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What is GNU/GCC, Clang/LLVM

GNU is a collection of free software that can be used as an operating system or with other operating systems.
GNU implements POSIX standards and can be built with different kernels like HURD or run on Windows with WSL 2.
Linux can be combined with different user-land software, such as Android or Alpine.
GCC (GNU Compiler Collection) is a free and open-source collection of compilers from the GNU Project.
GCC is well-known for C, C++, and Fortran compilers and is used to compile source code into executable programs.
Clang is a compiler front end for C family languages that uses LLVM as its back end, serving as an alternative to GCC.
LLVM (Low Level Virtual Machine) is a modular compiler infrastructure used to build compilers and tools.
Clang handles lexical analysis, syntax parsing, and semantic analysis specific to C/C++/Objective-C/Objective-C++ languages.
LLVM's back end performs optimization and code generation, producing machine code for different CPU architectures.
Compiler Front End processes source code's language-specific aspects like lexical analysis and semantic checks.
Compiler Back End takes intermediate representation from front end and produces machine code through optimization and code generation.

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Dev

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Junior Year Self-Study Notes My Journey with the Framework（1750009394625300）

Hyperlane is a high-performance Rust Web framework engineered for speed, zero platform dependency, and modern development.
Performance benchmarks show Hyperlane outperforms actix-web and axum in QPS for both wrk and ab tests.
The framework simplifies web service development with Rust's safety and concurrency features.
Context abstraction in Hyperlane offers concise methods for handling requests improving code readability.
Routing and HTTP method macros help simplify RESTful API implementation in Hyperlane.
Understanding response APIs in Hyperlane assists in managing responses and connections effectively.
Hyperlane follows the middleware onion model for handling requests and responses through layers of middleware.

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Dev

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A Duet of Performance and Safety（1750009390624000）

The article explores Hyperlane, a Rust-based web backend framework known for its performance and safety features.
Hyperlane is highlighted for its extreme speed, zero platform dependency, and leveraging Rust's safety and concurrency for efficient HTTP services.
Performance benchmarks showcase Hyperlane's superior performance compared to other frameworks like actix-web and axum.
The article delves into Rust's memory safety, Ownership, Borrowing, and Lifetimes system, eliminating memory safety issues and enhancing stability.
Hyperlane's use of Tokio for concurrency handling is discussed, ensuring efficient management of large numbers of concurrent requests.
The framework's macro system simplifies code aesthetics, reducing redundancy and enhancing development efficiency.
Flexible middleware architecture enables logical decoupling for better code reusability and testability.
Hyperlane demonstrates significant performance advantages over mainstream dynamic language frameworks, making it ideal for high-concurrency scenarios.
The article highlights the growth potential of Rust's ecosystem and mentions the importance of community building for the framework's development.
Practical insights emphasize not just speed but stability, elegance, and improved code quality, making Hyperlane a promising choice for web backend development.
Conclusion encourages young developers to embrace change, continuous learning, and consider Hyperlane as a core engine for next-generation web applications.

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Medium

384

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Kotlin Property Getters and Setters Behind the Scenes

Kotlin property getters and setters are generated based on the property structure and accessors included.
Usage of val creates a getter and var creates both getter and setter. No backing field is generated for val properties.
Back to the field is used inside accessors and is required, like when an initializer is present or lateinit is used.
Customized accessors can be defined in Kotlin to fine-tune behavior without extra work.
Visibility can be adjusted for individual accessors, controlling read and write access at the method level.
Annotations like @JvmField and @JvmStatic impact how Kotlin properties are compiled and interact with Java code.
Usage of val, var, and annotations can change property behavior and visibility in Java bytecode.
Property mutability and annotations like @JvmField affect how Kotlin properties are seen and accessed from Java.
Kotlin's approach to property handling involves interactions between fields, methods, visibility, and annotations.
Delegated properties in Kotlin also interact with mutability and affect Java bytecode translation.

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Dev

317

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A Developer’s Identity Crisis

Developers are facing an identity crisis with the shift from monoliths to microservices.
In the monolith era, developers had a comprehensive view, but with microservices, they focus on specific components.
Despite promises of autonomy, microservices often create dependencies and hurdles for developers.
Monoliths hold a story, while microservices are designed to be efficient but forgetful.
Engineers desire narrative and clarity, but modern tools emphasize modularity and distribution.
Developers need systems that are decomposed yet discoverable, enabling them to feel whole and welcomed.
Author Nigel Dsouza highlights the challenges and importance of reclaiming developers' identities in a distributed world.

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Medium

207

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Learning Through Puzzles

A college math instructor is excited to start a new job teaching Calculus I and Introduction to Statistics.
The instructor is considering ways to make math teaching more enjoyable beyond rote memorization.
Martin Gardner emphasized the fun aspects of mathematics through thought experiments.
Gardner aimed to show the joy of math and how to explore the world through numbers.

