When a sudden bureaucratic policy change shatters their promised future in Australia, two highly skilled migrants are thrust into a hidden world of grueling manual labor and endless paperwork. Stripped of their professional identities, they must rely on a newfound community of fellow exiles to navigate a terrifying legal maze. The Bridging Exile is a gripping exploration of identity, resilience, and what it truly means to build a home in the dark.
Apa yang tersisa dari kerja kita, selain riwayat commit? Sebagian pekerjaan selesai ketika laptop ditutup. Sebagian karya terus berjalan: website yang tetap dibaca, sistem yang tetap dipakai panitia, dokumentasi yang membuat pekerjaan tidak berhenti di satu orang. Allah berfirman: إِنَّا نَحْنُ نُحْيِي الْمَوْتَىٰ وَنَكْتُبُ مَا قَدَّمُوا وَآثَارَهُمْ ۚ وَكُلَّ شَيْءٍ أَحْصَيْنَاهُ فِي إِمَامٍ مُبِينٍ “Sesungguhnya Kami menghidupkan orang-orang mati dan Kami menuliskan apa yang telah mereka kerjakan serta bekas-bekas yang mereka tinggalkan. Segala sesuatu Kami kumpulkan dalam kitab yang jelas.” (QS. Yasin: 12) Buku ini adalah pengingat sebelum menjadi ajakan: bahwa waktu, keahlian, dan kesempatan belajar yang Allah titipkan tidak seharusnya berhenti hanya pada urusan pekerjaan. Di dalamnya ada sepuluh bentuk karya digital yang bisa dimulai seorang programmer — dari satu halaman jadwal kajian, pencatatan donasi, arsip materi, sampai mengajari satu orang. Semuanya disertai pagar niat, ikhlas, ilmu, dan cara. Bukan ajakan untuk menjadi sibuk terus-menerus. Ajakan untuk memilih satu karya kecil yang manfaatnya bisa berulang.
A practical guide to building reliable LLM integrations that hold up in production. Learn how to design provider-agnostic APIs, handle failures, add observability and security, and keep your architecture maintainable. With a complete Python codebase, this book turns proven patterns into working software.
When a stranger's student ID mysteriously appears in a locked car, a chaotic share house spirals into a web of paranoia and suspicion. It takes the forensic patience of a makeshift detective to unravel the truth behind a missing spare key, a stolen identity, and a petty act of jealousy. Before asking who the villain is, they must first discover exactly how the girl got into the car.
Prepare for real-world frontend interviews with practical answers, coding patterns, trade-offs, and senior-level insights across React Native, React, JavaScript, TypeScript, Node.js, DSA, and System Design.
Build reliable, production-ready search systems with embeddings and neural reranking. Learn how to turn semantic meaning into relevant results, refine retrieved content and deliver better context for AI-generated answers. With hands-on Python examples and practical architectures, this book takes you from core concepts to real-world RAG systems.
Answered sounds like it worked. Twice, it didn't. This book measures exactly where six seconds of silence goes in a real phone call, and does not stop measuring for the next thirty-four chapters.
A complete, beginner‑friendly guide to earth‑sheltered home design, covering bermed homes, fully underground builds, passive solar strategies, waterproofing, ventilation, and real‑world case studies.
Modern C++ Memory Safety shows you how to make existing C++ systems safer without starting over. Learn practical ways to find and fix memory safety issues using modern C++, compiler tools, sanitizers, static analysis and fuzzing, with techniques you can apply directly to real production code.
Build the practical skills to run better stores, serve customers, control inventory, improve profitability, and lead retail teams with confidence.
AI can write code fast, but getting reliable software still starts with clear thinking. This book shows how to turn ideas into precise specifications, then use AI assistants and autonomous agents to build, test and maintain real-world software. Follow a complete project from business problem to production and learn a practical approach to AI-assisted development.
Every test you have ever written assumed the same input gives the same output. Large language models broke that assumption, and with it most of what our profession knows about verification. This is the discipline that replaces it — golden datasets, property assertions, LLM judges you can actually trust, retrieval evaluation, adversarial suites, and CI gates that let a pipeline say no to a model.
Complete Ebook + Quick Reference Guide + All 5 Project Folders (Pre-written Starter Templates + Complete Final Source Code).
AI can analyze the data. But who decides what the data means—and what to do next?Modern organizations have more information than ever, yet making good decisions remains difficult.AI-Powered Smart Decision Making shows how to combine AI, data, analytics, and human judgment to turn information into insight and insight into action.Discover a practical framework for making better decisions across strategy, marketing, sales, operations, finance, risk, and beyond.AI is not the decision. AI improves the decision process. Table of ContentsIntroduction—The New Era of AI-Powered Decision MakingChapter 1 — The Foundations of Better Business DecisionsChapter 2 — From Intuition to Data-Driven Decision MakingChapter 3 — Understanding Data for Better DecisionsChapter 4 — Business Analytics: Turning Data into InsightChapter 5 — How AI Changes Business Decision MakingChapter 6 — Building an AI-Powered Decision FrameworkChapter 7 — Asking the Right Questions: AI, Data & Decision ProblemsChapter 8 — Predictive Decision MakingChapter 9 — Prescriptive Analytics and Decision OptimizationChapter 10 — AI for Strategic Business DecisionsChapter 11 — AI for Marketing and Customer DecisionsChapter 12 — AI for Sales, Operations and Supply ChainChapter 13 — AI for Financial and Risk DecisionsChapter 14 — Human + AI: The New Decision-Making PartnershipChapter 15 — Bias, Uncertainty and the Limits of AI DecisionsChapter 16 — Trustworthy, Responsible and Explainable AI DecisionsChapter 17 — Measuring Decision Quality and Business ImpactChapter 18 — Building an AI-Powered Decision CultureChapter 19 — Designing an AI-Powered Decision SystemChapter 20 — The Future of Smart Decision MakingConclusion — From Data to Better DecisionsDisclaimer
