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FastAPI Unleashed: Building Modern and High-Performance APIs

FastAPI is a Python web framework known for its high performance and ease of use in building APIs quickly and efficiently.
It utilizes Python's async and await keywords for non-blocking I/O, combining Starlette for HTTP handling and Pydantic for data validation.
Key highlights include high performance, strong tie to type hints, and automatic generation of API docs using Swagger UI and ReDoc.
FastAPI allows for simple implementation with compact code, making it easy to create basic APIs like a hello-world example.
The framework supports GET and POST endpoints for creating APIs, providing type validation using Pydantic, and automatic documentation generation.
Dependency injection in FastAPI aids in reusability, maintainability, and clean code by centralizing common functionalities across multiple endpoints.
Background tasks in FastAPI enable handling tasks like notifications or logging asynchronously, improving user experience by ensuring immediate responses.
FastAPI enhances developer productivity through intuitive design, performance, scalability, automatic documentation generation, data validation, and easy integrations.
Its modern Python features and user-friendly documentation set it apart, making it suitable for various applications from microservices to data science projects.
Installation of FastAPI via pip and uvicorn enables users to experience the benefits firsthand by testing the APIs through an interactive Swagger UI.

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Dev

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📝Today Blog: Creating a Product Card Using HTML and CSS Properties

Product cards are an essential UI component in modern web design, providing a concise and interactive way to display product details.
This article demonstrates creating a responsive and visually appealing product card using HTML and CSS, leveraging flex/grid layouts, transitions, hover effects, and relative units like rem.
Key features include Flexbox layout for 1D layout, Grid layout for 2D layout, transitions in CSS for smooth property changes, hover effects for interactive visuals, and pseudo-classes for element styling based on state or position.
The use of rem units in CSS allows for consistent sizing, with 1rem equaling 16px by default in most browsers.

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Medium

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Golang Use Maps Like Pro: The proper way to use maps in Golang

Developers often overlook the details behind the 'magical' behavior of maps in Go projects.
Maps in Go are more than just key-value collections and their proper initialization, concurrency safety, and choice of implementations are crucial.
Common mistakes like forgetting to initialize a map can lead to program panics and fatal errors in high-concurrency scenarios.
This article offers a comprehensive guide on using maps in Go efficiently and avoiding hidden pitfalls.

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Medium

135

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Understanding the Bias-Variance Tradeoff Like a Pro

Bias is the error from incorrect assumptions in the learning algorithm.
High bias means the model is too simple, while low bias means the model captures the data patterns accurately.
The bias-variance tradeoff aims to minimize total error by balancing low bias and low variance.
Understanding this tradeoff helps in debugging models faster and making better decisions as an AI engineer.

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Dev

135

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From Junior to Senior Dev: The Non-Technical Skills That Matter

Developers aiming to advance from junior to senior level in 2025 require a refined set of non-technical skills alongside technical expertise.
Effective communication, collaboration, problem-solving, adaptability, leadership, time management, empathy, and emotional intelligence are key non-technical skills for senior developers.
Businesses benefit from developers who excel in non-technical skills by achieving faster project turnaround, improved team morale, reduced miscommunication, and better alignment with business goals.
Senior developers are expected to bridge the gap between technical solutions and business objectives, playing roles like stakeholder communication and mentoring junior staff.
Strong collaborator signs include being open to feedback, mentoring junior developers, and working well across different teams such as product managers, designers, and QA teams.
Senior developers must exhibit traits like asking 'why' before coding, thinking long-term, staying updated with trends, and balancing business needs with technical feasibility.
Leadership, ownership, time management, prioritization, and empathy are essential qualities that senior developers possess to drive success in projects and team dynamics.
By fostering non-technical skill development within development teams, businesses can enhance collaboration, improve user experience, and achieve better project outcomes.
Managed IT services play a crucial role in supporting the growth of non-technical skills by focusing on developer training, agile workflows, cloud migration, and security-first development practices.
Partnering with managed IT providers can help businesses access a more mature, results-driven tech workforce without the need to build and manage an internal team from scratch.

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Johndcook

288

Multiplying a matrix by its transpose

Partitioning a matrix into blocks can help in multiplying it by its transpose efficiently.
By exploiting symmetry, the calculation time for M multiplied by its transpose can be reduced by up to 2/3.
Researchers have devised the RXTX algorithm that can compute M multiplied by its transpose with a 5% time-saving compared to multiplying arbitrary matrices.
The algorithm was developed by combining Machine Learning-based search methods with Combinatorial Optimization.

