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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration! ![]() Free Download Mastering Quality Engineering for SAP S/4HANA: Build Resilient, Enterprise Grade Software Testing Strategies that Drive Continuous Quality Throughout SAP S/4HANA Transformations by Jeevan Koneti English | 2025 | ISBN: 9789349888425 | 402 pages | True epub | 59 MB ![]() Free Download Mastering Python Regex: A Comprehensive Guide by Samantha Huffer English | 2025 | ASIN: B0GCL4HV4H | 33 pages | pdf | 15 MB ![]() Free Download Mastering Python: A Comprehensive Beginner's Journey into the World of Programming with Step-by-Step Guidance by Chloe Annable English | 2024 | ISBN: 1230007285462 | 71 pages | True epub | 154.47 KB ![]() Free Download Mastering Price Action: Decoding Market Moves for Trading Success English | May 25, 2025 | ASIN: B0F9XHFTCV | 76 pages | Epub | 2.65 MB Mastering Price Action for Consistent Trading Success is a comprehensive guide designed for traders who want to unlock the power of price action trading. This book takes you beyond traditional indicators, diving deep into the essence of the market-price itself. By focusing solely on price movement, you'll learn to interpret and react to the market's real-time signals with precision and confidence. ![]() Free Download Mastering Practical Computer Vision with TensorFlow: A Beginner's Guide to Visual AI, Object Detection, Image Classification, and Real-World AI Projects with Cutting-Edge Deep Learning Models by Wilson Hayes English | January 5, 2025 | ISBN: B0DSB2K6D1 | 256 pages | EPUB | 1.73 Mb Unlock the full potential of computer vision with TensorFlow in this comprehensive, hands-on guide. Whether you're just starting or looking to deepen your understanding, this book is your gateway to mastering visual AI and leveraging it for real-world applications. From image classification to object detection, this beginner's guide takes you through each critical aspect of computer vision, offering practical examples, step-by-step projects, and the tools you need to implement your own models with TensorFlow. ![]() Free Download Mastering Playwright: A Complete Guide to Modern Test Automation English | December 27, 2025 | ASIN: B0GCSQJ4TN | 194 pages | Epub | 765.54 KB Preface The Evolution of Software Quality and the Rise of Playwright Software has become the backbone of modern civilization. From banking and healthcare to education, governance, retail, and entertainment, software systems now influence nearly every aspect of human life. As dependency on digital platforms increases, the tolerance for defects, downtime, and poor user experience has sharply declined. In this reality, quality is no longer a phase at the end of development-it is a continuous discipline embedded throughout the software delivery lifecycle. Historically, testing was treated as a manual, time-consuming, and often undervalued activity. Testers worked under tight deadlines, validating applications after development was complete, frequently discovering defects when it was already expensive and risky to fix them. As Agile and DevOps practices gained momentum, this approach became unsustainable. Teams needed faster feedback, repeatable validation, and confidence with every code change. Test automation emerged not as a luxury, but as a necessity. Yet, automation itself has gone through multiple generations. Early tools required complex setups, brittle scripts, heavy maintenance, and deep technical expertise. Flaky tests, browser incompatibilities, synchronization issues, and slow execution often reduced trust in automated suites. Many organizations invested heavily in automation only to abandon it due to poor ROI. This created a critical need for a modern, reliable, and developer-friendly automation solution-one that truly aligned with contemporary web technologies and delivery models. This is the space where Playwright has made a transformative impact. Why Playwright Represents a Paradigm Shift Playwright is not just another test automation tool; it is a reflection of how web applications are built and used today. Modern applications are dynamic, asynchronous, API-driven, and heavily reliant on jаvascript frameworks such as React, Angular, and Vue. Traditional automation tools struggle to handle these complexities gracefully. Playwright, however, was designed from the ground up with modern web behavior in mind. Built by Microsoft, Playwright provides a single, unified API to automate Chromium, Firefox, and WebKit browsers. This alone eliminates a major pain point faced by automation engineers for years-cross-browser inconsistency. 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If your analyses break when data gets messy, slow down at scale, or become impossible to reproduce, it's not a Pandas problem. It's a workflow problem. Mastering Pandas Python 2.x is a practical, production-focused guide to using Pandas the way experienced data professionals actually do. At its core, this book shows you how to move beyond ad-hoc notebooks and fragile scripts to build high-performance, trustworthy, and reproducible data analysis workflows with Pandas 2.x. This book is not about memorizing functions. It is about learning how to think clearly with Pandas, how to inspect data correctly, clean it safely, enforce business rules in code, engineer features with confidence, and optimize performance before scaling becomes necessary. Every chapter is grounded in realistic scenarios drawn from analytics, data engineering, and applied data science work. By the end of this book, you will be able to: Design clean, readable Pandas pipelines that hold up in production Validate data explicitly and fail fast when assumptions are violated Engineer powerful features using grouped statistics and time-aware operations Handle irregular, missing, and sparse time-series data without misleading results Profile Pandas code to identify real bottlenecks and fix them effectively Avoid common Pandas anti-patterns that silently corrupt data or destroy performance Produce reproducible analyses and exports that others can trust and reuse Written for data scientists, data analysts, data engineers, and software engineers , this book reflects the modern Pandas 2.x API and the best practices that have emerged from years of production use. It shows when Pandas is the right tool, when it needs support from NumPy, visualization libraries, or distributed systems, and how to make those decisions deliberately. 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