| year of publication | ISBN | author(s) | title |
|---|
| 2004 | 978-1-4920-0001-3 | Agenda mini 2005 |
| '' | 978-1-4920-0004-4 | Agenda executif poche 2005 tx |
| '' | 978-1-4920-0006-8 | Agenda ssd-1 2005 tx |
| '' | 978-1-4920-0009-9 | Agenda express 2005 tx |
| '' | 978-1-4920-0012-9 | Agenda moderne 2005 tx |
| 2004 | 978-1-4920-0015-0 | Agenda poche hebdo. 2005 tx |
| '' | 978-1-4920-0018-1 | Agenda bureau quotidien 2005 tx |
| '' | 978-1-4920-0021-1 | Agenda bureau hebdo. 2005 tx |
| '' | 978-1-4920-0024-2 | Agenda scolaire 2005 tx |
| 978-1-4920-0031-0 | Carnet d'adresses |
| 2006 | 978-1-4920-0079-2 | Mon histoire: album de bébé |
| 2017 | 978-1-4920-2374-6 | Cindy Alvarez | Lean Customer Development: Building Products Your Customers Will Buy |
| 2019 | 978-1-4920-2433-0 | Yves Hilpisch | Python for Finance: Mastering Data-Driven Finance |
| 2018 | 978-1-4920-2478-1 | Blair Reeves · Benjamin Gaines | Building Products for the Enterprise: Product Management in Enterprise Software |
| '' | 978-1-4920-2869-7 | Ric Messier | Learning Kali Linux: Security Testing, Penetration Testing, and Ethical Hacking |
| 2018 | 978-1-4920-2950-2 | Betsy Beyer · Niall Richard Murphy · David K. Rensin · Kent Kawahara · Stephen Thorne | The Site Reliability Workbook: Practical Ways to Implement SRE |
| '' | 978-1-4920-2964-9 | Jennifer Greene · Andrew Stellman | Head First PMP: A Learner's Companion to Passing the Project Management Professional Exam |
| 2019 | 978-1-4920-3108-6 | Claus O. Wilke | Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures |
| '' | 978-1-4920-3149-9 | Jimmy Song | Programming Bitcoin: Learn How to Program Bitcoin from Scratch |
| '' | 978-1-4920-3160-4 | Jim Van Meggelen · Russell Bryant · Leif Madsen | Asterisk: The Definitive Guide: Open Source Telephony for the Enterprise |
| '' | 978-1-4920-3264-9 | Aurélien Géron | Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems |
| 2018 | 978-1-4920-3279-3 | Charles Givre · Paul Rogers | Learning Apache Drill: Query and Analyze Distributed Data Sources with SQL |
| 2018 | 978-1-4920-3351-6 | Matt LeMay | Agile for Everybody: Creating Fast, Flexible, and Customer-First Organizations |
| '' | 978-1-4920-3391-2 | Brendan Burns · Craig Tracey | Managing Kubernetes: Operating Kubernetes Clusters in the Real World |
| 2021 | 978-1-4920-3402-5 | Sam Newman | Building Microservices: Designing Fine-Grained Systems |
| 2019 | 978-1-4920-3486-5 | Anirudh Koul · Siddha Ganju · Meher Kasam | Practical Deep Learning for Cloud and Mobile: Hands-On Computer Vision Projects Using Python, Keras & TensorFlow |
| '' | 978-1-4920-3564-0 | Ankur A. Patel | Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data |
| 2018 | 978-1-4920-3673-9 | Sean P. Kane · Karl Matthias | Docker: Up & Running: Shipping Reliable Containers in Production |
| '' | 978-1-4920-3725-5 | Ben Evans · David Flanagan | Java in a Nutshell: A Desktop Quick Reference |
| 2019 | 978-1-4920-3765-1 | Boris Cherny | Programming TypeScript: Making Your JavaScript Applications Scale |
| '' | 978-1-4920-3968-6 | Eric R. Johnston · Nic Harrigan · Mercedes Gimeno-Segovia | Programming Quantum Computers: Essential Algorithms and Code Samples |
| 2019 | 978-1-4920-3983-9 | Bharath Ramsundar · Peter Eastman · Patrick Walters · Vijay Pande | Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More |
| 2018 | 978-1-4920-4020-0 | Allen Downey | Think Complexity: Complexity Science and Computational Modeling |
| 2019 | 978-1-4920-4034-7 | Alex Petrov | Database Internals: A Deep Dive into How Distributed Data Systems Work |
| 2018 | 978-1-4920-4040-8 | David Pogue | macOS Mojave: The Missing Manual: The book that should have been in the box |
| '' | 978-1-4920-4041-5 | David Pogue | iPhone: The Missing Manual: The book that should have been in the box |
