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How I Turned $500 into $15 a Day with This App

The HAHM App offers a straightforward pathway to generating passive income.
By performing simple tasks, users can earn $15 every day.
The app is designed for those looking to make extra money without a significant time commitment.
The registration process is simple, and the app provides a realistic potential for a reliable income stream.

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Medium

310

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Spring Data JPA @OneToOne: Handling Delete Operations Efficiently

Spring Data JPA simplifies database interactions, but managing deletions, particularly in one-to-one relationships, demands a structured approach.
One-to-one relationships present unique challenges when deleting data. Cascading deletes and proper annotations are crucial for maintaining data integrity.
Handling DELETE requests in a Spring application involves using a REST controller and Spring Data JPA repository. Proper exception handling is important.
Testing deletion logic is essential to ensure data integrity and application stability.

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Dev

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Burnout, Side Projects & Slippers: Let's Talk About The Dev Struggle

Skyler, a full-time software engineer, shares his struggle of balancing work, personal life, and creative projects.
He discusses the challenges of burnout and the search for shortcuts like supplements, energy drinks, and nootropics.
Skyler emphasizes the importance of discussing the personal side of being a programmer and aims to start a series on dev.to.
He shares his own project, Hackrabbit, focused on helping developers stay energized, hydrated, and focused without crashing.

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Towards Data Science

113

Data Science: From School to Work, Part III

Error handling is a critical part of building robust applications, preventing crashes and inconsistent data.
Proper error handling in Python involves try-except blocks, raising exceptions, and using the finally statement for cleanup actions.
Specific exceptions like ZeroDivisionError, KeyError, IndexError, TypeError, and FileNotFoundError should be caught and handled.
Custom errors can also be defined and raised in Python code.
The finally block executes cleanup actions regardless of errors occurring or not.
Best practices for error handling include catching specific exceptions, providing explicit messages, avoiding silent failures, and using else and finally blocks.
Logs are essential for tracking events during program execution, debugging, and monitoring application health.
The loguru package in Python simplifies logging with different levels like DEBUG, INFO, ERROR, and CRITICAL, allowing for better message formatting.
New log levels can be defined, and configurations like sink, level, format, filter, colorize, and serialize can be customized in loguru.
Adding context data like user IDs to logs and using child loggers in loguru can help in troubleshooting complex applications.

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Dev

427

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Introduction to GitHub Actions

GitHub Actions allows you to automate tasks within your GitHub repository.
A workflow is defined in a .yml file and consists of a unique name, trigger event, job definition, and steps.
Trigger events include push, pull_request, and workflow_dispatch for manual triggering.
Jobs run in specified operating system environments and contain steps that define tasks to be executed.

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Python Blogs

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CoinGate: Best Bitcoin & Crypto Payment Gateway & Processor

CoinGate is a leading cryptocurrency payment gateway that allows businesses to accept payments in Bitcoin and more than 70 other digital currencies.
Key Features of CoinGate include wide cryptocurrency support, instant conversion to fiat, multiple integration options, API for developers, Lightning Network support, payment buttons, and a point of sale system.
CoinGate offers seamless integration, secure and compliant transactions, no chargebacks, and competitive fees, making it a superior choice among crypto payment gateways.
CoinGate is ideal for e-commerce shops, freelancers, retail stores, subscription-based platforms, gaming and digital services, and any business looking to accept crypto payments.

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Medium

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Ariana Grande "Brighter Days Ahead: Eternal Sunshine Deluxe" Album | Zip & Mp3? Download

Ariana Grande's new album 'Brighter Days Ahead: Eternal Sunshine Deluxe' is set to be released soon.
The album is accompanied by a short film featuring Grande revisiting the Brighter Days memory-wiping clinic.
In the film, Grande's character, Peaches, is shown waiting in a wheelchair as her name is called.
The teaser hints at Peaches returning to the clinic when she is older.

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Medium

328

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How to find your next AI startup idea when everything seems possible

The article discusses a mental model called the Critical Frequency Matrix to identify valuable AI startup opportunities within enterprises.
It categorizes enterprise tasks based on frequency and criticality to create a simplified fingerprint of the business.
Tasks that are low-frequency and high-criticality, like major corporate pivots or crisis management, are where human leadership shines over AI automation.
High-frequency, high-criticality tasks offer market opportunities but pose challenges for AI agents, requiring near-perfect reliability and accuracy.
Low-criticality, high-frequency tasks, such as routine customer support inquiries, are ideal for automation through AI systems.
Low-frequency, low-criticality tasks offer potential through generalized AI assistance but require exceptional adaptability and intelligence.
The market value of automating a task increases with frequency and criticality, with tasks being more valuable when they are both frequent and essential to the business.
The article suggests focusing on tasks that cause constant pain as they may hold higher business value than solving episodic pain.
The framework helps investors focus on enterprise value and identifies areas with potential for new AI-native ventures.
It provides a checklist for building an AI-native startup and emphasizes the importance of addressing interconnected tasks effectively.