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Medium

1.8k

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14 Open-Source Tools That Will Sharpen You Into an Ultimate Developer

Developers often seek tools to enhance their workflows and solve problems efficiently.
Becoming a top-tier developer involves leveraging the right tools along with writing clean code.
The author has explored various open-source tools that can revolutionize development processes.
The guide highlights 14 battle-tested open-source tools that cater to building web apps, APIs, infrastructure, and games.
These tools are valuable for developers working individually, within startups, or in large enterprise systems.

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Dev

105

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The Power of git reflog: Fix Broken Git History

Git reflog is a powerful tool that records every change to HEAD and branch tips in Git, allowing developers to recover lost commits, undone changes, and interrupted rebases.
It is helpful in scenarios like resetting too far, crashes during Git operations, accidental amendments to commits, needing unmerged work, or recovering after a forced push or merge conflict.
By leveraging git reflog along with commands like git stash, git reset --soft, git cherry-pick, and git revert, developers can manage their Git history effectively and recover from mistakes.
Pushing work to a remote repository frequently is still recommended to ensure data safety, even though git reflog provides a local safety net for Git operations.
Git mastery allows developers to recover from mistakes, perform daring refactors, experiment without fear, and fix critical bugs confidently.
The article emphasizes the importance of mastering Git commands, using git reflog as a safety net, and following best practices like pushing work to remote repositories.
The author shares a personal example where git reflog helped recover changes after an unintended rebase, highlighting the practical value of understanding and utilizing Git tools effectively.
Readers are encouraged to share their experiences with Git commands like git reflog and learn how these tools can enhance their workflow and coding confidence.
The article concludes by stressing the significance of git reflog in handling Git operations effectively, ensuring data recovery, and fostering a culture of continuous learning and improvement.
Learn to leverage Git tools like git reflog to manage code changes effectively, recover from mistakes, and build confidence in handling version control.
The power of git reflog lies in its ability to track every HEAD movement, assisting developers in regaining control over their code history and making informed decisions when facing setbacks.

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Dev

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How to Enhance Phoenix LiveView Interfaces Using Tailwind CSS and Alpine.js

Phoenix LiveView allows building real-time UIs with minimal JavaScript while incorporating Tailwind CSS and Alpine.js for dynamic client-side interactions.
Tailwind CSS offers utility-first classes for responsive design without CSS bloat, while Alpine.js provides minimal JavaScript for declarative interactivity in HTML.
Combining LiveView, Tailwind CSS, and Alpine.js results in a modern, fast, and maintainable stack.
To get started, set up Tailwind CSS in your Phoenix app and use utility classes in templates for styling.
Integrate Alpine.js by including it via CDN and use its declarative attributes within LiveView templates for interactive features.
Best practices involve utilizing LiveView for server-side logic and Alpine.js for small UI interactions.
Responsive and animated UI elements can be easily achieved using Tailwind's responsive utilities and Alpine toggles.
Alpine's x-transition enables smooth animations without additional CSS or JavaScript.
This approach is lightweight, maintainable, fast, and scalable, allowing for easy feature addition.
For more comprehensive guidance on using Phoenix LiveView effectively with Tailwind CSS and Alpine.js, a PDF guide is recommended.
The guide empowers developers to create user-friendly interfaces efficiently.
Overall, the combination of Phoenix LiveView, Tailwind CSS, and Alpine.js offers a powerful solution for building interactive web applications.
The stack provides a balance between server-side functionality and client-side interactivity, enhancing the user experience.
Given the informative and instructional nature of the content, the article is eligible for web story generation.

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Dev

132

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The best testing strategy

Choosing the right testing strategy involves considering unit, integration, and end-to-end tests, each with different focuses and implications.
Unit tests verify small code components, while integration tests cover larger sections like APIs, and end-to-end tests examine the program from the user's viewpoint.
Comparisons between the test types highlight factors such as confidence, speed, ease of use, coverage, testing input combinations, and compatibility with TDD and refactoring.
Each test type has its advantages and drawbacks, with considerations like confidence level, test speed, and effort needed to maintain and run the tests.
The efficiency of the test suite plays a vital role in bug filtering, where confidence is measured by how efficiently bugs are identified.
Addressing speed concerns, running tests in parallel can help expedite the testing process, especially in significant projects.
Efforts should be guided by a combination of automated testing, manual testing, code reviews, and production monitoring to ensure stability and prevent incidents.
The bottom line emphasizes the importance of focusing on achieving confidence, minimal effort, and reasonable speed in testing methodologies, rather than adhering strictly to preset testing frameworks.
Ultimately, the goal is to tailor testing approaches to the specific needs of the project, incorporating varied types of tests as required to ensure comprehensive coverage.
In conclusion, a flexible and pragmatic approach to testing, focusing on key values like confidence and speed, is more beneficial than rigid adherence to predefined testing models.

