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Hackernoon
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How To Build a Multilingual Text-to-Audio Converter With Python
- In this article, we will build a simple text-to-audio converter app using Python, googletrans API and gTTS for text-to-speech conversion.
- The app will enable seamless conversation in the local language of a new country, making it an ideal tool for tourists.
- This project has three main components — Translation (googletrans), Text-to-speech (gTTS), and Audio playback (pygame).
- The translate_text() function uses the googletrans library for text translation, and takes in text and the target language code.
- text_to_audio() function helps convert the text to audio using gTTS and pygame.
- This application has many uses, such as helping people explore foreign countries, aiding in language learning, multi-tasking content consumption, and multinational communication.
- Pygame can play the audio files, and builds game-related Python applications and software.
- Googletrans is a Python binding for the Google Translate API and allows python scripts to integrate a text translation feature into custom apps.
- gTTS comes with a pre-defined set of language templates which can be used to convert text to speech easily.
- One can add features to the application like an interactive GUI, options for changing pronunciation and pace of the audio.
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Dev
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A Beginner’s Guide to DevOps: Where to Start and What to Learn
- DevOps is a set of practices that bridge the gap between development and operations teams, aiming to deliver software faster, more reliably, and with fewer bugs.
- To start your DevOps journey, you need to understand the basics of continuous integration, continuous delivery, infrastructure as code, monitoring and logging, as well as collaboration and culture.
- Learn version control systems like Git, get comfortable with the command line, and explore popular CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, CircleCI/Travis CI.
- Familiarize yourself with containerization using Docker and understand orchestration with Kubernetes. Embrace cloud platforms like AWS, Azure, or GCP, and learn infrastructure as code with tools like Terraform, Ansible, AWS CloudFormation.
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Dev
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Setup NextJs | EsLint + Prettier - Fast way 🚀
- To set up Next.js with ESLint and Prettier, follow these steps:
- 1. Create a Next.js application using the command 'npx create-next-app@latest'
- 2. Install 'eslint-config-prettier' package to avoid conflicts between ESLint and Prettier
- 3. Update the 'eslint.config.mjs' file to include 'prettier' in the 'extends' property
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Medium
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From ML Summer School to Amazon Applied Scientist Intern 6-Month : My Experience
- The journey began with the selection test for the Amazon Machine Learning Summer School 2024.
- The ML Summer School was an intensive program spread across four weekends, offering in-depth sessions led by Amazon's machine learning experts.
- After the summer school, the author expressed interest in internship opportunities at Amazon and went through resume shortlisting and online assessments.
- The author successfully cleared the interviews and was selected as an Applied Scientist Intern at Amazon.
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Dev
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The Perfect React-TypeScript Starter Template for your Vite projects
- This is a perfect starter template for Vite-React projects.
- It provides a standard folder structure and preconfigured tools like TailwindCSS, shadcn-ui, and TypeScript.
- It also includes Vite plugins, Husky hooks, Docker setup, and various automation tools like Commitlint, Lint-Staged, and Dependabot.
- The template offers custom import aliases and aims to provide a comprehensive solution for starting React projects with Vite.
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Dev
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Simplify Your Development with DevContainers in Docker and VS Code
- DevContainers, a feature of Docker and Visual Studio Code (VS Code), simplify and streamline the development process.
- DevContainers allow running development environments inside Docker containers for consistent setups across different operating systems.
- Key benefits include consistency, simplified onboarding, isolation, version control for environments, and portability.
- Setting up a DevContainer requires installing Docker, VS Code, and the Remote - Containers extension.
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Medium
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How I Solved the Mobile Log Analysis Challenge with a Browser Tool
- LogDog is a web-based tool designed to solve challenges in mobile log analysis.
- It processes everything locally in your browser, offering a more efficient workflow.
- The tool automatically organizes logs by timestamp and type, making it easier to follow event sequences across multiple files.
- Future updates of LogDog will focus on improving user experience and adding more features.
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Dev
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My favorite Angular Setup in 2025
- Angular's Signals represent a significant shift in its reactivity approach. Go all in with Signals to ensure your application is already aligned with Angular's future. Angular CLI is recommended for new project setups; Nx comes in handy when the application grows. Angular Material is a great UI component library, and Tailwind CSS is a perfect complement for fine-grained customizations. Use Jasmine/Karma for testing your Angular application, and Playwright for E2E testing. NgRx SignalStore is recommended for state management, and use inject over constructor.
- Use inline styles and templates instead of separate HTML and CSS files for small components, and overwrite the schematics property in the angular.json file. Zoneless mode is recommended as it triggers change detection directly. Use SSR, Hydration, and Incremental Hydration only if your application needs it.
- PNPM is faster and handles dependencies better, avoiding version 1 of Yarn. Use CoPilot and ChatGPT as AI tools to boost productivity, and IntelliJ as a preferable IDE. In 2025, Bun, Angular (TanStack) Query, Analog, and Cursor are tools that you should give a try.
- For testing, install @testing-library/angular, @testing-library/dom, and @testing-library/user-event. For code quality, install angular-eslint, eslint-plugin-unused-imports, husky, prettier, lint-staged, and Sheriff.
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Medium
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420
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Privacy Concerns in AI: What Are They, and How Can We Protect Ourselves?
- AI thrives on personal data, posing privacy risks if misused.
- Key concerns include data collection, surveillance, and data misuse.
