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How to Learn API Development?

An API (Application Programming Interface) allows software applications to communicate by defining methods and data formats for information exchange.
Types of APIs include REST (Representational State Transfer), SOAP (Simple Object Access Protocol), GraphQL, and gRPC (Google Remote Procedure Call).
API Request methods include GET, POST, PUT, PATCH, DELETE, and response codes like 2xx for success, 4xx for client errors, and 5xx for server errors.
Authentication mechanisms include API keys, Basic Auth, JWT, OAuth 2.0, with security strategies like HTTPS, input validation, rate limiting, and monitoring for abuse.

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Medium

257

The Code War: Hacker vs Developer

Arafat, a skilled hacker, and Rahim, a talented developer, settled their debate through a virtual showdown.
Rahim built a secure web application with best practices like encryption, firewalls, and clean code, and challenged Arafat to break into it.
Arafat found an old vulnerability in a forgotten library, launched an injection, and successfully breached the database.
While Rahim acknowledged Arafat's win for the day, he hinted that the battle between developers and hackers is ongoing, with each side playing a crucial role in cybersecurity.

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Dev

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Phi 4 Reasoning Benchmarks, Model Specs, and Comparisons

Phi 4 Reasoning is the latest LLM model series from Microsoft, released on April 30th, 2025, designed for reasoning tasks.
The Phi 4 Reasoning series includes phi4-reasoning-plus (14.7B params), phi4-reasoning (14.7B params), and phi4-mini-reasoning (3.8B params). All models are licensed under MIT.
Phi 4 Reasoning models perform well for math reasoning tasks but may not excel in general purpose applications. They have a limited context window and a training data cutoff of March 2025.
While Phi 4 Reasoning demonstrates strong performance in math reasoning tasks, it may not be suitable for broad, general-purpose applications, according to personal experiences shared in the article.

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Medium

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What is Graceful Shutdown? and how it affect our application?

Graceful shutdown is a controlled process where an application terminates in an orderly manner, minimizing impact on end-users.
During deployments or system terminations, graceful shutdown ensures minimal disruption and fast recovery times.
Operating systems send SIGTERM signals to applications to initiate graceful shutdown.
In HTTP servers, in-flight requests may be affected if not handled properly during graceful shutdown, risking data loss or corruption.

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Dev

454

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Using nanostores in Astro + Vue setup

Astro is a growing framework with a static-first architecture.
The challenge arose when needing to access Astro's context object within a Vue component.
To tackle this, options include making a Vue Prop for it or using a shared state manager like nanostores.
For the solution, the author chose to use nanostores by installing it, creating a context file, importing and using it in the Astro page and Vue components.

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Dev

220

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Understanding Python Concurrency: Multithreading VS AsyncIO

Python programming offers multithreading for concurrent programming to enhance program execution efficiency, especially in I/O-intensive tasks.
The threading module facilitates multithreading programming in Python by providing tools for creating and managing threads.
Code practice example showcases multithreading for parallel image downloading using the threading module.
Thread safety and lock mechanisms are crucial in multithreading to prevent race conditions and ensure proper resource access.
Multithreading is ideal for I/O-intensive tasks but may face limitations in CPU-intensive scenarios due to Python's GIL.
Exception handling in multithreading requires careful consideration to manage exceptions raised in different threads.
Performance optimization of multithreading can be achieved through techniques like thread pools and efficient queue management.
Asynchronous programming with coroutines in Python asyncio module offers efficient handling of I/O-intensive tasks without creating multiple threads.
Comparison between asynchronous programming and multithreading highlights their respective performance and complexity aspects.
Advantages of asynchronous programming include high concurrency and resource efficiency, suitable for I/O-intensive tasks.

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Dev

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May the Nodes Be with You

Knowledge graphs are vital tools to visualize and explore data, requiring a good schema to define entities and relationships for optimal results.
Utilizing an LLM for extracting entities and relationships can assist in generating Cypher queries, but poses risks like hallucinations and data privacy concerns.
Working with structured data allows for programmatically building Cypher queries without data privacy risks, using JavaScript functions for data mapping.
The guide involves utilizing the Star Wars API to extract data, mapping it to Cypher queries, and building knowledge graphs for visual data exploration.
Methods like merging data from multiple endpoints with JavaScript and generating Cypher queries for graph building are demonstrated in the guide.
A JavaScript function is used to convert URL-based data to meaningful entity names for constructing the knowledge graph effectively.
Creating a Cypher query via Neo4j's REST API and running it helps in inserting data into the Neo4j graph database for visualization and analysis.
The guide emphasizes the importance of using structured data and JavaScript for building knowledge graphs to ensure clear relationships and a structured approach.
By avoiding the risks associated with LLMs and focusing on structured data mapping, users can efficiently convert data into interactive knowledge graphs.
In conclusion, the approach of programmatically building Cypher queries with structured data leads to more reliable and secure knowledge graph generation.