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Medium

270

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The Bubble Continuum: A Unified Model of Energy via Void Collapse with NumPy Demonstration

The Bubble Continuum introduces a theoretical model reinterpreting energy dynamics through void collapse events, offering insights into various disciplines like soft matter physics and clean energy theory.
The model proposes that energy is released through the resolution of voids under pressure differentials, challenging traditional views of energy derived solely from matter transformation.
The Bubble Continuum bridges diverse domains including soft matter physics, fluid dynamics, acoustics, and materials science, showcasing various applications from material engineering to clean energy solutions.
It presents an energy continuum framework with stages like weak collapse from soap bubbles, cavitational collapse like in pistol shrimps, and resonant collapse through harmonized standing waves.
Innovations include energy harvesting from void collapses, material engineering applications, and a fusion-like reactor model based on collapse-resonance rings.
Proof-of-concept systems in nature like the pistol shrimp and sonoluminescence chambers demonstrate the practicality of void collapse energy phenomena.
The model philosophically reframes entropy as a mechanism of creative tension resolved through structured collapse, where even the void contributes to energy emergence.
Future work involves experimental design, simulations, and applications testing to further explore the Bubble Continuum model.
A Python code snippet using NumPy and Matplotlib is provided to simulate the Bubble Continuum Energy Model, showcasing how the theoretical concepts can be implemented.
The Bubble Buddy Continuum offers a unified field theory of void collapse energy, presenting new insights into physics, energy, and material design, highlighting the role of voids in energy generation.
The model emphasizes the poetic notion that energy can be born from voids, suggesting a new perspective on the contributions of emptiness to energy dynamics.

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Idownloadblog

252

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Apple announces WWDC25 keynote will start on June 9 at 10am

Apple has announced the WWDC25 schedule with a keynote to preview iOS 19 on June 9 at 10am PDT / 1pm EDT.
There will be two keynotes - the main event and the Platforms State of the Union, providing technical insights, both available for live streaming and on-demand playback.
The event will largely be online-only, with limited in-person attendance for over 1,000 developers at Apple Park, offering networking opportunities, technical sessions, and developer support.
The first developer-only betas of iOS 19, iPadOS 19, macOS 16, and other updates will be released after the keynote, with public beta versions expected a few weeks later and final releases coming in the fall, featuring user interface revamps.

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Javacodegeeks

144

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Terraform 1.8 Module Composition: Advanced Techniques for Multi-Cloud Infra

Terraform 1.8 introduces advanced techniques for multi-cloud infrastructure management.
Enhancements include module composition with for_each and dynamic blocks for reusability.
Workspace usage allows per-environment customization and separation.
Best practices emphasize scalability, validation, abstraction, and modular design.

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Logrocket

401

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Why URL state matters: A guide to useSearchParams in React

URL state management involves storing application state in the URL query parameters with useSearchParams in React, ensuring synchronization between the app state and the address bar.
Storing state in the URL provides persistence to filters, enables sharing views, and enhances user experience, contrasting with the limited memory-based component state.
React Router and Next.js offer ways to work with URL query parameters, simplifying the implementation of URL-based state management.
The limitations of using useState to manage filter state include data loss on refresh, back button usage, and sharing views, as the state is confined to the component.
useSearchParams in React Router helps in reading and updating URL query parameters, offering a more resilient and user-friendly app state management.
Retrieving filter values from the URL in React involves extracting parameters using the searchParams object, ensuring proper type conversion for consistent behavior.
By updating query parameters with setSearchParams, the URL stays updated, triggering navigation automatically in response to user input.
To avoid cluttering the browser history, setSearchParams can update URL search params without adding to the history by using { replace: true } as the argument.
Centralizing the update logic for multiple URL search parameters in a helper function enhances code organization and reduces redundancy in event handlers.
useSearchParams provides a declarative way to manage query parameters, offering a smoother experience than manual parsing of window.location.search and full page reloads.

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Logrocket

320

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How design specialties can work against your career

Designers specializing in niche areas may find themselves pigeonholed and limited in their career growth, especially during tough job markets.
While specialization can offer job security and credibility, it can also hinder one's ability to pivot or explore new opportunities.
During economic downturns, specialized roles may be deemed less essential, leading to potential job insecurity for those deeply specialized.
Specializing too much can limit job opportunities as companies often hire based on direct experience rather than potential.
To break out of the specialty trap, designers should seek to diversify their skill set and portfolio to remain relevant and adaptable.
Expanding horizontally by strengthening weaker areas and gaining experience in unfamiliar contexts can help designers grow beyond their specialties.
Strategically expanding beyond one's specialty involves seeking new challenges, internally or externally, to future-proof one's career.
Building breadth outside of work through side projects and freelance gigs can enhance a designer's portfolio and showcase a diverse skill set.
While specializing is not inherently negative, designers should avoid letting their specialization define their entire identity to remain flexible in their careers.
Being a great designer involves problem-solving and creating meaningful experiences, necessitating a balance between specializing and maintaining a broader skillset.

