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Showing posts from January, 2026

Deploying a Python API to the Cloud in 2026

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Deploying a Python API to the Cloud in 2026: Beginner Step-by-Step Guide Building a Python REST API is only the first step. In 2026, knowing how to deploy a Python API to the cloud is an essential skill for developers who want to ship real applications. In this guide, you’ll learn the core concepts of cloud deployment and how to deploy a simple Python FastAPI application step by step. What Does It Mean to Deploy an API? Deploying an API means making it accessible on the internet so other applications, users, or services can use it. Once deployed, your API can: Serve web and mobile apps Power AI services Handle real users and requests Run 24/7 on cloud servers Common Cloud Platforms for Python APIs In 2026, these cloud platforms are popular for Python API deployment: Railway – Very beginner-friendly Render – Simple and reliable Fly.io – Great for APIs and microservices AWS / Google Cloud – Powerful but more complex For beginners, mana...

Best Python Projects for Beginners in 2026 (With Real-World Ideas)

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Best Python Projects for Beginners in 2026 (With Real-World Ideas) Learning Python becomes much easier when you build real projects. In 2026, companies and recruiters value practical Python skills more than theory alone. This article lists the best Python projects for beginners, explains what you will learn from each one, and shows how these projects connect to real-world applications. Why Python Projects Matter for Beginners Projects help you: Understand how Python works in real scenarios Build confidence as a developer Create a portfolio to showcase your skills Prepare for backend, AI, and automation roles Even simple projects can demonstrate strong fundamentals. 1. Python Automation Script Project idea: Automate a repetitive task like renaming files or cleaning folders. Skills learned: Working with files and directories Using Python standard libraries Writing reusable functions This is often the first project beginners complete. 2. R...

Where to Learn Python in 2026: Tools, Installation, and Your First REST API

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Where to Learn Python in 2026: Tools, Installation, and Your First REST API Python remains one of the most in-demand programming languages in 2026, especially for web development, automation, and Artificial Intelligence. If you are starting today, knowing where to learn Python , which tools to install , and how to build a real project is essential. This guide walks you through the best learning resources, required software, and a simple REST API integration using Python. Where to Learn Python in 2026 There are many platforms to learn Python, but the best ones focus on hands-on practice and real-world projects. Free Learning Resources Official Python Documentation – Clear and beginner-friendly tutorials freeCodeCamp – Full Python courses with projects Codecademy (Free Tier) – Interactive Python lessons YouTube – Channels focused on Python basics and automation Paid Learning Platforms Udemy – Structured Python courses with lifetime access Coursera...

Python Growth in 2026: Why It’s Powering the AI Revolution

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Python Growth in 2026: Why It’s Powering the AI Revolution In 2026, Python continues to be the fastest-growing programming language, largely driven by the explosive adoption of Artificial Intelligence (AI). From startups to large enterprises, Python has become the default choice for building AI-powered applications. But why is Python growing so fast alongside AI? And how can beginners start learning it with an AI-focused mindset? Why Python Is Still Growing Rapidly in 2026 Python’s growth is not accidental. It combines simplicity, flexibility, and a massive ecosystem that perfectly matches modern AI needs. Easy to learn: Python’s syntax is readable and beginner-friendly. Huge AI ecosystem: Libraries like TensorFlow, PyTorch, Scikit-learn, and OpenAI SDKs dominate the AI space. Industry adoption: Companies like Google, OpenAI, Meta, Microsoft, and Tesla heavily rely on Python. Rapid prototyping: Ideal for experimenting and iterating AI models quickly. The ...

Beyond the Cloud: Why Edge AI is the Next Big Tech Shift in Hong Kong.

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Beyond the Cloud: Why Edge AI is the Next Big Tech Shift in Asia – A Deep Dive for Professionals Unpacking the strategic imperative for on-device intelligence and real-time processing across the Asian tech landscape. In the relentless pursuit of technological supremacy, the focus of the global AI discourse has largely centered on colossal cloud-based Large Language Models (LLMs) and distributed data centers. Yet, as we progress deeper into 2026, a quieter, more profound revolution is underway, particularly across Asia: the ascendancy of Edge AI . This isn't merely an incremental improvement; it represents a fundamental re-architecting of how AI is deployed, managed, and monetized. For tech professionals, enterprises, and investors from Hong Kong to Singapore, understanding this pivot from centralized cloud processing to localized, on-device intelligence is critical. It addresses inherent limitations of cloud AI, such as latenc...

Silver Price Forecast 2026: Will the "Poor Man's Gold" Finally Hit $100?

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Silver’s Path to $100: Strategic Investment Opportunity or the Next Great Bubble? As we navigate the first quarter of 2026, the financial landscape is dominated by a single asset class: Commodities . Specifically, Silver (XAG) has transitioned from being "Gold’s volatile cousin" to the best-performing asset in the global market. With prices hovering near historic resistance levels, the debate is no longer about whether silver is undervalued, but whether it is destined to hit the triple-digit milestone of $100 per ounce before year-end. The Macro Fundamentals: A "Perfect Storm" From an analytical perspective, the current rally is not driven purely by retail sentiment. It is the result of a structural supply-demand deficit that has been compounding for five years. Industrial Irreplaceability: In 2026, silver is no longer just a monetary metal. The massive expansio...

Cordova is Deprecated: A Senior Developer’s Guide to Migrating Plugins to Capacitor

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Bridging the gap between the "Plugin.xml" era and Native-First Architecture. Why the Shift? The Architecture Paradigm Change For a Senior Cordova Developer, the move to Capacitor isn't just a "version upgrade"—it's a fundamental shift in Source of Truth . In Cordova, your native projects (Android/iOS) were transient build artifacts generated by a CLI. If you touched the code inside /platforms , it would be wiped out on the next build. Capacitor flips this: The native project is now committed to your repository . You no longer "inject" code; you develop inside the native IDEs (Android Studio/Xcode). This eliminates the "Build Hook" nightmare and gives you 100% control over the native lifecycle. 1. Structural Anatomy: Goodbye plugin.xml The biggest hurdle for senior devs is unlearning the plugin.xml . Capacitor uses standard package.json d...