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Titre : Learn Odoo : a beginner's guide to designing, configuring, and customizing business applications with Odoo Type de document : texte imprimé Auteurs : Moss Greg, Auteur Editeur : Birmingham : Packt Publishing Année de publication : 2009 Importance : 184 pages Présentation : illustrations Format : 23cm ISBN/ISSN/EAN : 978-1-7895-3689-8 Langues : Anglais (eng) Catégories : 658.403 Management -- Data processing. Mots-clés : Learn Odoo Index. décimale : 658.403 8011 Résumé : Odoo is management software that contains a set of open source enterprise management applications that help you modernize your business. Completely revised and updated, this comprehensive Odoo guide is a fourth edition of Working with Odoo. This book begins with an introduction to Odoo and helps you set up Odoo Online in your system. You'll learn how to start a new company database in Odoo and the basics of Odoo sales management. You will explore customer relationship management in Odoo and its importance in a modern business environment. Moving on, you'll learn how to install the purchasing application, set up suppliers, and begin purchasing and receiving products in Odoo. Next, you'll learn how to use the MRP module to create, process, and schedule the manufacturing and production order. Once you get to grips with the basic applications, you'll uncover how to customize Odoo to meet the specific needs of your business. You'll learn some advanced techniques for searching and finding information, and you'll be taken through business intelligence in Odoo. Towards the end of the book, you'll go in-depth into Odoo's architecture and learn to use Odoo's API to integrate with other applications. By the end of the book, you'll be ready to use Odoo to build enterprise applications and set up the functional requirements for your business Learn Odoo [texte imprimé] : a beginner's guide to designing, configuring, and customizing business applications with Odoo / Moss Greg, Auteur . - Birmingham : Packt Publishing, 2009 . - 184 pages : illustrations ; 23cm.
ISBN : 978-1-7895-3689-8
Langues : Anglais (eng)
Catégories : 658.403 Management -- Data processing. Mots-clés : Learn Odoo Index. décimale : 658.403 8011 Résumé : Odoo is management software that contains a set of open source enterprise management applications that help you modernize your business. Completely revised and updated, this comprehensive Odoo guide is a fourth edition of Working with Odoo. This book begins with an introduction to Odoo and helps you set up Odoo Online in your system. You'll learn how to start a new company database in Odoo and the basics of Odoo sales management. You will explore customer relationship management in Odoo and its importance in a modern business environment. Moving on, you'll learn how to install the purchasing application, set up suppliers, and begin purchasing and receiving products in Odoo. Next, you'll learn how to use the MRP module to create, process, and schedule the manufacturing and production order. Once you get to grips with the basic applications, you'll uncover how to customize Odoo to meet the specific needs of your business. You'll learn some advanced techniques for searching and finding information, and you'll be taken through business intelligence in Odoo. Towards the end of the book, you'll go in-depth into Odoo's architecture and learn to use Odoo's API to integrate with other applications. By the end of the book, you'll be ready to use Odoo to build enterprise applications and set up the functional requirements for your business Exemplaires
Code-barres Cote Support Localisation Section Disponibilité 125006 658.403 8011 GRE Livre Library Repository Exclu du prêt
Titre : Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : Concepts, tools, and techniques to build intelligent systems Type de document : texte imprimé Auteurs : Géron Aurélien, Auteur Mention d'édition : Third Edition Editeur : O'Reilly Media, Inc. Année de publication : 2023 Importance : xxv 834 Pages Présentation : illustrations, (Some Color) Format : 18cmx32cm ISBN/ISSN/EAN : 978-1-09-812597-4 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : 000 Généralités:006.31 Machine Learning Mots-clés : Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow Index. décimale : 006.31 Résumé : Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow 2-to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental machine learning tasks, such as simple linear regression. Part 2, which has been significantly updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine learning methods using deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. NEW FOR THE SECOND EDITION:Updated all code to TensorFlow 2 ; Introduced the high-level Keras API ; New and expanded coverage including TensorFlow's Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more With Early Release ebooks, you get books in their earliest form-the author's raw and unedited content as he or she writes-so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow [texte imprimé] : Concepts, tools, and techniques to build intelligent systems / Géron Aurélien, Auteur . - Third Edition . - [S.l.] : O'Reilly Media, Inc., 2023 . - xxv 834 Pages : illustrations, (Some Color) ; 18cmx32cm.
