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Medium

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9 Prestigious Coding Certifications That Actually Damage Your Career

Certain certifications that are marketed as career accelerators can actually damage your prospects in subtle but significant ways.

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Medium

136

Earth5R: Pioneering a Global Movement for Sustainability and Climate Action

Earth5R is a transformative ecosystem uniting diverse communities, partners, and organizations to address issues like waste management and promote sustainable livelihoods.
With a vision to engage two billion people in the climate economy by 2030, Earth5R leverages technology and community efforts to drive large-scale sustainable growth.
The organization, led by founder Saurabh Gupta, aims to combat environmental degradation and inspire collective action through innovative solutions.
Central to Earth5R's success is SaaS-X, a real-time sustainability platform offering plug-and-play solutions for scalable environmental impact.
The Earth5R App empowers volunteers and communities by providing access to environmental projects, impact tracking, and engagement opportunities.
Earth5R's work spans India, focusing on initiatives like river cleaning, waste management, circular economy programs, and slum rehabilitation.
The organization's global impact includes millions of volunteering hours, citizen mobilization for climate action, and significant CO2 offsetting.
Through a global ecosystem of partners, Earth5R addresses interconnected challenges like climate change, waste, and poverty through scalable solutions.
Recognized by UNESCO, Earth5R operates in 65 countries, partnering with over 500 organizations and impacting 9 major Indian cities.
With a focus on activating two billion people in the climate economy by 2030, Earth5R is driving sustainable growth and setting a blueprint for global environmental action.

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Nordicapis

269

How APIs Should Respond to Data Sovereignty

Data sovereignty has become crucial with the emergence of various data privacy laws such as GDPR and CCPA, impacting SaaS operations like APIs.
Organizations must ensure API compliance with data sovereignty by implementing robust security measures, clarifying data locations, and adhering to local regulations.
Understanding data sovereignty regulations is essential for API providers to determine how data laws affect their services and users.
Providers need to audit where their users are located, consider data residency, and review transit paths to understand data jurisdiction and regulations they might be subject to.
Minimizing data collected to what is necessary can reduce exposure to potential risks, litigation, and regulatory penalties, particularly concerning personally identifiable information.
Implementing advanced security measures, access controls, and encryption is crucial for API providers to meet regulatory expectations, such as GDPR requirements.
Maintaining strict data residency can help mitigate jurisdiction issues, ensuring data is stored and processed in compliance with relevant laws.
Establishing an internal culture of data sovereignty, developing data protection policies, and conducting data mapping can enhance compliance and security practices.
Reviewing and adjusting technical solutions to ensure compliance with regulations, such as implementing API gateways for data handling based on user geolocation, is essential.
Adhering to data sovereignty regulations is crucial in the evolving regulatory landscape to ensure API compliance and mitigate potential legal risks.
Proactively addressing data sovereignty issues is key for API providers to navigate the complex regulatory environment and remain competitive in the global market.

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Dev

410

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ToDtype in PyTorch

ToDtype() in PyTorch is used to set a specific data type and scale the values of an Image, Video, or tensor.
It takes arguments like dtype for setting type, and scale for specifying value scaling to [0.0, 1.0].
Using ToDtype(), you can convert and scale Image, Video, or tensor data.
More specific conversions can be done using a dictionary like dtype={tv_tensors.Image: torch.float32, tv_tensors.Mask: torch.int64, 'others': None}.
The scale argument in ToDtype() allows scaling of values to a specific range if set to True.
ToDtype() requires the input to be a PIL Image, tensor, or ndarray with multiple dimensions.
In PyTorch, it is recommended to use v2 over v1 for better compatibility.
ToDtype() can handle data types like int, float, complex, and bool for Images, Videos, and tensors.
Using ToDtype with different data types and scaling options can lead to various conversion and scaling results.
Overall, ToDtype() provides a flexible way to manipulate data types and values in PyTorch for processing Images, Videos, and tensors.

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Dev

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Cheat sheet of 'Alembic' commands

alembic init alembic: This command is used to set up Alembic in your project.
alembic.ini and env.py: These files are used for configuring the database URL.
alembic revision --autogenerate: This command generates a new migration script by comparing models and the database.
alembic upgrade head: Run this command to apply migrations and make changes to the database.

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Javacodegeeks

311

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Java in 2030: Will It Survive WebAssembly?

The rise of WebAssembly (Wasm) has sparked debates about Java's future in a world where near-native web performance is possible without the JVM.
WebAssembly challenges Java with its near-native speed in browsers, polyglot flexibility, and server-side disruption.
Java could adapt through GraalVM's Wasm integration, Kotlin/Wasm experimentation, or the possibility of a WASI-enabled JVM.
In a performance showdown, Wasm wins on startup time, but Java still dominates in long-running processes.
Java might still thrive in enterprise applications, Android development, and big data, while potentially embracing Wasm for frontend modules.

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Medium

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JDoodle.ai vs Fine.dev: Which is the better vibe coding tool?

JDoodle.ai and Fine.dev are compared as vibe coding tools using the same prompt for evaluation purposes.
Fine.dev offers a clean interface with Google Sign-In, while JDoodle.ai is lightweight and straightforward.
Fine.dev takes longer to produce the app and generates output with usability flaws like unreadable UI elements and missed features.
JDoodle.ai delivers a high-quality app close to production-ready, accurately interpreting prompts and including essential features like swipe functionality.
Fine.dev is a full-stack engineer tool, handling frontend, backend, databases, authentication, and deployment, but may require technical knowledge and guidance.
JDoodle.ai focuses on ease of use, accessibility, and generating high-quality frontend applications effectively, catering to a wide user base.
JDoodle.ai excels in security by providing a dedicated integrations panel for managing API keys, addressing potential vulnerabilities.
Both tools currently only support web applications, with JDoodle.ai offering a workaround for Figma file imports.
Fine.dev starts at $13/month for unlimited access, while JDoodle.ai offers 10 free credits daily and paid subscriptions starting at $5/month.
JDoodle.ai is praised for its accuracy and ease of use, while Fine.dev is commended for its comprehensive full-stack capabilities.

