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UNCRC Article 15 & 16

Article 15 of the UNCRC grants children the right to freedom of association, allowing them to come together with others.
Article 16 of the UNCRC guarantees children the right to privacy, ensuring their ability to keep things to themselves and feel safe.
These articles are important as they empower children to connect with others and protect their personal space.
Understanding and exercising these rights allows children to grow into confident individuals with a voice that matters.

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Medium

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Why I Love Java?

Java is a language of productivity, making complex challenges easier to handle through object-oriented programming.
The Java Virtual Machine (JVM) allows Java applications to run smoothly on multiple platforms.
Automatic memory management in Java reduces the chances of memory leaks and errors.
The large Java community provides a wealth of resources and solutions for developers.

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Zerynth

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Artificial Intelligence in the Manufacturing Industry: What Are the Benefits?

Artificial Intelligence (AI) can bring significant benefits to the manufacturing industry by enhancing operational efficiency, quality control, decision-making processes, and service offerings.
AI enables the transformation of massive amounts of data into actionable insights, leading to cost optimization, production optimization, enhanced decision support, improved product quality, and maintenance management support.
Through AI, inefficiencies can be identified and addressed, reducing energy consumption. Smart reports and data-driven decision-making become easier.
AI simplifies the interpretation of machine-generated data, enables timely interventions, enhances quality control processes, and supports maintenance management by monitoring data and preventing breakdowns.

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Javacodegeeks

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Introduction to Apache Commons Validator

Apache Commons Validator is a robust and reusable framework that simplifies the process of validating user input in Java applications.
The library includes predefined validation rules for fields such as email, dates, URL, numeric values, etc.
Developers can also create custom validation rules and configure them using XML files to separate validation logic from application code.
Apache Commons Validator supports locale-based validations for handling internationalization requirements.
The library can be used in both web and desktop applications, ensuring consistent validation logic across the application.
Apache Commons Validator can easily integrate with frameworks like Struts for form validation.
To use Apache Commons Validator, developers can include the dependency in their pom.xml file.
A code example demonstrating the use of multiple validators to validate different types of input data is provided.
This library helps developers save time while ensuring data accuracy and reliability.
Apache Commons Validator is a valuable tool for Java developers who manage user inputs and want a standardized validation mechanism in their applications.

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Nordicapis

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What is Federated API Management?

Federated API management has emerged to unify multiple gateways used by organizations and make APIs more centralized, visible, and governed while also providing flexibility to individual teams.
Organizations have taken a lot of different approaches to address the problem of API platform management. These approaches range from centralized control to decentralized user flow.
Federated API management is a semi-decentralized approach in which APIs are managed by teams and departments within an organization. This approach takes the best of all these models and attempts to present a paradigm that reaches teams and individual needs.
The federated API management approach results in largely autonomous teams that are nonetheless aligned at the central level. Governance is based on guidelines and policies collectively formed by the teams and departments.
Federated API management has some key attributes that set it apart from other solutions. These attributes include decentralized autonomy, global governance, and highly collaborative development process.
Federated API management does have specific drawbacks that need to be managed to make for an effective solution. These include inconsistency and complexity and high coordination needs.
The implementation of federated API management can be broken down into a few common steps. The establishment of a centralized API gateway, API governance strategy, and distributed access control. Decentralization, providing controls and visibility, and knowledge sharing.
Federated API management allows for more empowered teams while also implementing central governance that is more effective at scale.
Federated API management is a powerful solution that can work in many contexts and business environments.
Federated API management can be more complex than other solutions and necessitates risk management and problem-solving skills.

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PlanetPython

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Python Bytes: #415 Just put the fries in the bag bro

dbos-transact-py is a Python library providing ultra-lightweight durable execution.
Typed Python in 2024: Well adopted, yet usability challenges persist.
RightTyper is a fast and efficient type assistant for Python, including tensor shape inference.
Lazy self-installing Python scripts with uv.

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PlanetPython

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Zato Blog: Using OAuth in API Integrations

OAuth can be a good choice for that scenario and this article shows how it can be achieved in Python, with backend
An OAuth server issues time-based access tokens, which are simple strings, like web browser session cookies, confirming that such and such
If a client system invokes the interoperability layer, the layer will obtain a token from the OAuth server and keep it in an internal cache.
In OAuth terminology, what is described above has specific names, the overall flow of messages between Zato and the OAuth server is
To invoke REST services, fill out a form as below, pointing the 'Security' field to the newly created OAuth definition.
Here is sample code to invoke a backend REST system - note that we merely refer to a connection by its name, without having
Similarly to REST endpoints, to invoke HL7 FHIR servers, fill out a form as below and let the 'Security' field point to the OAuth
Here is sample code to invoke a FHIR server system - as with REST servers above, observe that we only refer to a connection by its name
All of these aspects can and will be independent in practice,
Yet, once more, regardless of what makes the input data available, the backend OAuth mechanism will work independently of it all.

