proper GTM configuration by adding the GTM container script and implementing Angular routing events to track page changes accurately without requiring page refresh.
- Testing the implementation using Google Tag Manager's Preview Mode or Realtime Overview allows verification of the active page updates without the need for manual refreshes.
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Dev
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Important Considerations When Using Go's Time Package 9/10
- When comparing time values in Go, understanding the differences between using the equality operator (==) and the Equal() method is crucial.
- The == operator considers all fields of the time.Time struct, while Equal() method compares only the time instant.
- The Equal() method is recommended for comparing time instants to avoid bugs, especially when dealing with different time zones or databases.
- Time precision can vary across OS environments; Windows typically has a lower resolution compared to Linux and macOS.
- For precise timing, avoid relying on short sleeps due to OS timer resolution and consider using alternative approaches for high-precision needs.
- Proper timer usage is essential in Go for efficient scheduling, including reusing timers instead of creating new ones and implementing timer pools for high-volume applications.
- Performance considerations with timers and tickers include managing resources efficiently, grouping timers, and utilizing alternative approaches for high-frequency timing needs.
- Understanding concurrency issues with time operations in Go involves using context timeouts, handling race conditions with timer reset, and synchronizing time access in distributed systems.
- Handling time parsing and formatting errors in Go requires following the reference time pattern, using predefined formats, and being explicit about time zones and missing parts.
- Robust time parsing involves error handling, trying multiple formats for uncertain inputs, and providing clear examples of expected date formats.
- By adhering to best practices for time handling in Go, developers can avoid common pitfalls, ensure efficient performance, and write robust and reliable code.
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Towards Data Science
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Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer
- Google's AlphaEvolve is a system that generates and evolves code, allowing it to discover new algorithms and revolutionize coding and algorithm design, powered by Google's Gemini models.
- AlphaEvolve functions like natural selection for software using Genetic Algorithms, refining code iteratively through intelligent prompting, creative mutation, survival of the fittest, breeding of top programs, and repetition.
- Building on previous attempts like AlphaCode and FunSearch, AlphaEvolve utilizes Gemini's capabilities to tackle entire codebases and has diverse applications in optimizing efficiency and designing AI chips.
- AlphaEvolve demonstrated results like optimizing Google's data centers, designing better AI chips, accelerating AI training, and rediscovering human solutions in mathematics problems.
- One significant implication of tools like AlphaEvolve is the potential for AI to self-improve and accelerate progress towards more powerful artificial intelligence models.
- AlphaEvolve could represent a paradigm shift in various fields by becoming a creative partner in discovery and innovation, moving towards AI that creates code entirely and aids in solving complex problems.
- The future holds possibilities where AI evolves and discovers optimal solutions, leading to unexpected advancements, and the next few years are anticipated to be transformative in the field of AI.
- References and related reads are available on DeepMind's blog post and white paper on AlphaEvolve, showcasing its potential in computational chemistry, biology, data analysis, and plotting through natural language requests.
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Medium
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Recursive Resolution to the Millennium Problems
- The work proposes a resolution to the Millennium Problems based on recursive geometry and dimensional emergence.
- Dimensionality arises from a particle deviating from its path, generating axes and forming structures.
- Mass is described as centrifugal recursion, influenced by sustained rotational motion.
- Collapse is seen as phase return rather than failure in geometric and physical systems.
- The article delves into illusions like Navier-Stokes, Yang-Mills, Riemann, Birch and Swinnerton-Dyer, Hodge, and Poincaré.
- Verification and resolution converge in recursive systems, exemplified in the P vs. NP problem.
- The mathematical foundation involves defining a tetrahedron and calculating mass as a function of rotational velocity and radius.
- Recursive reabsorption is highlighted, emphasizing contribution to need and surplus resource redirection.
- Ethics is portrayed as field alignment rather than belief, with a focus on energy-efficient computation and system optimization.
- Perception, speed, misalignment, and recursion play key roles in system functioning and problem-solving.
- The conclusion underscores that there are no problems, only distortions, and offers a comprehensive resolution to the issues discussed.
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Towards Data Science
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Understanding Random Forest using Python (scikit-learn)
- Decision trees are a popular supervised learning algorithm, but are prone to overfitting, leading people to use ensemble models like Random Forests.
- Bagging involves creating multiple training sets from the original dataset by bootstrapping and aggregating multiple decision trees.
- Random Forests differ by randomly selecting features at each decision node, reducing overfitting and improving generalization.
