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🔥 3 Common Problems When Building a PDF Viewer in Vue.js (And How to Actually Fix Them)

Building a PDF viewer in Vue.js presents challenges in smooth PDF rendering, default toolbar functionality, and print preview reliability.
Smooth PDF rendering with virtual scroll in Vue projects can be problematic due to resource-heavy rendering, complex state management, UI issues, and memory leaks.
Virtual scroll for PDFs requires intelligent page preloading and memory management to ensure fluid scrolling and efficient canvas handling.
Customizing the PDF viewer toolbar is crucial for a user-friendly experience, including navigation controls, zoom options, search, print support, and download functionality.
Vue PDF Viewer provides a toolkit for toolbar customization, offering control over default functions, icon replacement, and event handling without altering core code.
Print preview functionality in Vue projects can be unreliable, leading to mismatches between on-screen viewing and printed output.
Print preview issues include incomplete rendering, UI elements on printouts, scrolling glitches, and complications when printing from dialogs.
Vue PDF Viewer addresses print preview challenges by isolating rendering for printing, handling dialogs effectively, and providing a reliable fallback strategy.
Vue PDF Viewer prioritizes print preview as a key feature, ensuring accurate, complete, and consistent print results for PDFs.
In conclusion, Vue PDF Viewer offers solutions to common PDF viewer challenges, ensuring smooth rendering, customizable toolbars, and reliable print preview functionality.
Vue PDF Viewer is a viable option for Vue.js projects requiring a production-ready PDF viewer with advanced features and robust support.

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Medium

235

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First one!

A recent college graduate shares their experience navigating the complex world of tech as a beginner.
The individual is uncertain about the concept of a 'full stack' in tech and the constant influx of new frameworks and technologies.
The motivation behind starting a blog is to document their learning journey and share real experiences, failures, and successes.
Navigating the choice of a 'tech stack' in tech is compared to choosing a Hogwarts house with various options available.
There is a lack of consensus on what defines a good technology or framework within the tech community.
The writer reflects on their attempt to learn Go programming language and the challenges faced.
Docker, a popular tool in tech, is mentioned in the context of tech stacks and choices.
The realization that everyone in tech is essentially 'winging it' is highlighted, indicating that mastering the art of searching for answers and being comfortable with not knowing everything is a key skill.
The blog is not focused on tutorials or hacks but rather on sharing personal experiences, struggles, and small victories in the journey of learning tech.
The writer points out that not knowing everything in tech is okay, and it is essential not to panic when faced with challenges.

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Dev

362

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🚀 Built a Serverless Image Optimizer with AWS Lambda + S3 (Free Tier Safe)

The project involves building a serverless image optimizer using AWS Lambda and S3.
The process includes uploading an image to S3, triggering Lambda to compress it, and displaying the optimized version.
The project is designed to be beginner-friendly, fully serverless, and cost-effective within the AWS Free Tier.
Key components of the tech stack include AWS Lambda, Amazon S3, IAM Roles, Pillow library, and Shell Scripts.
The project structure comprises Lambda code, deployment scripts, sample images, dependencies, and README.
Uploading an image to S3 triggers Lambda to compress it and save the optimized version as optimized-filename.jpg.
The project aims to be Free Tier compatible, avoiding unexpected AWS charges by utilizing simple setup and teardown scripts.
The target audience includes Cloud beginners, indie developers, DevOps learners, and freelancers interested in automation and AWS services.
Key learnings involve securely connecting Lambda to S3, optimizing Lambda deployment, IAM roles usage, and staying within the Free Tier limits.
The creator welcomes feedback, collaboration, and discussions related to serverless ideas.

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Dev

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Will AI Take Your Software Job?

The article discusses the impact of AI on software jobs and provides insight on overcoming the fear associated with it.
The author mentions using LLMs for tasks like ideation and prototyping but emphasizes the importance of fundamental skills over 'vibe coding'.
The author shares personal experiences to encourage readers to focus on real-world problem-solving and honing intuition.
Key points include the necessity of mastering one's craft, building tools that don't decay, and going beyond the 'noise' on platforms like Twitter.
Advice is given on how to improve skills, communicate effectively, and share work publicly in the tech industry.
The article highlights the importance of genuine content creation over superficial social media trends.