| 2019 | 978-1-4920-4068-2 | JD Long · Paul Teetor | R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics |
| '' | 978-1-4920-4076-7 | John Arundel · Justin Domingus | Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud |
| 2020 | 978-1-4920-4105-4 | John Chapin · Mike Roberts | Programming AWS Lambda: Build and Deploy Serverless Applications with Java |
| 2019 | 978-1-4920-4113-9 | Joel Grus | Data Science from Scratch: First Principles with Python |
| '' | 978-1-4920-4121-4 | Matt Stauffer | Laravel: Up & Running: A Framework for Building Modern PHP Apps |
| '' | 978-1-4920-4141-2 | Seth Weidman | Deep Learning from Scratch: Building with Python from First Principles |
| 2019 | 978-1-4920-4165-8 | Aileen Nielsen | Practical Time Series Analysis: Prediction with Statistics and Machine Learning |
| '' | 978-1-4920-4173-3 | Gretchen Anderson | Mastering Collaboration: Make Working Together Less Painful and More Productive |
| '' | 978-1-4920-4194-8 | David Foster | Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play |
| 2020 | 978-1-4920-4300-3 | Florian Quarre | Robotic Process Automation |
| 2019 | 978-1-4920-4322-5 | Simon Monk | Raspberry Pi Cookbook: Software and Hardware Problems and Solutions |
| 2020 | 978-1-4920-4335-5 | Ian Fenn | Designing a UX Portfolio: A Practical Guide for Designers, Researchers, Content Strategists, and Developers |
| '' | 978-1-4920-4345-4 | Mark Richards · Neal Ford | Fundamentals of Software Architecture: An Engineering Approach |
| 2019 | 978-1-4920-4378-2 | Lee Calcote · Zack Butcher | Istio: Up and Running: Using a Service Mesh to Connect, Secure, Control, and Observe |
| 2020 | 978-1-4920-4386-7 | Casey Rosenthal · Nora Jones · Nathan Aschbacher | Chaos Engineering: System Resiliency in Practice |
| '' | 978-1-4920-4407-9 | Denise Gosnell · Matthias Broecheler | The Practitioner's Guide to Graph Data |
| 2019 | 978-1-4920-4419-2 | Erin Pangilinan · Steve Lukas · Vasanth Mohan | Creating Augmented and Virtual Realities: Theory and Practice for Next-Generation Spatial Computing |
| 2020 | 978-1-4920-4446-8 | Valliappa Lakshmanan · Jordan Tigani | Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale |
| 2018 | 978-1-4920-4455-0 | Matt Neuburg | iOS 12 Programming Fundamentals with Swift: Swift, Xcode, and Cocoa Basics |
| 2018 | 978-1-4920-4463-5 | Matt Neuburg | Programming iOS 12: Dive Deep into Views, View Controllers, and Frameworks |
| 2019 | 978-1-4920-4481-9 | Mars Geldard · Jonathon Manning · Paris Buttfield-Addison · Tim Nugent | Practical Artificial Intelligence with Swift: From Fundamental Theory to Development of AI-Driven Apps |
| '' | 978-1-4920-4495-6 | Katy Warr | Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery |
| '' | 978-1-4920-4503-8 | Ben Lauwens · Allen B. Downey | Think Julia: How to Think Like a Computer Scientist |
| 2020 | 978-1-4920-4511-3 | Emmanuel Ameisen | Building Machine Learning Powered Applications: Going from Idea to Product |
| 2019 | 978-1-4920-4526-7 | Kevin Solorio · Randall Kanna · David H. Hoover | Hands-On Smart Contract Development with Solidity and Ethereum: From Fundamentals to Deployment |
| '' | 978-1-4920-4535-9 | Ian Pointer | Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications |
| 2020 | 978-1-4920-4552-6 | Jeremy Howard · Sylvain Gugger | Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD |
| '' | 978-1-4920-4569-4 | Michael Lopp | The Art of Leadership: Small Things, Done Well |
| 2019 | 978-1-4920-4577-9 | Simon David Clatworthy | The Experience-Centric Organization: How to Win Through Customer Experience |
| 2019 | 978-1-4920-4629-5 | Jean Dahl | Leading Lean: Ensuring Success and Developing a Framework for Leadership |
| '' | 978-1-4920-4644-8 | Greg Foss · Paul Modderman | Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data |