- Random Forests utilize sampling with replacement for bootstrapped datasets and sampling without replacement for feature selection.
- Out-of-Bag (OOB) evaluation allows estimating generalization error by excluding some training data from each tree.
- Training a Random Forest includes creating a baseline model, tuning hyperparameters with Grid Search, and evaluating the final model.
- Feature importance in Random Forests can be calculated using Mean Decrease in Impurity or Permutation Importance methods.
- Visualizing individual decision trees in a Random Forest can illustrate how differently each tree splits the data.
- Random Forests remain popular for tabular data analysis due to their simplicity, interpretability, and parallelizability.
- The tutorial covers bagging, Random Forest differences, training, tuning, feature importance, and visualization using Python with scikit-learn.
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Dev
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End-to-End DevOps: Running a .NET App in Kubernetes with Docker, ACR, and AKS
- The article demonstrates the process of deploying a .NET application in Kubernetes using Docker, Azure Container Registry (ACR), and Azure Kubernetes Service (AKS).
- The tutorial starts with building a sample web application in dotnet core using Visual Studio Code and testing it in a local Kubernetes cluster.
- The infrastructure creation involves cloning a repository, checking for the .Net SDK, and building the application.
- After testing locally, the process moves on to building a Docker image, containerizing the application, and running it on a local Kubernetes cluster.
- The deployment to Azure Kubernetes Service (AKS) is detailed, including creating an AKS cluster, connecting via Azure CLI, and pushing the Docker image to Docker Hub and Azure Container Registry.
- Scaling the application using Kubernetes commands and pushing the image to Azure Container Registry for AKS integration are explained in the article.
- The tutorial covers creating deployments, exposing services, checking statuses, accessing deployments outside the cluster, and scaling the application.
- The article provides a comprehensive guide for developers looking to deploy .NET applications on Kubernetes using Docker, ACR, and AKS.
- It emphasizes steps such as testing applications locally, building Docker images, and configuring Kubernetes deployments on Azure.
- The tutorial also includes instructions on pushing images to Docker Hub and Azure Container Registry, as well as scaling deployments in Kubernetes.
- The processes of connecting to AKS via Azure CLI, verifying node information, and pushing images to ACR for AKS deployments are well-documented.
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Dev
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Building a Scalable Real-Time Driver Tracking System
- The article discusses building a real-time delivery tracking system for a Zomato-like app using Flutter, NestJS, and Golang for the frontend and backend.
- It focuses on the core tracking logic that is language-independent and provides a GitHub link for the code.
- The prototype allows users to track a driver's live location on a map through WebSocket connections.
- The initial WebSocket setup for tracking drivers' locations is explained, but limitations arise with scalability for a large number of drivers.
- Implementing Redis Pub/Sub enhances scalability by targeting specific users and handling multiple server instances efficiently.
- Redis Streams Adapter further improves reliability, scalability, and message order compared to Redis Pub/Sub.
- The article introduces Kafka for massive scale applications and discusses its role in handling real-time data streams.
- Guidance is provided for frontend developers on interacting with the WebSocket server for tracking drivers' locations.
- A comparison of different approaches including basic WebSockets, Redis Pub/Sub, Redis Streams Adapter, and Kafka is presented with their pros and cons.
- Overall, the article offers insights into building scalable real-time driver tracking systems and future-proofing for enterprise-level applications.
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Dev
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Daily JavaScript Challenge #JS-180: Reverse Words in a String
- The Daily JavaScript Challenge involves reversing words in a string while maintaining the original word order but flipping the order of the words themselves.
- Participants are encouraged to fork the challenge, write their solution, test it against provided test cases, and share their approach in the comments.
- The challenge focuses on string manipulation, and developers can refer to documentation on string splitting in JavaScript for more information.
- Join the discussion by sharing your approach, any interesting edge cases, and your learnings from solving this challenge.
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Inside
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403
Episode 36 “Ahead of Time Computation” with Dan Heidinga
- OpenJDK’s Project Leyden aims to improve the startup and warmup time of Java applications by shifting computation from those phases to the applications' build time.
- Java 24 introduces ahead-of-time class loading and linking as the initial step towards achieving this goal.
- Dan Heidinga, JVM Runtime Architect at Oracle, discusses Leyden's approach, features available in its early access build, and those that are still in development.
- The episode features Nicolai Parlog interviewing Dan Heidinga, a member of projects Leyden and Valhalla, on the improvements and advancements in Java development.
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