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Javacodegeeks

317

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How to Convert a String to SOAPMessage in Java

SOAPMessage class in javax.xml.soap package provides an abstraction for processing SOAP messages in Java applications.
Maven dependencies: jakarta.xml.soap-api for SOAP API interfaces and saaj-impl for SOAPMessage implementation.
Java program converts a raw SOAP XML string to a SOAPMessage object using MessageFactory and InputStream.
Conversion includes wrapping the XML string in an InputStream for MessageFactory.createMessage() method.
The process ensures proper character encoding with StandardCharsets.UTF_8.
Output after conversion is a well-formed SOAP envelope.
MessageFactory is crucial for creating SOAPMessage instances from different input sources.
The article explains the conversion process using Jakarta XML SOAP API and SAAJ implementation.
Explanation of how MessageFactory helps parse raw SOAP XML strings into SOAPMessage objects.
Overall, the focus is on converting a string into a structured SOAPMessage for further processing.

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Medium

3.7k

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The Personality Types That Always Get Promoted in Tech (And It’s Not About Code)

The traditional belief that the best programmers always get promoted in the tech industry is being challenged.
Informal interviews with 50+ tech professionals revealed a consistent pattern that defies the meritocratic notion.
Success in tech career progression is not solely dependent on coding skills or problem-solving abilities.
The article questions why individuals who excel technically may not always be the ones advancing to higher positions.

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25 Likes

Medium

1.8k

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I Explored the Vue.js Roadmap on onepin.io — Here’s What You Need to Know

Vue.js Roadmap on onepin.io is an interactive, visual learning path for learning Vue from basics to advanced concepts and best practices.
The roadmap is structured as clear, progressive nodes such as milestones, concepts, or recommended tools instead of text dumps or video playlists.
It is divided into phases that build on each other, providing a comprehensive guide for beginners and those looking to enhance their Vue.js skills.
For more information, you can visit the Vue.js Roadmap on onepin.io at: https://www.onepin.io/progress/Complete-Vue.js-Roadmap:-Beginner-to-Advanced-Guide-for-Building-Modern-Web-Applications-68383d77e95c725c951f8ac5

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Dev

117

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Create a Database Schema and REST APIs with a Single Prompt Using GitHub Copilot in VS Code

The article explores the trend of using AI agents and prompt-based tools in software development, emphasizing the importance of staying ahead in this Evolution.
It highlights the necessity of databases in every application and the common challenges faced in setting up, managing schema changes, and coordinating in team projects.
With the advent of AI code generation tools like GitHub Copilot, automating the process of designing a database schema, running a database, and managing data is simplified.
The article describes a step-by-step process of utilizing GitHub Copilot with GibsonAI to create a fully designed database schema and live CRUD APIs seamlessly.
Users need VS Code with GitHub Copilot enabled, UV installed, and a GibsonAI account to leverage the tool for automating the database setup process.
The steps involve setting up GibsonAI CLI, enabling the MCP server in VS Code, describing the app schema in a prompt, deploying the schema, and enabling CRUD APIs.
By following the guide, developers can create a complete relational schema with foreign key constraints, ERD, and CRUD APIs without directly writing SQL queries.
The process saves time by automating repetitive tasks, allows for easy deployment of the database, and enhances team coordination in schema management.
Combining GitHub Copilot and GibsonAI offers a seamless experience for building full-featured apps from a prompt, representing a glimpse into the future of development.
The article encourages developers to embrace AI tools for handling tedious tasks, enabling them to focus on innovation and writing smarter prompts instead of more code.
Developers are urged to explore the capabilities of AI-powered tools to streamline their workflow and witness the benefits of using prompt-driven development.

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Analyticsindiamag

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A Vibe-Coded App Made $3 Million in 48 Hours, Says Lovable CEO

An application developed using Lovable, a platform for creating AI-driven apps, generated $3 million within 48 hours, as per CEO Anton Osika's LinkedIn post.
Qconcursos, a major education tech company in Brazil, utilized Lovable to build a premium educational platform in two weeks, attracting 500,000 paying users.
With Lovable, Qconcursos launched the new platform in a month with only two developers, rather than a full team of 30, and introduced a product with a database hosting 4 million questions and answers.
Lovable, set to raise $100 million at a $1.5 billion valuation, has achieved over $50 million in annual recurring revenue, serving 130,000 paying customers with subscription fees ranging from $25 for individuals to higher prices for enterprises.

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3 Likes

Medium

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BingX Launches EURR Wealth Product: Stable Yield in an Unstable World.

