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Catalogue complet

Brikman Yevgeniy: Fundamentals of Devops
and Software Delivery

Fundamentals of Devops and Software Delivery

A Hands-On Guide to Deploying and Managing Software in Production

You've seen what Python can do. Now go deeper. This workbook transforms Al Sweigart’s best-selling guide from a reading experience into a coding experience. Following Automate the Boring Stuff with Python chapter by chapter, this workbook will help you turn concepts into muscle memory through carefully designed exercises, projects, and real Python scripts. Every concept from Automate is reinforced through carefully sequenced questions, exercises, and projects that help you think like a programmer and prove to yourself that you really get it. At the end of each chapter, you’ll tackle miniprojects that bring everything together. Whether you’re renaming files, scraping websites, converting text to speech, modifying spreadsheets, or sending emails, you’ll build scripts that do real work. Fun projects like image generators and word games are in the mix too, not just boring stuff. Every question and project come with a solution at the back of the book, so you’re never stuck. Inside, you’ll find: <ul><li> Fill-in-the-blank and short-answer questions that reinforce key concepts</li><li>Targeted exercises to build fluency with variables, loops, functions, regular expressions, and more</li><li>Real Python scripts to run, tweak, and debug</li><li>Projects that automate common tasks like organizing files, backing up data, and scheduling programs</li><li>Full working code for every project so you can check your work and learn by example</li></ul> With over 500,000 copies sold worldwide, Automate the Boring Stuff with Python has become the go-to guide for learning Python. This workbook gives you the structure, feedback, and smart reinforcement to go from reading code to writing it with confidence.

Projects and Exercises to Sharpen Your Python Skills

Automate the Boring Stuff with Python Workbook

Systems Innovation Book Series

This volume focuses on the broad scope of systems engineering and recent energy technology developments as they relate to the oil and gas industry, which remains a lifeline to communities around the world.

Systems Engineering and Technology

Project Management for the Oil and Gas Industry

See How the Magic Happens Built with ARM A64 Assembly Language The ARM edition of Introduction to Computer Organization will show you how high-level code connects to computer hardware through ARM 64-bit assembly language. You’ll learn ARM assembly language from the ground up, and all you’ll need is some basic experience with programming. As you grow to understand ARM’s 64-bit design (from first principles), you’ll develop the skills to write more efficient, optimized code. Learn the fundamentals: <ul><li>Data storage formats and computer encoding</li><li>Binary and hexadecimal arithmetic operations</li><li>Boolean algebra and logic gates</li><li>Digital circuit design&nbsp; </li></ul> Explore how software and hardware interact: <ul><li>Memory hierarchy, from CPU registers to the cloud</li><li>CPU architecture and instruction execution</li><li>ARM 64-bit assembly language programming </li></ul> Get hands-on experience programming the GPIO on Raspberry Pi 3, 4, and 5 in assembly. Use GNU programming tools to examine code generated from C and C++ by the compiler, write assembly programs from scratch, and use the debugger to visualize execution, inspect registers, and understand machine-level operations. Each chapter includes practical “Your Turn” exercises to reinforce key concepts and build real-world programming skills. Whether you’re optimizing code performance, developing embedded systems, or simply curious about how computers execute your programs, this guide provides deep insight into how software and hardware interact to bring programs to life.

Introduction to Computer Organization: ARM Edition

The Science of Talent Dynamics: Smart Workforce Design for Biomanufacturing and Industry 4.0 addresses a critical business challenge: why well-qualified workforces underperform despite sophisticated analytics. Based on five years of research across 447 biopharmaceutical companies, the book introduces the Talent Efficiency (TE) framework, which treats talent as value-generating assets rather than costs to be managed. This approach is especially relevant today, when intangible assets represent over 90% of S&amp;P 500 market value.The book presents the Talent Efficiency framework in four parts: establishing the strategic need, explaining the Biopharma Talent Index and its six core components, demonstrating real-world applications, and providing implementation tools. The framework's effectiveness is proven by top-quartile TE performers achieving 14.8 percentage point higher EBITDA margins, 23% faster clinical development, and 31% fewer manufacturing deviations. Its modular design makes it applicable across various industries.Written for organizational leaders who demand measurable results from their talent investments, this book equips C-suite executives, board directors, and institutional investors with a framework to quantify workforce performance impact. It also serves talent leaders, strategic planners, and data architects, aligning workforce capabilities with business goals. While developed in biopharma, the principles apply to any knowledge-intensive field, from manufacturing to financial services, making it valuable for leaders managing innovation, regulatory challenges, workforce design, and enterprise value creation.