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The Pragmatic Engineer

114

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The AI Engineering Stack

AI Engineering is a rapidly growing field that has emerged in the last few years, with AI engineers in high demand at companies like Meta, Google, and Amazon.
AI engineers often have a background in software engineering and have mastered working with large language models.
The book 'AI Engineering' by Chip Huyen provides insights into the AI engineering stack and various aspects of AI and ML engineering.
AI engineering involves three main layers: application development, model development, and infrastructure.
Application development focuses on evaluation, prompt engineering, and AI interfaces in the context of AI engineering.
AI engineering differs from traditional ML engineering in terms of model adaptation, model size and complexity, and evaluation challenges.
Model development encompasses tasks like modeling and training, dataset engineering, and inference optimization in the AI stack.
Inference optimization becomes crucial due to the compute-intensive nature of AI models, with a focus on making models faster and cheaper.
AI engineering emphasizes applications and interfaces, bringing AI engineers closer to full-stack development and requiring new skills for building AI applications.
The AI engineering landscape is evolving rapidly, with the community's collective energy and talent driving innovation in building applications on foundation models.

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Dev

329

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Integrate GitHub Login with OAuth Device Flow in Your JS CLI

This article provides a detailed guide on integrating GitHub OAuth authentication in a JavaScript CLI, focusing on the Device Login Flow for secure authentication.
Key libraries used include @octokit/oauth-methods for GitHub OAuth, @octokit/rest for GitHub API, commander for arg parsing, open for URL opening, and chalk for terminal colors.
The structure of the demo project includes files for OAuth, authentication object, unauthentication, token helpers, configuration, and index.
The OAuth process involves generating device codes, user codes, and verifying the user's authorization status via polling and error handling.
The Device Login Flow is highlighted for its security benefits, such as no exposure of client secrets, user interaction in a secure browser environment, reduced attack surface, and mitigation of credential stuffing/phishing.
The article explains the rationale behind the opinionated pattern of error handling and functional design, emphasizing better control flow, error management, and code modularity.
Utils for storing tokens securely in a JSON file using base64 encoding are provided, with functions to get, save, and clear tokens.
The CLI entry point handles the login command for initiating and verifying the authentication process with GitHub, ensuring a robust and user-friendly experience.
The article concludes with a reminder to prioritize security, implement encryption for token storage, and encourages adaptation of the implementation to suit individual project needs.

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PlanetPython

207

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Ari Lamstein: Course Review: Build AI Agents with Python

The author waited to explore LLMs due to focusing on developing software engineering expertise in Python first.
After completing a project, the author reviewed Kevin Markham's course 'Build AI Agents with Python', a follow-up to his LLM course.
Foundational models like GPT-4o mini have limitations, including restricted knowledge up to a specific date and no access to the internet.
'Build AI Agents with Python' focuses on augmenting foundational models with tools like Tavily for web search to provide better answers.
The course also covers integrating custom data sources using Retrieval Augmented Generation (RAG) and building a Q&A system for SQL databases.
Although the course lacks exercises, the author appreciates Kevin's clear explanations and wishes exercises were included for better learning.
After the course, the author plans to apply the learnings by adding an LLM feature to their Covid Demographics Explorer project.
Integrating a chatbot using natural language to interact with the dataset for answering user queries is among the author's next steps.

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Dev

315

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IoT monitoring with Kafka and Tinybird

Combining Apache Kafka-compatible streaming service with Tinybird can create real-time data APIs for IoT devices.
Kafka excels at high-throughput event streaming, while Tinybird transforms data into real-time APIs with sub-second response times.
Utility companies utilize smart meters for real-time readings, and the Kafka + Tinybird stack provides real-time insights and APIs for customer-facing features.
Setting up Kafka connection to Tinybird involves creating connections and data sources, simplifying the data ingestion process.
Tinybird Local allows testing analytics backend locally before deploying to a cloud production environment.
Creating API endpoints with Tinybird involves generating resources like endpoint configurations that accept parameters and return values.
Deployment to cloud production environment involves setting up secrets, proper testing, and monitoring of sensors.
Automated testing with Tinybird ensures project stability and avoids potential future issues.
The architecture simplifies IoT data processing by using Kafka for streaming and Tinybird for creating real-time APIs.
The system allows for scalability, version control, and easy maintenance of data processing pipelines.

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