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Best FastPeopleSearch Alternatives and Similar Websites

FastPeopleSearch is a popular site for looking up information about people online, but there are other alternatives available.
Some downsides of FastPeopleSearch include being potentially out-of-date, having too many ads, and privacy concerns.
Alternative websites like TruePeopleSearch, Spokeo, Whitepages, BeenVerified, PeekYou, and Pipl offer different features for people searching.
Based on your needs, you can choose between these alternatives for quick lookups, social media information, or deep background checks.

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22 Likes

Hackernoon

109

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The 10 Weirdest, Most Brilliant Algorithms Ever Devised and What They Actually Do

The Marching Cubes algorithm, invented in 1987, helps in extracting a polygonal mesh from a 3D discrete scalar field, enabling the creation of 3D models from medical scans.
Wave Function Collapse algorithm, inspired by the double-slit experiment, is used to procedurally generate infinite maps for video games, providing randomness with a purpose.
The Diffusion Model, based on thermodynamics, is used in AI to refine noise into meaningful images like DALL·E and Stable Diffusion, revolutionizing image generation.
Simulated Annealing algorithm, inspired by metallurgy, optimizes solutions by balancing exploration and exploitation, a metaphor for learning to code.
Sleep Sort algorithm, which uses thread sleeping times for sorting, showcases a clever yet impractical sorting approach.
BOGO Sort humorously relies on random shuffling for sorting, with a fictional concept of Quantum BogoSort leveraging parallel universes for instant sorting.
BOID algorithm simulates bird flocking behaviors with three simple rules, demonstrating nature-inspired decentralized coordination through minimal code.
SHOR’s Algorithm, utilizing quantum mechanics concepts like qubits, superposition, and entanglement, aims to revolutionize integer factorization for cryptographic applications.
Marching Cubes algorithm transforms 3D scalar fields into visual surfaces, revolutionizing medical imaging by creating 3D models from CT or MRI scans.
Practical Byzantine Fault Tolerance algorithm ensures consensus in distributed systems, crucial for blockchain and cloud databases to maintain trustworthiness.
Boyer-Moore string search algorithm, used in tools like grep, efficiently searches patterns by scanning text from right to left using heuristics, showcasing the power of unconventional ideas in algorithms.

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6 Likes

Medium

240

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What Airline Pilots Know About Error Handling That Would Transform Your Code

A software architect with two decades of experience realized the fundamental difference in error handling between pilots and developers while sitting in a commercial airliner's cockpit.
Aviation principles have been applied to software development to transform error handling, resulting in more resilient systems, reduced outages, and faster development cycles.
Pilots operate from an entirely different paradigm when it comes to handling errors, leading to a revolution in how errors are managed in software.
The article shares two parallel scenarios to illustrate the contrasting approaches to error handling between pilots and developers.

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14 Likes

Dev

391

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🧱 I Built My Python Web App Like a City (Not an App)

The article discusses treating a Flask web app like a city, with modules represented as districts, endpoints as buildings, routes as roads, and middleware as traffic control.
Different aspects of a city, such as neighborhoods, roads, buildings, utilities, decay, and sprawl, are metaphorically linked to components of the web app.
The author outlined the approach taken in different phases: City Blueprint (zoning the app into districts), Traffic & Infrastructure (adding middlewares for traffic control), and Sanitation & Decay (cleaning up old or unused components).
This city-planning approach prompted considerations on scalability, user flow, resource usage, and legacy within the app structure.
The author suggests expanding the metaphor to include concepts like pollution tracking, public transport, crime prevention, disaster response, and using city-planning tools for app visualization.
The shift in mindset encourages developers to prioritize logical grouping over individual functions, enhance flow, build sustainable communities of logic, and ensure long-term livability in the codebase.
By adopting the city-building mindset, developers can improve code organization, prioritize usability, and plan for long-term maintenance and growth.
The article also offers free GitHub bundles containing various resources for developers to build faster and smarter, with options ranging from open-source projects to developer libraries and system projects.
The author concludes by encouraging readers to approach app development like city planning, considering aspects like city center, sprawl, traffic congestion, and safety to create more efficient and user-friendly applications.
Overall, the metaphor of building apps like cities promotes a more holistic and thoughtful approach to software development, emphasizing usability, scalability, and long-term sustainability.