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Dev

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FlaskApp: Get your Flask app up and running in seconds

FlaskApp: This project is a simple Flask application template with Docker support for easy deployment and development.
Prerequisites: Make sure to have Docker and Docker Compose installed before working on the project.
Instructions: Commands like 'start', 'stop', 'setup', 'clear', 'build', and 'deploy' are available to manage the project.
Ready to Start: Clone the project, explore the code, and utilize the template for building web applications. Contributions via pull requests are welcome.

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Dev

294

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🚢 How to Make Your K8s Cluster — a Great Cluster

Kubernetes clusters are easy to spin up, but the challenge lies in making one that's secure, scalable, and developer-friendly.
The article provides a guide on creating a great K8s cluster, based on experience with production-grade clusters.
Key features highlighted include Terraform/Ansible-based provisioning, GitOps workflows, secrets management via Vault, monitoring with Prometheus and Grafana, chaos testing, and more.
The blueprint can be adapted for EKS, GKE, or bare-metal clusters, emphasizing the importance of continuous improvement for cluster quality.

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Medium

238

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Day 3 of 20: Teach JavaScript to Make Decisions — Master Conditions That Power Every App

JavaScript conditions are essential for writing smart and responsive logic in code.
Conditions are used for making choices in code, like displaying different messages to users or controlling game logic.
JavaScript conditionals are great for basic checks, scenarios with clear true/false outcomes, multiple possible outcomes, concise conditional assignments, and comparing a single variable to many constants.
Mastering JavaScript conditionals is key to developing applications that can make decisions based on different scenarios.

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Dev

354

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The new Cypress features you should be using

Cypress has introduced new features like cy.session(), cy.press(), and cy.stop() to enhance end-to-end testing.
cy.session() helps in smarter state caching, improving test speed by avoiding repeated login steps with cached browser state.
cy.press() allows for real keyboard event simulation, enhancing keyboard behavior testing and navigation.
cy.stop() enables pausing test execution programmatically, aiding in debugging, live demos, and investigating failures.

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Dev

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Turn any photo into a color palette – made a tool for designers & artists

Designer/developer created a free web tool for generating color palettes from images.
Tool provides color palettes in HEX, RGB, HSL formats based on uploaded images.
Users can choose extraction methods like Vibrant, Material Design, Median Cut, K-Means for different palettes.
Tool operates in the browser without uploading data to a server. Feedback and feature suggestions are welcome.

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Johndcook

The first fork

This post focuses on the range 3 ≤ r ≤ 1 + √6 of the logistic map, analyzing the first fork of the image where it splits into two stable branches.
For r values between 3 and 1 + √6, there is no stable fixed point but a stable cycle is present, with points near one cycle point transitioning to the other.
Iterations starting with x = 0.1 and r = π demonstrate convergence to two cycle points at 0.5373 and 0.7810, with the first 20 iterates provided.
As r exceeds 1 + √6, stable cycle points become unstable, leading to period doubling where new cycle points emerge, eventually reaching chaotic behavior beyond r = 3.56995.

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Medium

Why Striving for Perfectionism as a Beginner Is Misguided

When learning to code, striving for perfection too early can hinder progress by replacing curiosity with stress.
Focusing on clean code is great, but fixating on perfection can prevent experimentation and learning through mistakes.
Programming is about problem-solving, which involves breaking down tasks, moving data, and troubleshooting.
Writing small pieces of code, testing them, and fixing errors is crucial for real understanding and skill development.
Prioritize functionality over elegance in the beginning stages of coding to see tangible results and build confidence.
Asking for feedback on working code with specific questions can aid in targeted improvement without unnecessary tweaking.
Embrace the process of building, breaking, and fixing code to facilitate growth and enhance coding proficiency.
Confidence in coding comes from trying, failing, and persisting through challenges, not from achieving perfection.
Instead of seeking perfection, focus on making progress, celebrating small victories, and learning from mistakes to advance skills.
Writing functional, albeit messy, code initially and refining it gradually leads to better understanding and skill enhancement.

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Dev

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Building "Production-Grade" APIs in .NET

Building and deploying APIs into production requires more than just functionality.
For an API to be truly production-grade, it needs to be intuitive, observable, resilient, secure, and automated.
Key aspects of a production-ready API include developer experience, observability, resilience, security, and deployment automation.
Following a structured framework can help in designing APIs that can withstand real-world usage beyond development and QA.

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