| '' | 978-1-4920-4653-0 | Brendan Burns · Joe Beda · Kelsey Hightower | Kubernetes: Up and Running: Dive into the Future of Infrastructure |
| '' | 978-1-4920-4667-7 | Ken Kousen | Kotlin Cookbook: A Problem-Focused Approach |
| '' | 978-1-4920-4677-6 | Philipp K. Janert | D3 for the Impatient: Interactive Graphics for Programmers and Scientists |
| 2019 | 978-1-4920-4690-5 | Yevgeniy Brikman | Terraform: Up & Running: Writing Infrastructure as Code |
| '' | 978-1-4920-4710-0 | Michael Hausenblas · Stefan Schimanski | Programming Kubernetes: Developing Cloud-Native Applications |
| 2020 | 978-1-4920-4718-6 | Jamiel Sheikh | Mastering Corda: Building Distributed Applications with Corda |
| 2019 | 978-1-4920-4768-1 | Mark Needham · Amy E. Hodler | Graph Algorithms: Practical Examples in Apache Spark and Neo4j |
| '' | 978-1-4920-4784-1 | Sam Newman | Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith |
| '' | 978-1-4920-4796-4 | John Belamaric · Cricket Liu | Learning CoreDNS: Configuring DNS for Cloud Native Environments |
| 2020 | 978-1-4920-4804-6 | Jason Dobies · Joshua Wood | Kubernetes Operators: Automating the Container Orchestration Platform |
| 2019 | 978-1-4920-4890-9 | Pini Reznik · Jamie Dobson · Michelle Gienow | Cloud Native Transformation: Practical Patterns for Innovation |
| '' | 978-1-4920-4939-5 | Torrey Podmajersky | Strategic Writing for UX: Drive Engagement, Conversion, and Retention with Every Word |
| 2020 | 978-1-4920-4966-1 | Francesca Lazzeri | Time Series Forecasting: An Applied Machine Learning Approach |
| 2020 | 978-1-4920-5004-9 | Jules Damji · Denny Lee · Brooke Wenig · Tathagata Das | Learning Spark |
| 2019 | 978-1-4920-5020-9 | David Calavera · Lorenzo Fontana | Linux Observability with BPF: Advanced Programming for Performance Analysis and Networking |
| '' | 978-1-4920-5090-2 | Camille Fournier | 97 Things Every Engineering Manager Should Know: Collective Wisdom from the Experts |
| '' | 978-1-4920-5100-8 | Russ Miles | Learning Chaos Engineering: Discovering and Overcoming System Weaknesses Through Experimentation |
| 2020 | 978-1-4920-5113-8 | Joseph Albahari · Eric Johannsen | C# 8.0 in a Nutshell: The Definitive Reference |
| 2019 | 978-1-4920-5121-3 | Joseph Albahari · Ben Albahari | C# 8.0 Pocket Reference: Instant Help for C# 8.0 Programmers |
| '' | 978-1-4920-5136-7 | Bill Lubanovic | Introducing Python: Modern Computing in Simple Packages |
| 2021 | 978-1-4920-5146-6 | Stoyan Stefanov | React: Up & Running: Building Web Applications |
| 2020 | 978-1-4920-5172-5 | Eve Porcello · Alex Banks | Learning React: Modern Patterns for Developing React Apps |
| '' | 978-1-4920-5187-9 | Pierre DeBois | R for Business Analysis: Unlocking Data to Improve Sales and Operational Costs |
| 2020 | 978-1-4920-5196-1 | Jenifer Tidwell · Charles Brewer · Aynne Valencia-Brooks | Designing Interfaces: Patterns for Effective Interaction Design |
| '' | 978-1-4920-5204-3 | Pete Warden · Daniel Situnayake | TinyML: Machine Learning with TensorFlow on Arduino, and Ultra-Low Power Micro-Controllers |
| '' | 978-1-4920-5220-3 | Harry Percival · Bob Gregory | Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices |
| 2019 | 978-1-4920-5287-6 | Shaun Lewis · Mike Dunn | Native Mobile Development: A Cross-Reference for iOS and Android |
| 2020 | 978-1-4920-5311-8 | Andrew Hoffman | Web Application Security: Exploitation and Countermeasures for Modern Web Applications |
| '' | 978-1-4920-5319-4 | Hannes Hapke · Catherine Nelson | Building Machine Learning Pipelines: Automating Model Life Cycles With TensorFlow |
| '' | 978-1-4920-5343-9 | Luk Arbuckle · Khaled El Emam | Building an Anonymization Pipeline: Creating Safe Data |
| 2019 | 978-1-4920-5374-3 | Dan Vanderkam | Effective TypeScript: 62 Specific Ways to Improve Your TypeScript |