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23 Likes

Dev

427

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🧑‍🏫 How to Teach GPT to Code Python your way

The article discusses how AI can be trained to assist developers in coding, likening the AI to an intern with potential but lacking judgment.
It emphasizes the importance of mentoring and guiding AI like an apprentice to improve its coding skills.
The concept of 'AI Pair Programming' is introduced as a way to work with AI in a structured manner to solve coding problems.
Guidelines are provided on setting up an AI coding flow, outlining problems, coding basic versions, and documenting the process.
The article suggests training AI to learn developer preferences and habits to produce cleaner code with fewer bugs.
Building feedback loops for auto-evaluation is recommended to help AI improve itself based on set standards and unit tests.
Resources like Typer Docs, Rich, Python Type Hints, and pytest are suggested to aid in smart prompting and debugging while training AI.
The article concludes by emphasizing that developers are not being replaced by AI but rather elevated through the mentorship and training of AI tools.
It encourages developers to start training AI using scripts, guiding them through each project and prompt, with a reminder to come back for support.
Additionally, ten recommended courses related to computing, tech history, and programming weirdness are highlighted for further learning.

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25 Likes

Dev

322

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Build Fast, Build Smart: How I Use APIs to Launch MVPs in Days — Not Weeks

"Speed doesn’t mean rushing — it means removing friction." In the startup world, speed is crucial, and building everything from scratch is unnecessary for MVPs.
Many MVPs fail by treating it as a final product, spending time on custom features instead of validating the idea. API-first MVP development is a smarter approach.
The recommended API-first MVP stack includes tools for payments, authentication, location services, analytics, and emails to accelerate development without compromising quality.
The importance of vetting APIs before integration, illustrated with a real example of a 3-day MVP launch using Stripe, Firebase Auth, SendGrid, and Google Analytics.

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19 Likes

Dev

391

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⚡ Real-Time Data Dashboards with Python: Build a Lightning-Fast Web App for Live Metrics

Businesses now require instant visibility into key metrics, achievable through real-time dashboards built with Python and modern web tools.
The guide demonstrates constructing a real-time web dashboard using FastAPI, WebSocket integration with Starlette, Redis for pub/sub, Chart.js + HTMX for front-end updates, PostgreSQL for historical storage, and Tailwind CSS for UI.
An example scenario involves monitoring smart sensors in warehouses for temperature/humidity with live charts, historical data, alerts, and responsive design.
The tech stack includes FastAPI for the backend, Tailwind + HTMX for the frontend, WebSockets + Redis for real-time updates, PostgreSQL for storage, and Redis for caching.
Project structure includes backend with FastAPI, models, WebSocket, and DB setup, frontend with templates and static files, and a script for simulating sensor data.
Additional features cover storing data in PostgreSQL, triggering alerts with thresholds, and deployment tips using Uvicorn, Gunicorn, NGINX, and platforms like Render or DigitalOcean.
The tutorial encompasses Async WebSockets, Redis Pub/Sub, FastAPI Routing + BackgroundTasks, HTMX + Chart.js, PostgreSQL integration, and real-world hardware modeling.
Real applications for such dashboards include factory sensors, crypto tickers, fleet management, fitness visualizers, and server monitoring tools.
Python's modern ecosystem enables developers to create and deploy real-time dashboards without the complexities of React or Firebase, offering vast business potential.
Done-for-you article kits are available for quick content creation, including topics like DIY computing, hacker techniques, bot invasions, data manipulation, and forgotten tech frontiers.
One can use these articles to boost authority, attract traffic, monetize, and customize with branding, affiliate links, and quick publishing for blogs, newsletters, social posts, and more.