Smart Workforce Design for Biomanufacturing and Industry 4.0

The Science of Talent Dynamics

An informative text for understanding and applying design thinking across strategic organizations. Design Thinking for Business and Management examines how design thinking can be used as a strategic capability to drive innovation, problem solving and organizational transformation. Written by Mersha Aftab, this textbook is designed for final-year undergraduate and postgraduate students studying design thinking and design management. Focusing on human-centred approaches, the book explores how design principles and strategies support creativity, adaptability and competitive advantage in complex business environments. It addresses the role of digital and technological advancements in transformation, alongside ethical, social and sustainable considerations that shape responsible design-led decision making. Practical insight is reinforced through real-world examples from organizations including Nike, Tesla, Netflix, Zappos and 3M. This textbook includes: - Design strategies and principles for structured problem solving - Coverage of digital and technological change in design-led transformation - Ethical, social and sustainable perspectives on design thinking - Human-centred approaches to innovation and organizational success &gt;Whether studying design management or preparing to apply design thinking in business practice, Design Thinking for Business and Management equips students with the mindset and tools to foster innovation and deliver meaningful organizational outcomes.

Strategies, Principles and Practice for Innovation

Design Thinking for Business and Management

Enterprises building complex and large-scale applications in the cloud face multiple challenges. From figuring out the right tools to estimating the right provisioning, nearly every solution comes with a complicated set of choices and trade-offs. AWS provides a one-stop shop for building and scaling these applications, and this practical guide helps you decide which pieces to use and how to fit them together. Authors Jayanth Kumar and Mandeep Singh equip software architects and engineers with essential AWS and system design knowledge to help you make good decisions and overcome the challenges of designing and scaling enterprise software architecture. By diving into specific use cases, you'll understand how these principles and resources can be applied to real-world problems. With this book, you will: <ul> <li>Learn the basics and best practices of successful system design </li><li>Understand key AWS services and their strengths and limitations for building large-scale systems </li><li>Examine engineering patterns and principles that best support large-scale systems, and learn how to design architecture with scalability, operations, and resilience in mind </li><li>Learn what highly performant and cost-optimized architectures look like on AWS and the tools and frameworks that are best for specific use cases <ul>
</ul></li></ul>

Building and Scaling Enterprise Solutions

System Design on AWS

This new edition continues to explore the intricate processes of designing, developing, and manufacturing automotive products by integrating multiple levels of complex systems. It describes systems engineering and attribute engineering, ensuring the new product meets the customer's desired attributes. It also discusses cascading vehicle-level attribute requirements to all vehicle systems, analyzing interfaces between systems, and developing interface requirements for seamless collaboration.The second edition of Automotive Product Development: A Systems Engineering Implementation has been meticulously revised to incorporate the most recent innovations in vehicle powertrains, driver interfaces, and state-of-the-art manufacturing techniques. Additionally, it discusses the influence of government regulations on safety, fuel economy, and emissions. This enhanced edition boasts four new chapters, 12 new sections, and updated examples in implementing new technologies, providing a comprehensive overview of the industry's challenges and the array of approaches and tools at engineers' disposal for designing, analyzing, and evaluating products. By mastering these essential steps, engineers can develop products that not only meet but exceed the needs and expectations of their customers.The ongoing goal of this book is to equip practicing and future engineering graduates in the automotive industry with the essential knowledge needed to understand the product development process and how to implement systems engineering.Supplemental materials are available to download at Routledge.com/9781032997902

A Systems Engineering Implementation

Automotive Product Development

As cloud technology becomes increasingly essential across industries, the need for thorough security knowledge and certification has never been more crucial. The Certificate of Cloud Security Knowledge (CCSK) exam, globally recognized and highly respected, presents a formidable challenge for many. Author Graham Thompson offers you in-depth guidance and practical tools not only to pass the exam but also to grasp the broader implications of cloud security. This book is filled with real-world examples, targeted practice questions, and the latest on zero trust and AI security--all designed to mirror the actual exam. By reading this book, you will: <ul> <li>Understand critical topics such as cloud architecture, governance, compliance, and risk management</li> <li>Prepare for the exam with chapter tips, concise reviews, and practice questions to enhance retention</li> <li>See the latest on securing different workloads (containers, PaaS, FaaS) and on incident response in the cloud</li> <li>Equip yourself with the knowledge necessary for significant career advancement in cloud security</li> </ul>