- Real examples of privacy breaches and biases in AI have occurred.
- Efforts to address concerns include regulations, ethical AI development, and transparency.
- Individuals can protect privacy by limiting data sharing, using privacy tools, and advocating for ethical AI.
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Dev
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365
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10 Things I Wish I Knew Before Starting Web Development
- HTML and CSS may look simple at first glance, but mastering them takes time.
- Learning JavaScript is non-negotiable for modern web development.
- Frameworks and libraries aren't a substitute for understanding core web development principles.
- Version control with Git and GitHub is an invaluable skill for personal projects and collaboration.
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Dev
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40+ Must-See GitHub Repositories You Can't Afford to Miss!
- This article lists 44 must-see GitHub repositories across a range of categories including libraries, tools, templates, security briefs and more.
- Some of the repositories highlighted include YAML-Powered URL and Shell Command Shortener, open source Deno monorepo template, a React Server Components rendered in Service Workers, building AI Agents with Ruby, Clojure core.async.flow, GitHub Introduces Sub-Issues, and many more.
- Another repository mentioned is a port of Doom (1993) that runs inside a PDF file, and a Visual Studio Code Extension to Set Executable Bits.
- The article also includes a free guide on earning $100 quickly by creating and selling Notion templates step-by-step. It provides tips on researching trends and needs, using tools like ChatGPT to design and improve templates, and selling on platforms like Gumroad or Etsy.
- The guide includes helpful tools like ChatGPT Prompts PDF to spark ideas and create templates faster, checklist PDF to stay on track, clear steps to follow, and tips to make templates user-friendly with simple tips for better design.
- This article is a great resource for developers looking for new tools and libraries to enhance their workflow, as well as for those seeking to earn extra money online by creating and selling Notion templates.
- Overall, it provides a diverse range of repositories, making it an interesting read for developers, programmers, and tech enthusiasts alike.
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Dev
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402
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Microservices Part 01: Creating Service Registry Application
- To create a Microservices Application, a Service Registry is required.
- There are three steps to create a Service Registry.
- Step 1: Write the Service Registry microservice application using the spring-cloud-starter-netflix-eureka-server dependency.
- Step 2: Include the @EnableEurekaServer annotation to notify that this application will act as a Registry Server.
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Medium
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Real-Time Geospatial Intelligence: Leveraging Rust WebAssembly and Predictive AI for Browser-Based…
- This paper explores a hybrid approach to real-time geospatial intelligence by leveraging Rust WebAssembly for browser-based spatial computations and Python-based predictive AI models for advanced geospatial reasoning.
- Real-world hydrogeological data from Brazil was utilized to evaluate the system and demonstrate its capabilities.
- The proposed system allows real-time point-in-polygon (PIP) analysis and clustering in the browser while offloading computationally intensive predictive tasks (e.g., traffic forecasting, geospatial feature analysis) to a Python backend using GeoBERT.
- The system performs point-in-polygon (PIP) analysis, map-based clustering, and geospatial queries.
- The project ensures greater authenticity and applicability to real-world scenarios by leveraging actual geospatial datasets, such as well locations, aquifer geometries, and relevant contextual information.
- The code is designed with WASI (WebAssembly System Interface) compatibility, allowing seamless integration into WebAssembly runtimes for enhanced cross-platform support.
- This approach enables efficient processing of large-scale geospatial data while maintaining high accuracy and adaptability for real-world applications.
- This project exemplifies a cutting-edge integration of Rust, WebAssembly, and Python to solve real-world geospatial challenges with precision and efficiency.
- By combining the computational performance of Rust and WASM for Point-in-Polygon (PIP) analysis with the AI capabilities of GeoBERT for contextual classification, we have created a system that seamlessly processes geospatial data at scale while deriving actionable insights.
- This approach not only showcases the power of interdisciplinary collaboration but also sets a benchmark for developing intelligent geospatial systems in the future.
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Medium
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Ethereum’s price recovery may be slow despite optimistic ETH data
- There is moderate optimism in Ethereum derivatives data.
- Short-term investors remain uncertain about Ethereum's rebound.
- Experts predict a bullish future for Ethereum, but it may take time.
- Cryptocurrencies are volatile, and patience is required for Ethereum's recovery.
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Medium
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Curiosity Didn’t Kill the Cat, It Built a Bot: Customizing LLMs With Your Own Content
- To turn a fun, engaging ChatGPT interaction into a fully functional, customized AI feature requires a specific set of steps
- Python must be installed along with Homebrew, a tool for installing and maintaining different Python versions, and then use Python’s virtual environment feature to create an isolated test space exclusively for working with LLMs.
- Request an OpenAI key and save it somewhere securely to work with LLMs.
- Create an assistant and provide it with a set of files to reference by storing them in a vectorDB that is queried for relevant information.
- Python is used to handle the lookup and stream responses by using async functions, which is valuable when creating a web UI. The async functions enable seamless interaction through the web UI, ensuring that each request to the assistant builds upon the previous conversation.
- The real challenge is converting the example to use a streaming response from an OpenAI Assistant with a Thread instead of storing the prompt history and submitting it with each new prompt.
- Sandgarden is an industry-leading AI development platform that offers the flexibility and speed to grow your AI solution as you refine and develop it further.
- Sandgarden provides everything from data management to custom AI integrations, and can help you get started faster with building your own AI-powered tool.
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