This guide explains how unemployed developers can use Python, especially web‑scraping techniques, to secure freelance gigs by leveraging various platforms, community groups, and effective order‑taking strategies while warning about common pitfalls and anti‑scraping challenges.
Low-code development is gaining momentum, and this article compiles a curated list of 17 open-source low-code and no-code platforms—including Saltcorn, Joget DX, Digdag, Stackstorm, CUBA Platform, Skyve, and others—detailing their key features, licensing, and repository links for developers seeking rapid application building solutions.
This roundup covers Zoom's $100 million development fund investments, Docker Desktop's new subscription pricing, Databricks' $1.6 billion Series H financing, HashiCorp's multi‑cloud strategy survey, the KVSSD storage paper, and the upcoming Kubernetes Community Days in China.
This article introduces the rising low‑code/no‑code trend and provides a curated list of fifteen open‑source platforms—such as Saltcorn, Joget DX, Digdag, and Metabase—detailing their key features, licensing, deployment options, and typical use cases for rapid application development.
This article introduces the rising low-code/no-code trend, explains its visual‑drag‑and‑drop approach versus traditional coding, and provides concise overviews of 18 open‑source platforms—including Saltcorn, Joget DX, Digdag, StackStorm, CUBA Platform, Skyve, and more—highlighting their key features, licensing, and deployment options.
Low‑code and no‑code platforms are gaining momentum, and this article curates 18 open‑source solutions, detailing their key features, licensing, supported languages, deployment options, and providing official repository or website links for developers and enterprises seeking rapid application development.
This article explores the landscape of open‑source cloud platforms and tools—such as AppScale, Kubernetes, and OpenStack—detailing their capabilities, cost advantages, and how they compare to proprietary services, while also covering monitoring, cost‑optimization, and infrastructure‑as‑code solutions for modern enterprises.
The article presents a comprehensive cloud computing reference architecture, illustrating private and hybrid cloud designs, discussing platform choices, storage solutions, scalability, elasticity, and key considerations such as availability, manageability, and feasibility for building robust, cost‑effective systems.
This comprehensive FAQ covers cloud computing advantages, major platforms, deployment models, security measures, service types, and practical considerations, providing clear answers to over thirty common questions for anyone looking to understand or adopt cloud technologies.
This guide lists and briefly describes 18 open‑source and cloud‑based machine learning platforms—from H2O and TensorFlow to Azure ML and AWS services—highlighting their key features, supported languages, and typical use cases for developers at any skill level.
The article analyzes how Apple’s App Store generates over $100 billion for developers while imposing high fees, contrasts this with Microsoft’s $7.5 billion acquisition of GitHub, and explains why platforms and developers are mutually dependent yet costly.
The article reviews the evolution and challenges of deep learning, outlines major commercial platforms such as DistBelief, COTS, and Adam, compares open‑source frameworks like MXNet, TensorFlow and Petuum, and highlights their architectures, performance metrics, and diverse applications ranging from image recognition to recommendation systems.
This article explains what an IoT operating system is, why it matters, its key characteristics, lists major platforms and standard bodies, and analyzes the strategic moves of leading tech companies while highlighting Huawei's own IoT solutions.