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Dev

207

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The New Generation of High-Performance Web Frameworks（1750003597049000）

Hyperlane, a Rust Web framework, is emerging as a high-performance contender.
Comparison with Actix-Web and Axum in terms of performance, features, developer experience, and architecture.
Hyperlane advantages include zero platform dependency, extreme performance optimization, flexible middleware mechanism, and built-in real-time communication.
Hyperlane offers straightforward middleware configuration, support for multiple HTTP method route macros, WebSocket examples, and SSE data push functionality.
Robust routing capabilities with support for dynamic and regular expression matching.
Performance-focused features like pre-configured TCP and buffer parameters for high throughput.
Developer-centric experience with asynchronous chain call mode and unified interface.
Hyperlane excels in SSE/WebSocket support, asynchronous chain API, routing with regular expressions, middleware support, platform compatibility, and low dependency complexity.
Hyperlane is recommended for high-performance, lightweight deployment, and rapid development of future-oriented Web applications.
Getting started with Hyperlane by adding it to Cargo and accessing quick templates and online documentation.

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Self-Learning-Java

326

Row-Level Security in BigQuery Using Views and SESSION_USER()

BigQuery lacks native support for fine-grained row-level security, but it can be simulated using views, SESSION_USER(), and join tables.
To implement row-level security in BigQuery, create a base table with sensitive data, a mapping table for user access, and a view that restricts data based on the logged-in user.
Create a base table with sensitive data using the CREATE TABLE statement.
Insert data into the customer_orders table using the INSERT INTO statement.
Create a table to manage row-level access and insert user emails into it.
Create a view that filters data based on the SESSION_USER() function.
The view joins the base table with the mapping table and filters rows based on the logged-in user's email.
Advantages of this approach include compatibility with standard BigQuery, scalability for multi-user scenarios, and centralized logic in the view.
This method provides a simple and powerful way to safeguard sensitive data in BigQuery by leveraging externalized access logic and SESSION_USER().

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Self-Learning-Java

348

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How to Restrict Access in BigQuery Using Views?

In BigQuery, permissions are granted at the dataset level, not at the table or view level.
To restrict access to a filtered version of a table, use views in a separate dataset.
Example: Creating a view with limited data access for different teams in BigQuery.
Steps to implement: Create two datasets, create a table in one dataset, insert data, create a view in another dataset, and grant permissions to the view dataset only.
Pros of this approach: Granular control, enhanced security, clear separation of data.
Cons: Slightly more setup and management, cross-dataset access may need careful permission handling.
Note: Grant the view's dataset service account permission to read the base dataset.
Using views in a separate dataset allows for limited data access in BigQuery, aligning with the platform's security model.

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Self-Learning-Java

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Getting Started with Alerting in Prometheus

Alerting in Prometheus helps in getting notified when something unusual happens in the system.
Prometheus checks conditions using PromQL to trigger alerts like when a server goes down or CPU usage is high.
Alertmanager works with Prometheus to send alerts via various channels like Email, Slack, PagerDuty.
Alertmanager reduces alert fatigue by grouping, deduplicating, silencing, throttling, and routing notifications.
Clear and descriptive naming conventions for alerts are recommended for better understanding.
Alert rules in Prometheus are written in YAML files with a name, condition (PromQL), and additional info.
An example alert rule checks for the service 'node_exporter' being down.
The alert rule file needs to be added to the prometheus.yml configuration.
The Prometheus configuration needs to be reloaded after making changes.
When an alert condition is true, the alert switches to a FIRING state.
Alertmanager then sends notifications through configured channels.
Email, Slack, PagerDuty, or other channels can be used for notification delivery.
Understanding Prometheus alert status helps in monitoring system health effectively.
Alerts help in timely responses to system issues, reducing downtime and resolving issues faster.
Writing clear alert rules and leveraging Prometheus and Alertmanager enhance system monitoring.
The guide provides insights on setting up alerts in Prometheus for effective system monitoring.

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Self-Learning-Java

257

Validate Your Prometheus Rules Using promtool on macOS

Promtool is a tool that helps validate custom recording and alerting rules in Prometheus on macOS.
It is a command-line utility that checks rule file validity, verifies PromQL queries, tests alert rules, and debugs time series data.
You can install promtool on macOS using Homebrew by executing 'brew install prometheus'.
Alternatively, you can download the binary from the Prometheus website by extracting the macOS tarball.
To validate rule files, use the 'promtool check rules filename.yaml' command.

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