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Dev

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How JavaScript works underneath the hood?

JavaScript engine like V8 in chrome reads JavaScript codes that we write and convert them into machine executable instructions for the browser.
JavaScript has an engine known as the JavaScript engine, that each browser implements.
The engine has two parts, namely a memory heap and a call stack.
Memory allocation happens in the memory heap, while parsing (reading) and execution takes place in the call stack.
JavaScript is a single-threaded language that can be non-blocking.
Synchronous programming means that each line of code executes in order.
Asynchronous programming enables you to run code without waiting for an earlier line to finish executing.
SetTimeout is part of Web API and not part of JavaScript.
Web API, Callback queue, and Event loop form part of the JavaScript Runtime Environment that enables us to do asynchronous programming.
The call stack recognizes there is a setTimeout function that has been set, and it is not part of JavaScript but part of web API.

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Medium

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Python and Probability Mathematics

Probability is a foundational aspect of mathematics that helps analyze uncertainties.
Python makes exploring probability concepts straightforward with its versatile tools and libraries.
Some real-world applications of probability in Python include predicting customer behavior, quality assurance, machine learning, genetics, network reliability, scheduling tasks, lottery odds, financial modeling, and predicting customer purchases or election results.
Python's probability capabilities are valuable in various fields and offer versatile applications for analyzing uncertainties.

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Medium

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Can I learn AI without coding?

You can learn AI concepts and theory without coding through courses, books, and videos.
No-code AI tools allow building AI models without coding using drag-and-drop interfaces.
Many AI-powered everyday tools are designed for users with no coding experience.
Courses and learning platforms like Coursera, edX, and Udemy offer AI courses that require little or no coding.

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Medium

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Programming course after 12th in rohini delhi by jeetech academy

Jeetech Academy in Rohini, Delhi offers affordable professional training courses in Python, Data Science, Ethical Hacking, Web Designing, and Digital Marketing.
Their courses are of short duration, ranging from 4-8 months, but provide long-lasting benefits.
Jeetech Academy has experienced instructors who provide practical hands-on training and emphasize real-time projects, preparing students for the job market.
The academy also offers placement assistance and is equipped with modern classrooms.

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Medium

280

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Basic Chrome Extension Tutorial

Chrome extensions are tools that enhance the functionality of the Chrome browser.
Manifest.json file is at the heart of every Chrome extension.
Creating a basic extension involves creating necessary files like popup.html, popup.js, and background.js.
You can test and debug your extension using various methods.

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Javacodegeeks

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Newtonsoft.Json vs. System.Text.Json: A Senior Developer’s Perspective

Newtonsoft.Json and System.Text.Json are the primary JSON libraries in the .NET ecosystem.
System.Text.Json outperforms Newtonsoft.Json in terms of speed and memory usage when handling large datasets.
Newtonsoft.Json has a more extensive feature set and is suitable for complex JSON processing, while System.Text.Json focuses on performance and security.
Choosing between the two libraries depends on project requirements, performance needs, and ease of use.

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Dev

312

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Code as Doc: Automate by Vercel AI SDK and ZenStack for Free

Documentation is a hated task among developers, but being out of sync with code will lose its purpose. A solution for this issue is to let machines handle it, freeing up developers' time for more critical tasks. With the advent of GitHub's free Copilot feature, one could generate some automated documentation, but the result may not be what you want, as it cannot handle more complex imperative code well. ZenStack's plugin system, built on top of Prisma, solves this issue by enhancing the schema access policies and validation rules and can be considered the single source of truth for the back-end application of your project. ZenStack also automatically generates APIs and corresponding front-end hooks for you.
Focusing on the documentation generation problem, ZenStack has leveraged AI with the help of Vercel SDK, which provides a standardized approach to interact with various Language Model Modelling (LLM) providers, allowing you to write code that works with multiple AI models, such as OpenAI or Anthropics Claude. The Zen-Stack-markdown package offers a plugin-based architecture for generating a markdown for a ZModel schema, implementing features around it as plugins, allowing you to create technical design documents directly from the ZModel schema file. Zen-Stack-mark-down uses a unified API allowing you to specify any LLM model you wish to use and generates ERD diagrams for each model. This allows you to create type-safe documentation for cases where copilot documentation falls short. This means developers can save time while avoiding the cumbersome task of maintaining documentation.

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Medium

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The Dawn of AGI? OpenAI’s New o3 Model Challenges Human Intelligence

OpenAI's new o3 model has surpassed human performance on the ARC Benchmark, a test for core reasoning skills.
o3 scored 76% on low-compute settings, and 88% on high-compute settings, outperforming humans on reasoning-based tasks.
The cost of using the o3 model in high-tuning mode reaches up to $1,000 per task, but advancements suggest AI democratization in the future.
While some see it as a milestone towards AGI, critics argue that true AGI requires models to effortlessly solve novel challenges.

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