ISBN : 978-1-09-812597-4
Langues : Anglais (eng) Langues originales : Anglais (eng)
Catégories : 000 Généralités:006.31 Machine Learning Mots-clés : Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow Index. décimale : 006.31 Résumé : Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. The updated edition of this best-selling book uses concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow 2-to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Practitioners will learn a range of techniques that they can quickly put to use on the job. Part 1 employs Scikit-Learn to introduce fundamental machine learning tasks, such as simple linear regression. Part 2, which has been significantly updated, employs Keras and TensorFlow 2 to guide the reader through more advanced machine learning methods using deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. NEW FOR THE SECOND EDITION:Updated all code to TensorFlow 2 ; Introduced the high-level Keras API ; New and expanded coverage including TensorFlow's Data API, Eager Execution, Estimators API, deploying on Google Cloud ML, handling time series, embeddings and more With Early Release ebooks, you get books in their earliest form-the author's raw and unedited content as he or she writes-so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters are available, and the final ebook bundle is released Exemplaires
Code-barres Cote Support Localisation Section Disponibilité 125969 006.31 AUR Livre Library Repository Exclu du prêt
Titre : Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python Type de document : texte imprimé Auteurs : Sebastian Raschka, Auteur; Yuxi Liu, Auteur; Vahid Mirjalili, Auteur Editeur : Birmingham : Packt Publishing Année de publication : 2022 Importance : xxix, 741 pages Présentation : illustrations, graphs, charts Format : 26 cm ISBN/ISSN/EAN : 978-1-8018-1931-2 Langues : Anglais (eng) Catégories : 005 Computer programming, programs, data Mots-clés : Machine learning with PyTorch and Scikit-Learn Index. décimale : 005.133 Résumé : Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. Machine learning with PyTorch and Scikit-Learn [texte imprimé] : develop machine learning and deep learning models with Python / Sebastian Raschka, Auteur; Yuxi Liu, Auteur; Vahid Mirjalili, Auteur . - Birmingham : Packt Publishing, 2022 . - xxix, 741 pages : illustrations, graphs, charts ; 26 cm.
ISBN : 978-1-8018-1931-2
Langues : Anglais (eng)
Catégories : 005 Computer programming, programs, data Mots-clés : Machine learning with PyTorch and Scikit-Learn Index. décimale : 005.133 Résumé : Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. Exemplaires
Code-barres Cote Support Localisation Section Disponibilité 125056 005.133 RAS Livre Library Repository Exclu du prêt 125013 005.133 RAS Livre Library Repository Exclu du prêt
Titre : Odoo 15 Development Essentials - Fifth Edition : Enhance Your Odoo Development Skills to Create Powerful Business Applications Type de document : texte imprimé Auteurs : Reis Daniel, Auteur Mention d'édition : 5th ed Editeur : Packt Publishing, Limited, Birmingham Année de publication : 2022 Importance : 524 pages Présentation : illustrations Format : 23cm ISBN/ISSN/EAN : 978-1-8002-0006-7 Langues : Anglais (eng) Catégories : 005.1 Security Engineering Mots-clés : Odoo 15 Development Essentials - Fifth Edition Index. décimale : 005.1 Résumé : Odoo is fast becoming the reference open source platform for business applications thanks to the fact that it provides the infrastructure needed for developers to deliver software solutions for any business process quickly. Odoo's layered module approach makes it particularly effective for combining and extending features. This updated fifth edition is a tutorial-style introduction to essential Odoo development topics. The book starts by covering the development essentials for building business applications and takes you through Odoo installation and configuration, gradually transitioning from having no specific knowledge of Odoo to being ready for application development. You'll then learn how to develop your first Odoo application, while covering topics such as models and views. Later chapters will get you up to speed with using server APIs to add business logic, helping you lay a solid foundation for advanced topics. As you progress, you'll get equipped to build and customize your applications and explore the new features available in Odoo 12 and beyond, such as in-memory ORM and computed writable fields. Finally, you'll gain insights into building business logic and using the Odoo API to integrate with various applications Odoo 15 Development Essentials - Fifth Edition [texte imprimé] : Enhance Your Odoo Development Skills to Create Powerful Business Applications / Reis Daniel, Auteur . - 5th ed . - [S.l.] : Packt Publishing, Limited, Birmingham, 2022 . - 524 pages : illustrations ; 23cm.
ISBN : 978-1-8002-0006-7
Langues : Anglais (eng)
Catégories : 005.1 Security Engineering Mots-clés : Odoo 15 Development Essentials - Fifth Edition Index. décimale : 005.1 Résumé : Odoo is fast becoming the reference open source platform for business applications thanks to the fact that it provides the infrastructure needed for developers to deliver software solutions for any business process quickly. Odoo's layered module approach makes it particularly effective for combining and extending features. This updated fifth edition is a tutorial-style introduction to essential Odoo development topics. The book starts by covering the development essentials for building business applications and takes you through Odoo installation and configuration, gradually transitioning from having no specific knowledge of Odoo to being ready for application development. You'll then learn how to develop your first Odoo application, while covering topics such as models and views. Later chapters will get you up to speed with using server APIs to add business logic, helping you lay a solid foundation for advanced topics. As you progress, you'll get equipped to build and customize your applications and explore the new features available in Odoo 12 and beyond, such as in-memory ORM and computed writable fields. Finally, you'll gain insights into building business logic and using the Odoo API to integrate with various applications Exemplaires
Code-barres Cote Support Localisation Section Disponibilité 125944 005.1 DAN Livre Library Repository Exclu du prêt