The new EURR Wealth Product by BingX is gaining attention as it offers exposure to crypto returns without relying on market timing or volatile tokens.
The EURR Wealth Product is a staking product that allows users to earn returns on EURR, a Euro-backed stablecoin that maintains a 1:1 peg with the Euro, combining stability with compatibility in the DeFi ecosystem.
EURR stands out for being Euro-backed, appealing to those in Europe or diversifying stable holdings beyond USD, offering yields of up to 20% APR which surpass traditional savings accounts and most DeFi staking returns.
The BingX EURR Wealth Product represents a maturation in DeFi and crypto wealth products, catering to users seeking long-term strategies with financial growth while maintaining stability, indicating a trend towards safer and more tailored financial options in the crypto space.

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4 Likes

Dev

283

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LDR Sensor Guide for Beginners: Meaning, Types, and Applications

LDR sensor, or Light Dependent Resistor, changes its electrical resistance based on light intensity, with resistance dropping in light and increasing in darkness.
The working principle of an LDR sensor is based on photoconductivity, where light photons hitting the material make it more conductive, leading to a decrease in resistance.
LDR sensors respond to different light intensities by varying resistance, with resistance reaching megaohms in darkness and dropping to a few hundred ohms in bright light.
Advantages of LDR sensors include cost-effectiveness, ease of use, and versatility in light detection and brightness control, while disadvantages include slower response compared to other sensors and temperature sensitivity.

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17 Likes

Dev

220

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Why I Replaced Traditional Frontends with MCP Servers : 20x Faster Development

Frontend development fatigue led a developer to switch from traditional frontends to MCP servers for faster development.
Model Context Protocol (MCP) servers act as bridges for AI models to connect with external sources, enabling dynamic applications.
Using MCP servers reduced development time significantly, resulting in cleaner code, fewer bugs, and more context-aware applications.
Embracing AI-driven interactions through MCP servers transformed the developer's approach to building software, leading to more powerful and scalable solutions.

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Pymnts

353

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Visa: Issuer Customer Lifetime Value Hinges on Personalization and Real-Time Experiences

The PYMNTS Intelligence and Visa DPS report focused on what separates the best card issuers in driving customer lifetime value.
Personalization, real-time experiences, and improving fraud performance are key components for issuers to enhance customer relationships.
Data and artificial intelligence play crucial roles in targeting customer interactions and boosting customer lifetime value.
Visa's innovations, like the Flexible Credential, aim to improve customer relationships and offer seamless payment experiences.

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PlanetPython

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Python GUIs: 6th Edition - Create GUI Applications with Python & Qt, Released �� PyQt6 & PySide6 Books updated for 2025 with model view controller architecture, new Python/Qt features and more examples

The 6th edition of the book 'Create GUI Applications with Python & Qt' for PyQt6 & PySide6 has been released.
Updates include bringing the book in line with the latest changes in PyQt6 & PySide6, utilizing new features in Python, and extending chapters with more examples.
The book now emphasizes Model View Controller (MVC) architecture for applications.
The latest editions for PyQt6 and PySide6 are available for purchase.
Existing book owners can receive these updates for free by entering their email on the account downloads page.
Owners who bought the book elsewhere can also register for updates by emailing their receipt to [email protected].
Readers are encouraged to enjoy the updated content.

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3 Likes

PlanetPython

178

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Talk Python to Me: #509: GPU Programming in Pure Python

NVIDIA has developed Python SDKs to leverage modern GPUs for data science and ML with nearly native performance.
Bryce Adelstein Lelbach discusses programming GPUs in pure Python on Talk Python episode #509.
Sponsors of the episode include Posit, Agntcy, and Talk Python Courses.
Links mentioned in the show: Bryce Adelstein Lelbach on Twitter, NVIDIA CUDA Python API, Numba, Applied Data Science Podcast, NVIDIA Accelerated Computing Hub, CUDA Cooperative Groups, Numba CUDA User Guide, CuPy, RAPIDS User Guide, and more.
Resources such as Google Colab, Compiler Explorer, and NVIDIA's First Desktop AI PC were shared.
Viewers can find additional resources, deep-dive content, and episode transcripts on the Talk Python website.
Ways to stay in touch include subscribing to Talk Python on YouTube, following Talk Python and Michael Kennedy on Bluesky and Mastodon.

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