| 2019 | 978-1-4920-5382-8 | Boris Scholl · Trent Swanson · Peter Jausovec | Cloud Native: Using Containers, Functions, and Data to Build Next-Generation Applications |
| '' | 978-1-4920-5439-9 | Gary O'Brien · Guo Xiao · Mike Mason | Digital Transformation Game Plan: 34 Tenets for Masterfully Merging Technology and Business |
| '' | 978-1-4920-5450-4 | Stephen Cleary | Concurrency in C# Cookbook: Asynchronous, Parallel, and Multithreaded Programming |
| '' | 978-1-4920-5462-7 | J. R. Storment · Mike Fuller | Cloud FinOps: Collaborative, Real-Time Cloud Financial Management |
| 2020 | 978-1-4920-5502-0 | Micha Gorelick · Ian Ozsvald | High Performance Python: Practical Performant Programming for Humans |
| '' | 978-1-4920-5531-0 | Jon Yablonski | Laws of UX: Design Principles for Persuasive and Ethical Products |
| 2020 | 978-1-4920-5603-4 | Stephen Wendel | Designing for Behavior Change: Applying Psychology and Behavioral Economics |
| '' | 978-1-4920-5611-9 | Scott Oaks | Java Performance: In-Depth Advice for Tuning and Programming Java 8, 11, and Beyond |
| '' | 978-1-4920-5627-0 | Marc Loy · Patrick Niemeyer · Daniel Leuck | Learning Java: An Introduction to Real-World Programming with Java |
| 2019 | 978-1-4920-5647-8 | Brendan Burns · Eddie Villalba · Dave Strebel · Lachlan Evenson | Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes |
| 2020 | 978-1-4920-5663-8 | Austin Parker · Daniel Spoonhower · Jonathan Mace · Ben Sigelman · Rebecca Isaacs | Distributed Tracing in Practice: Instrumenting, Analyzing, and Debugging Microservices |
| '' | 978-1-4920-5670-6 | Liz Rice | Container Security: Fundamental Technology Concepts that Protect Containerized Applications |
| '' | 978-1-4920-5681-2 | Ian Griffiths | Programming C# 8.0: Build Windows, Web, and Desktop Applications |
| 2019 | 978-1-4920-5737-6 | David Carmona | The AI Organization: Learn from Real Companies and Microsoft's Journey How to Redefine Your Organization with AI |
| 2020 | 978-1-4920-5761-1 | Alan Beaulieu | Learning SQL: Master SQL Fundamentals |
| 2020 | 978-1-4920-5769-7 | Noah Gift · Kennedy Behrman · Alfredo Deza · Robert Jordan · Grig Gheorghiu | Python for DevOps: Learn Ruthlessly Effective Automation |
| '' | 978-1-4920-5871-7 | Travis Lowdermilk · Monty Hammontree | The Customer-Driven Culture: A Microsoft Story: Six Proven Strategies to Hack your Culture and Develop a Learning-Focused Organization |
| '' | 978-1-4920-5931-8 | Lomit Patel | Lean AI: How Innovative Startups Use Artificial Intelligence to Grow |
| '' | 978-1-4920-6129-8 | Heidi Helfand | Dynamic Reteaming: The Art and Wisdom of Changing Teams |
| 2019 | 978-1-4920-7250-8 | Allen Downey · Chris Mayfield | Think Java: How to Think Like A Computer Scientist |
| 2020 | 978-1-4920-7258-4 | Ian F. Darwin | Java Cookbook: Problems and Solutions for Java Developers |
| '' | 978-1-4920-7294-2 | Peter Bruce · Andrew Bruce · Peter Gedeck | Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python |
| 2020 | 978-1-4920-7384-0 | Gunther Verheyen | 97 Things Every Scrum Practitioner Should Know: Collective Wisdom from the Experts |
| 2019 | 978-1-4920-7453-3 | Matt Neuburg | iOS 13 Programming Fundamentals with Swift |
| 2020 | 978-1-4920-7461-8 | '' | Programming iOS 13: Dive Deep into Views, View Controllers, and Frameworks |
| '' | 978-1-4920-7506-6 | David Pogue | macOS Catalina: The Missing Manual: The Book That Should Have Been in the Box |
| 2019 | 978-1-4920-7514-1 | '' | iPhone: The Missing Manual: The Book That Should Have Been in the Box |
| 2020 | 978-1-4920-8279-8 | Titus Winters · Tom Manshreck · Hyrum Wright | Software Engineering at Google: Lessons Learned from Programming Over Time |
| '' | 978-1-4920-8312-2 | Heather Adkins · Betsy Beyer · Paul Blankinship · Piotr Lewandowski · Ana Oprea · Adam Stubblefield | Building Secure and Reliable Systems: SRE and Security Best Practices |