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23 Likes

Dev

413

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From Tailwind CLI to Vite: A Developer’s Journey to Better Performance (2025 Edition)

A developer integrates Vite into an existing TailwindCSS CLI project for better performance and workflow efficiency.
Key steps include creating a backup branch, understanding Vite best practices, and updating folder structure for modularity using vite-plugin-ejs.
Vite's features like Hot Module Replacement, optimized production builds, and seamless integration with modern tools are highlighted.
A comparison between the developer's current setup and Vite showcases the speed, modularity, and ease of use Vite offers.
The developer creates a modular folder structure to organize the project code and enhances the workflow through Vite and Vite-plugin-ejs.
NPM scripts are updated to align with Vite's commands, and the TailwindCSS setup is adjusted to work seamlessly with the new modular structure.
The developer tests the development workflow, builds for production, inspects the output, and prepares for deployment.
Comments are added to key files for easier understanding, and the production setup is optimized for performance.
The final process of building for production ensures the site is ready for deployment, with optimized performance and minimal file sizes.
Integrating Vite has streamlined the workflow, enhanced development processes, and improved site performance, setting a solid foundation for future exploration.

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24 Likes

Dev

436

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🚀 DRF ViewSets & Routers Explained – Build REST APIs Faster with Django

DRF ViewSets & Routers explained to help build REST APIs faster with Django.
Discusses the benefits of using ViewSets in Django Rest Framework (DRF) and how Routers can automate URL patterns.
Explains the differences between ModelViewSet, ReadOnlyModelViewSet, and custom ViewSets with a hands-on coding demo included.
Target audience includes beginners, intermediate developers, and anyone working on API development in Django looking to follow best practices.

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26 Likes

Medium

318

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The latency oversight

A friend's company faced unexpected chaos in web development due to overlooking a seemingly innocent detail.
The chaos arose from not asking a simple question of whether the website will be used globally or just within one country.
This led to damage control, technical fixes, and a valuable lesson for the team.
The company, known for building fast, user-friendly web applications, was approached by a client to build a customer-facing platform with sensitive data, real-time updates, and personalized dashboards.

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19 Likes

PlanetPython

100

Luke Plant: Knowledge creates technical debt

Technical debt is a term used in software development to describe the consequence of gaining knowledge and discovering better ways to do things.
Technical debt can appear unexpectedly when new knowledge is gained, leading to a choice between living with the existing issues or investing resources to fix the code.
Viewing technical debt as a byproduct of knowledge acquisition presents it as an opportunity for improvement rather than just a liability.
Addressing technical debt is seen as an investment in leveraging newfound knowledge, which can ultimately lead to enhanced software quality and competitiveness.

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6 Likes

PlanetPython

281

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Talk Python to Me: #505: t-strings in Python (PEP 750)

Python has introduced a new string formatting feature called t-strings for advanced use-cases such as SQL, HTML, and DSLs.
t-strings are seen as the next evolution of Python string formatting after f-strings, aiming to address security concerns and runtime code manifestations.
PEP 750 introduces Template Strings and is designed to enable writing domain-specific languages.
Guests on the show include Paul Everitt, David Peck, and Jim Baker discussing the new t-strings feature in Python.

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16 Likes

Dev

Image Credit: Dev

The Role of Automation in Email Marketing Using Python

Email marketing remains a highly effective channel for businesses, but manual efforts are not feasible in today's digital world, leading to the rise of automation.
Python plays a crucial role in email marketing automation due to its flexibility, control, and integration capabilities with various systems.
Automation benefits include saving time, increasing engagement, improving accuracy, and enabling scalability for reaching a larger audience.
Using Python for email automation offers beginner-friendly features, rich libraries for handling emails, scheduling, data processing, and easy integration with external APIs and databases.

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3 Likes

Dev

218

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How to Fix 403 Forbidden Error in Shiprocket API Integration?

Encountering a 403 Forbidden error in Shiprocket API integration can be frustrating as it indicates the server refuses to authorize the request.
Possible reasons for this error include invalid token, insufficient permissions, endpoint errors, or surpassing request limits.
To fix this, authenticate using proper Java code with WebClient, ensure correct order creation request, and validate the order payload.
Common pitfalls to avoid include using the updated API URL, verifying content-type, checking permissions, and implementing error logging for better debugging.

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13 Likes

Medium

363

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Spot Overstretched Moves: Build a VWAP+ATR Price Stretch Detector in Pine Script

Combining VWAP and ATR helps in measuring price extremes more accurately.
ATR measures normal price volatility over a given period, setting a baseline for comparison.
User-controlled settings in the stretch detector determine its sensitivity and smoothness.
The stretch detector visually highlights price stretches beyond set thresholds for better decision-making.

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21 Likes

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