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Medium

175

AI and the Future of Work: Embracing Change in the Age of Automation

AI is transforming job roles across multiple sectors, evolving job functions and creating new types of roles.
Emerging job roles in the age of AI include AI trainers, data scientists, machine learning engineers, and AI ethics consultants.
Ethical implications of AI in hiring include potential biases in recruitment algorithms and transparency in automated decisions.
Future skills required in a world with AI involve critical thinking, technical proficiency, emotional intelligence, adaptability, and lifelong learning.

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Dev

346

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First Alpha of Gland Framework Released

The first alpha version of the Gland framework has been released.
The framework has some challenges, including the dependency on HTTP in @gland/core and the lack of proper documentation and tests.
The developers are seeking feedback and contributions from the community to improve the framework.
The ultimate goal is to make Gland a scalable and flexible framework, compatible with various protocols.

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Medium

301

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Best AI Software to Help You Earn Up to $100 Daily: A Humanized Approach to Making Money with AI

ChatGPT can be used for writing blog posts, social media content, and more to earn money on platforms like Upwork and Fiverr.
Jasper AI is ideal for creating marketing copy and ads, offering opportunities to earn through copywriting services.
Teachable allows for the creation and selling of online courses with the help of AI tools, offering a passive income stream.
Platforms like Fiverr and Upwork provide opportunities to offer various services using AI tools for tasks like design, transcription, and coding.
Amazon Mechanical Turk offers microtask jobs where AI tools can assist in completing tasks efficiently to reach $100 a day.
AI-driven platforms like Trade Ideas and CryptoHopper can aid in stock trading, potentially earning over $100 a day with a solid strategy.
Survey sites powered by AI like Swagbucks and Prolific can help you earn money by completing tasks based on preferences and demographics.
AI has revolutionized earning opportunities, emphasizing the importance of consistency, creativity, and leveraging AI tools effectively.
Success in earning through AI requires a combination of effort, trial and error, and utilizing AI as a tool to enhance existing skills.
Strive for consistency and creativity while using AI tools to explore new income streams and boost productivity in the digital age.

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Medium

220

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Please Go. You Can Stay.

An employee shares their experience of being laid off in a confusing manner by their company.
The company wanted to keep two senior developers to transfer to another company, but offered uncertainty about their future job security.
The employee was offered a severance package and had mixed feelings about finding a new job.
The employee also had to train their replacement before receiving the severance payout.

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Medium

436

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Open Source Products — It’s Time

Applying open source methods can revolutionize various industries, not just software.
NodeCosmos offers a holistic view of product components and processes, organizing them into transparent chunks.
Using branches in NodeCosmos allows for collaborative contributions, ensuring continuous improvement.
Open models foster inclusivity, empowering unexpected sources of insights, and future-proof projects in a rapidly evolving world.

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Dev

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Understanding Azure Resource Groups: A Comprehensive Guide

Azure Resource Groups in Microsoft Azure serve as logical containers for organizing and managing related cloud resources within the Azure Resource Manager framework.
Resource groups play a crucial role in centralizing control over resources like virtual machines, storage, databases, and networking elements.
They enable simplified tasks such as deployment, access control, cost tracking, and lifecycle management by grouping resources together.
Resource groups debuted with Azure Resource Manager in 2014, providing a structured way to manage cloud assets through templates and declarative frameworks.
They offer logical resource association, hierarchical management scope, cross-region flexibility, metadata storage, and support for Infrastructure as Code (IaC).
Advantages of Azure Resource Groups include centralized management, granular cost visibility, RBAC enforcement, lifecycle-based governance, and operational flexibility.
Best practices for managing resource groups involve structured naming conventions, resource grouping alignment, metadata tags utilization, workload isolation, IaC implementation, RBAC enforcement, and regional compliance consideration.
Common use cases for Azure Resource Groups include application deployment, environment segregation, cost allocation, disaster recovery, and high availability strategies.
Resource groups function as a strategic framework for structuring and efficiently managing cloud resources, ensuring cost optimization, access control, and compliance.
Mastering Azure Resource Groups is essential for maximizing cloud efficiency, security, and scalability within the Azure ecosystem as cloud computing evolves.

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Dev

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Efficiently handle large datasets, huge files and data streams with PHP generators

Handling large files or data streams in PHP can be challenging without efficient methods like generators.
Comparing the memory-intensive array approach to the memory-efficient PHP Generators for processing large files.
Loading entire files into arrays can lead to high memory consumption and errors, especially for large files.
Generators in PHP allow processing one row at a time without storing the entire dataset in memory.
Generators yield values on-demand, making them ideal for handling huge files or infinite sequences.
Generators offer lower memory usage, improved performance, lazy evaluation, scalability, and work well with infinite sequences.
Best suited for handling large files, streaming data, processing huge datasets efficiently, and generating large sequences.
Generators are not suitable for random access, multiple data processing, sorting, filtering, or advanced operations on the entire dataset.
Generators are recommended for memory-efficient processing in PHP projects, providing benefits in efficiency, performance, and scalability.
Using generators can be a game-changer for handling large datasets and data streams effectively in PHP.

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