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Towards Data Science

394

Building a Personal API for Your Data Projects with FastAPI

Building a personal API using FastAPI can help organize and share data and models efficiently.
A personal API is a small web service that exposes data or logic in a structured, reusable way.
Benefits of a personal API include reusability, collaboration, portability, testing, encapsulation, and versioning.
FastAPI is an ideal tool for building personal APIs due to its simplicity and power.
Use cases for personal APIs include model-as-a-service, dashboard-ready data, and reusable data access layer.
Setting up a personal API with FastAPI involves installing FastAPI and Uvicorn and creating API endpoints in a Python file.
Example code for a personal API includes functions for retrieving sensor data and triggering actions like irrigation.
FastAPI's autogenerated interactive documentation at http://localhost:8000/docs simplifies API exploration and usage.
FastAPI enables easy deployment, authentication, versioning, and integration with various applications for personalized APIs.
Building a personal API with FastAPI enhances modularity, collaboration, and scalability in data projects.

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Medium

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Does Saying ‘Please’ to ChatGPT Cost More? The Hidden Price of Politeness in AI Conversations

Saying 'please' and 'thank you' to AI systems like ChatGPT can have significant financial, environmental, and ethical costs.
OpenAI, the creators of ChatGPT, have noted that polite phrases increase operational costs by tens of millions of dollars annually.
Polite words like 'please,' 'thank you,' or 'sorry' add extra tokens to queries, increasing processing power, energy usage, and resource consumption.
While the financial and environmental costs are real, being polite to AI systems fosters a connection, encourages positive behavior, and enhances user experience.

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Dev

112

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React Native for Web: What It Is and Why Developers Use It

React Native Web allows developers to use React Native components in web browsers, enabling code sharing between web and mobile applications.
It converts React Native components like View, Text, and Image into equivalent HTML elements for web rendering.
React Native for Web simplifies development by enabling a unified codebase for both web and mobile platforms.
It offers consistency in user experience and speeds up development by reusing code across platforms.
Key libraries like react-native-web, react-native, and Expo support the functioning of React Native for Web.
Limitations include limited support for native features, styling differences between platforms, and performance issues on the web.
Setting up React Native for the web can be done with Expo for quick setup or manual setup using React Native CLI and webpack for more control.
React Native for Web is a valuable tool for cross-platform app development, offering shared components, logic, and easy scaling across platforms.
It integrates with modern dev tools and provides strong support for animations and gestures across different platforms.
Understanding the strengths and limitations of React Native for Web is crucial for developers considering its use in their projects.

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Dev

315

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Stop Relying on Just LocalStorage: Others are powerful too

LocalStorage allows storing key-value pairs in the user's browser, but has limitations such as string-only storage, limited capacity, and synchronous operations.
SessionStorage is similar to LocalStorage but with a shorter lifespan, sharing the same limitations as LocalStorage.
Cookies, small text files, are essential for web communication, but have a smaller storage capacity compared to LocalStorage and SessionStorage.
IndexedDB, a NoSQL database-like storage, offers structured data storage, larger capacity, asynchronous operations, and advanced features for complex data management in web applications.

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Dev

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I scaled my database just to destroy it

Scalability refers to a database's ability to handle more data, users, and requests without slowing down.
Ignoring scalability can lead to website performance issues and user dissatisfaction.
Vertical scaling, upgrading server hardware, provides a quick fix but is not a long-term solution.
Horizontal scaling through replication and sharding is necessary for handling increased loads and provides significant benefits.

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Dev

195

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Comparing requests, aiohttp, and httpx: Which HTTP client should you use?

The article evaluates Python HTTP client libraries requests, aiohttp, and httpx, comparing their ability to handle synchronous and asynchronous requests.
Requests can only send synchronous requests, aiohttp can only send asynchronous requests, while httpx can handle both.
Performance testing of multiple GET requests shows differences among these libraries, with results dependent on network speed.
Code examples demonstrate sending requests with requests, httpx in synchronous mode, and asynchronous mode.
Httpx's synchronous mode is highly similar to requests' code structure, making it easy to switch between them.
Asynchronous requests are illustrated using httpx and aiohttp, highlighting their functionality and performance.
Performance tests for sending 100 requests showcase time consumption using requests, httpx, and aiohttp.
Connection management impacts speed, with requests.session outperforming basic requests in sending multiple requests.
Recommendations include using requests for small requests, httpx for mixed requests, and aiohttp for high-speed requirements.
Lastly, the article suggests Leapcell as a suitable platform for deploying Python services, offering flexibility and scalability.

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Medium

232

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How AI Is Learning—Almost Like a Human, Just Without the Sleep or Snacks

AI is learning through massive amounts of data, spotting patterns, and making predictions.
Neural networks, inspired by the way our brains work, power this learning process.
AI also uses reinforcement learning to improve by getting feedback and learning from failures.
AI's problem-solving methods may be unconventional, but they are efficient and sometimes brilliant.

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Medium

318

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The Future of Java: Will It Survive the AI Era?

Java, the traditional enterprise language, is facing challenges in the AI era.
Python has emerged as the preferred language for AI with its popular libraries and frameworks.
Java's reputation as a solid and predictable language is being questioned in the bleeding-edge tech era.
The future of Java in the AI age remains uncertain, with some seeing it as potentially becoming irrelevant.

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