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Guide on Database in Android Studio

The given is an implementation of a restaurant app in Android Studio with a SQLite database.
The app allows the user to select categories and items, and displays the price of the selected item.
The total cost of the selected items is updated when the 'Add Item' button is clicked and displayed in the SummaryActivity.
The database contains tables for categories and items, with example data being prepopulated on app creation.

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Medium

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Introduction to Object-Oriented Programming (OOP)

OOP is a style of coding that groups related code into objects representing real-world things.
Classes define blueprints for objects, and objects are instances of classes.
Objects can store data using attributes.
Methods inside a class define the behavior of the object.

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Dev

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VibeScript - GenZ programming language

VibeScript is a new programming language that aims to shift away from traditional coding practices.
It focuses on using prompts and vibes to build modern software.
VibeScript allows users to write code in a simple and intuitive way using emojis as commands.
The language leverages OpenAI's GPT-4.1 model and the 'eval' function to instantly run the code generated by the language model.

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Understanding Protocol Data Units (PDUs): The Building Blocks of Network Communication

Protocol Data Units (PDUs) are the smallest units of data exchanged between entities in a network.
PDUs have a hierarchical structure in the OSI model, with different names at each layer such as segment, packet, frame, and bit.
The header of a PDU contains control information, while the payload carries the actual data being transmitted.
PDUs are vital for network communication as they enable encapsulation, modularity, and interoperability, and are essential for protocol parsing and analysis.

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Dev

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JavaScript Bytecode and Abstract Syntax Trees

JavaScript has evolved significantly, leading to the introduction of Bytecode and Abstract Syntax Trees (ASTs) for sophisticated execution.
JavaScript engines like SpiderMonkey, V8, and JavaScriptCore use ASTs and bytecode for interpreting and executing code.
Bytecode has become more important with JIT compilation strategies in JavaScript engine optimization.
ASTs represent code structure and are crucial for optimizations and tooling in JavaScript development.
Creating an AST involves libraries like Babel, aiding in code analysis and transformation.
AST traversal and transformation with tools like Babel allow for code optimizations beyond syntax changes.
Bytecode compilation in JavaScript engines involves parsing code, generating optimized bytecode, and dynamic execution.
Optimization strategies like inlining, dead code elimination, and type specialization improve bytecode performance.
Performance considerations include benchmarking, memory usage, and real-world use cases of AST transformations.
Understanding ASTs and bytecode is essential for advanced JavaScript development, aiding in tooling, optimization, and application efficiency.

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Javacodegeeks

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Comprehensive Analysis of Firebase Functions Cold Starts

Cold starts in Firebase Functions pose a significant challenge due to latency spikes during new runtime environment setup.
Factors leading to noticeable cold starts include function inactivity, traffic spikes, and deployments.
Measurement practices involving detailed log analysis and monitoring are essential to tackle cold start issues effectively.
Optimization strategies like maintaining warm instances, optimizing dependencies, and intelligent loading can reduce latency.
Memory allocation, connection pooling, and instance provisioning are advanced techniques to enhance cold start performance.
Strategic grouping of functions, regional deployment optimization, and continuous monitoring play key roles in cold start mitigation.
Implementing provisioned instances in Cloud Functions Gen2 and organizing functions strategically can lead to consistent performance.
Regional deployment optimization and comprehensive monitoring aid in reducing cold start duration and improving overall performance.
Establishing monitoring practices, configuring alerts, and conducting performance reviews are pivotal for efficient resource utilization.
By implementing a range of strategies, developers can enhance serverless infrastructure in Firebase Functions for better user experiences.

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The Importance of Python in the Innovative Technology Space

Python has become the foundation of AI and ML, enabling innovations in healthcare, finance, and robotics.
Python plays a significant role in data analysis and visualization, driving growth and technological breakthroughs.
Python is widely used for automation, streamlining operations and enhancing productivity.
Python powers web applications, software development, and emerging technologies like blockchain and IoT.