In-Depth Guidance and Practice

Certificate of Cloud Security Knowledge (CCSK v5) Official Study Guide

A one-stop-shop for all the math you should have learned for your programming career. Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.&nbsp; In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms. Through clear explanations and practical examples, you’ll learn to: <ul><li>Harness linear algebra to manipulate data with unprecedented efficiency</li><li>Apply calculus concepts to optimize algorithms and drive simulations</li><li>Use probability and statistics to model uncertainty and analyze data</li><li>Master the discrete mathematics that powers&nbsp;modern data structures</li><li>Solve dynamic problems through differential equations</li></ul> Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

Math for Programming

ICTAR 2025 is the second international conference conducted by NSBM Green University in Sri Lanka under the theme, "Breaking boundaries: Breakthrough research in a changing world". This is a multidisciplinary conference focuses on a diverse community of scholars, researchers and practitioners from around the globe to explore innovative approaches and breakthroughs in applied research across various disciplines, i.e., computing, engineering, business management, science and technology. ICTAR differs from other multidisciplinary conferences by its broader scope, larger scale and quality of publication (e.g., published with a reputed academic publisher). ICTAR dives into engaging discussions, presentations, and workshops covering a wide array of transformative topics, spanning from cutting-edge advancements in technology and science to impactful solutions addressing pressing societal challenges. The major expected research outcomes of ICTAR would involve producing a conference report published with a reputed academic publisher which targets indexing in academic databases to make the studies easily searchable and discoverable, publishing selected papers in indexed academic journals, and creating platforms for ongoing research collaborations. These research outcomes can significantly impact the research and academic community by advancing knowledge, fostering collaborations and influencing future directions of applied research. These outcomes may lead to new discoveries, improved methodologies, and a better understanding of complex issues, ultimately contributing to the broader academic and societal landscape.

Breakthrough research in a changing world

Transformative applied research

Maintaining secrets, credentials, and machine identities in secure ways is an important, though often overlooked, aspect of secure software development. DevOps security often addresses vulnerabilities, but it neglects broader discussions like authentication, authorization, and access control, potentially leaving the door open for breaches. That's where an identity security strategy integrated in your code, infrastructure, and environments from day one can help. In this practical book, authors John Walsh, Uzi Ailon, and Matt Barker provide conceptual frameworks, technology overviews, and useful code snippets to bridge the gap between development, IT, and security to integrate robust identity security across apps, CI/CD pipelines, Kubernetes and cloud native, hybrid and multicloud, process automation, IoT, and more. You'll learn: <ul> <li>What developers need to know about managing secrets and identity to build safer apps </li><li>What machine identities, secrets, and credentials are--and how to secure them </li><li>How to secure the software supply chain to build safer apps </li><li>How identity security fits into modern software development practices </li></ul>

Building with Identity, Secrets, and Credentials

Identity Security for Software Development

Want to build big data solutions in Google Cloud? Dataproc Cookbook is your hands-on guide to mastering Dataproc and the essential GCP fundamentals--like networking, security, monitoring, and cost optimization--that apply across Google Cloud services. Learn practical skills that not only fast-track your Dataproc expertise, but also help you succeed with a wide range of GCP technologies. Written by data experts Narasimha Sadineni and Anu Venkataraman, this cookbook tackles real-world use cases like serverless Spark jobs, Kubernetes-native deployments, and cost-optimized data lake workflows. You'll learn how to create ephemeral and persistent Dataproc clusters, run secure data science workloads, implement monitoring solutions, and plan effective migration and optimization strategies. <ul> <li>Create Dataproc clusters on Compute Engine and Kubernetes Engine </li><li>Run data science workloads on Dataproc </li><li>Execute Spark jobs on Dataproc Serverless </li><li>Optimize Dataproc clusters to be cost effective and performant </li><li>Monitor Spark jobs in various ways </li><li>Orchestrate various workloads and activities </li><li>Use different methods for migrating data and workloads from existing Hadoop clusters to Dataproc </li></ul>

Running Spark and Hadoop Workloads in Google Cloud

Dataproc Cookbook

Fundamentals of Devops and Software Delivery

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