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Nordicapis

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5 Ways to Secure Agentic Access to APIs

As technology evolves to accommodate changing needs, AI agentic API consumption is on the rise, presenting security challenges for API providers.
AI agents, autonomous AI systems understanding and processing user requests, introduce nuances in securing access to APIs, requiring stronger security measures.
Concerns around securing agentic access include identity and access controls, threat mitigation, and data security compliance.
To secure agentic access, API providers can implement granular access controls, adaptive rate limiting, and behavior-based access control.
Rate limiting, throttling, and data security measures are crucial in handling the unpredictable nature of AI agentic traffic effectively.
Ensuring data security, compliance, and effective threat detection are essential for protecting data integrity and privacy in agentic API interactions.
Deployment of internal AI agents and effective monitoring systems can help detect and mitigate potential threats from agentic access.
Developing an internal agent to mediate agentic access can enhance security but may come at a higher cost, offering a more adversarial approach to data access.
As organizations navigate the shift to agentic API access, dynamic security measures based on workload and behavior are crucial for mitigating risks.
The rise of AI agentic access calls for continuous adaptation and new security paradigms to ensure safe and efficient API interactions in a machine-driven environment.
Addressing the challenges of agentic API access requires a combination of traditional security practices and innovative solutions tailored to the unique demands of AI-driven interactions.

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Dev

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RandomApply in PyTorch

RandomApply() can randomly apply zero or more transformations to an image with a given probability.
The transformations can be specified as a tuple, list, or torch.nn.Module.
The second argument, p, represents the probability of applying the transformation.
The OxfordIIITPet dataset and examples of using RandomApply with different transformations and probabilities.

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Dev

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RAG Isn't Dead: Why GPT-4.1's 1M Context Windows Won't Kill Retrieval-Augmented Generation

RAG (Retrieval-Augmented Generation) is not dead, despite the introduction of GPT-4.1 with 1M token context windows.
Massive context windows have their limitations in terms of cost, latency, and scale, making them challenging to use in real-world applications.
RAG provides benefits such as cost-effectiveness, traceability, and suitability for use cases with large amounts of data.
While context windows may continue to grow and new architectures may emerge, RAG remains vital for real-world use by companies.

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Dev

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🌚 Dark Mode Is Overrated (and I’ll Die On This Hill)

Dark Mode isn't the divine savior of your eyeballs like you think it is.
Light mode isn't that bad. Sometimes, it's cleaner. Brighter. Easier to read in daylight like… a normal human being.
Dark mode might not make you an elite hacker, especially if you're just writing React components for a marketing site.
While many dark themes are popular, they might not necessarily have the class, clarity, and professionalism of a light theme.

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Medium

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Build Your First GPT App in 10 Minutes

Generative AI, particularly GPT (Generative Pre-trained Transformer) technology, is one of the most transformative innovations today.
You can build your own custom GPT application, even without deep prior experience in data science or programming.
Generative AI refers to algorithms that can create new content, like text, images, or audio.
The article provides a step-by-step guide on how to build a GPT-powered app and explores advanced techniques, tools, and best practices.

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Dev

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Submission Deadline: April 21! Countdown to CommunityOverCode Asia 2025 CFP

The CommunityOverCode Asia 2025 conference, organized by the Apache Software Foundation, will be held in Beijing from July 25 to 27.
The conference aims to showcase the latest developments and emerging innovations of Apache projects and community-driven projects led by 'The Apache Way.'
The submission deadline for proposals is April 21, 2024, at 23:59 (Beijing Time - UTC+8).
The conference will cover a wide range of topics, including Cloud Native, DataOps, Streaming, Incubator, and more.

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Dev

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Community Report of March: Progress of DolphinScheduler

Apache DolphinScheduler is making progress with the project and community.
Many contributors made significant contributions to Apache DolphinScheduler.
Several bug fixes were implemented, addressing JDBC connection failure, UI errors, and task duplications, among others.
Improvements were made in the UI and data synchronization areas.

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Medium

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Using Python Namespaces to Keep Track of Code

A namespace in Python is a system that maps names to objects.
Multiple namespaces can exist at the same time and are typically organized by scope and execution context.
Namespaces provide name-to-object mapping, while scopes determine the visibility of names.
Python follows the LEGB rule, searching for names in local, enclosing, global, and built-in namespaces.

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