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LLM Engineer's Handbook
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LLM Engineer's Handbook
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Oct 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (17)
eBook 522 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (17)
Master the art of engineering large language models from concept to production
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  • 9781836200062 eBook €8.99
  • 9781836200079 Paperback €54.99
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LLM Engineer's Handbook
Master the art of engineering large language models from concept to production
Description
Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.
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Oct 2024 522 pages
AI Assistant AI Assistant
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Author Paul Iusztin
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Machine Learning with PyTorch and Scikit-Learn
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Machine Learning with PyTorch and Scikit-Learn
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Feb 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (95)
eBook 774 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (95)
Develop machine learning and deep learning models with Python
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  • 9781801816380 eBook €8.99
  • 9781801819312 Paperback €41.99
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Machine Learning with PyTorch and Scikit-Learn
Develop machine learning and deep learning models with Python
Description
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.
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Feb 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
774 pages
AI Assistant AI Assistant
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Author Sebastian Raschka
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Coding Roblox Games Made Easy, Second Edition
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Coding Roblox Games Made Easy, Second Edition
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Jun 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (30)
eBook 302 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (30)
Create, Publish, and Monetize your games on Roblox
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  • 9781803247571 eBook €8.99
  • 9781803234670 Paperback €22.99
€8.99 €17.99
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Coding Roblox Games Made Easy, Second Edition
Create, Publish, and Monetize your games on Roblox
Description
“I read/worked through the book with my kids to build a game together and I highly recommend pre-teens, teens, and tweens to pick this up as their first book to coding games” -James W. Y III, Technology Integration Specialist at Old Bridge Township Public Schools “...a must-read, must-practice essential book for anyone getting started with building games on Roblox using Luau programming...” -Frederic Markus, President, Feerik Games (Ex-Ubisoft, Nintendo, Rockstar, Disney, LucasArts, and Epic Games) “..includes everything from Roblox Studio menus, the basics of the Luau scripting language, how to tie in real-world (or any world!) physics into your experience of marketing your game as well as some great ideas for where to go next.” -Jay Sebastian, Computer Scientist and Adjunct Lecturer in AI for Games and Simulation Roblox isn't just popular; it's incredibly popular, featuring more than 54 million active players per day. Any experience imaginable can be created on Roblox. Coding Roblox Games Made Easy, 2nd Edition, is a go-to guide for anyone at any age looking to get started with building a game on Roblox using Luau programming. In just about 300 pages, you’ll learn the basics of Luau programming, build two end-to-end games, add customizations to finally publish and monetize them. The bonus chapter ‘50 Cool Things to do in Roblox’ is a perfect end to your learning journey with information nuggets presented with examples to save your time when coding, animating, building avatars, using Robux and so much more. Join Zander, 19-year-old Roblox developer and programmer on this game-development journey and bring your ideas to life
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Jun 2022 302 pages
AI Assistant AI Assistant
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Author Zander Brumbaugh
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Python for Algorithmic Trading Cookbook
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Aug 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (15)
eBook 404 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (15)
Recipes for designing, building, and deploying algorithmic trading strategies with Python
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  • 9781835087763 eBook €8.99
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Python for Algorithmic Trading Cookbook
Recipes for designing, building, and deploying algorithmic trading strategies with Python
Description
Discover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading. Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You’ll optimize strategy parameters with walk-forward optimization using VectorBT and construct a production-ready backtest using Zipline Reloaded. Implementing all that you’ve learned, you’ll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details. By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.
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Aug 2024 404 pages
AI Assistant AI Assistant
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Author Jason Strimpel
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JavaScript from Beginner to Professional
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JavaScript from Beginner to Professional
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Dec 2021
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (58)
eBook 546 pages
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Learn JavaScript quickly by building fun, interactive, and dynamic web apps, games, and pages
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  • 9781800566774 eBook €8.99
  • 9781800562523 Paperback €29.99
€8.99 €23.99
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JavaScript from Beginner to Professional
Learn JavaScript quickly by building fun, interactive, and dynamic web apps, games, and pages
Description
This book demonstrates the capabilities of JavaScript for web application development by combining theoretical learning with code exercises and fun projects that you can challenge yourself with. The guiding principle of the book is to show how straightforward JavaScript techniques can be used to make web apps ranging from dynamic websites to simple browser-based games. JavaScript from Beginner to Professional focuses on key programming concepts and Document Object Model manipulations that are used to solve common problems in professional web applications. These include data validation, manipulating the appearance of web pages, working with asynchronous and concurrent code. The book uses project-based learning to provide context for the theoretical components in a series of code examples that can be used as modules of an application, such as input validators, games, and simple animations. This will be supplemented with a brief crash course on HTML and CSS to illustrate how JavaScript components fit into a complete web application. As you learn the concepts, you can try them in your own editor or browser console to get a solid understanding of how they work and what they do. By the end of this JavaScript book, you will feel confident writing core JavaScript code and be equipped to progress to more advanced libraries, frameworks, and environments such as React, Angular, and Node.js.
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Dec 2021
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
546 pages
AI Assistant AI Assistant
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Authors
Author Percival
Author Laurence Svekis
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Machine Learning for Algorithmic Trading
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Machine Learning for Algorithmic Trading
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Jul 2020
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (44)
eBook 820 pages
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (44)
Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
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  • 9781839216787 eBook €8.99
  • 9781839217715 Paperback €43.99
€8.99 €34.99
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Machine Learning for Algorithmic Trading
Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Description
The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance.
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Jul 2020 820 pages
AI Assistant AI Assistant
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Authors
Author Stefan Jansen
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Solutions Architect's Handbook
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Solutions Architect's Handbook
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Mar 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (54)
eBook 578 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (54)
Kick-start your career with architecture design principles, strategies, and generative AI techniques
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  • 9781835084366 eBook €8.99
  • 9781835084236 Paperback €44.99
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Solutions Architect's Handbook
Kick-start your career with architecture design principles, strategies, and generative AI techniques
Description
Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.
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Mar 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
578 pages
AI Assistant AI Assistant
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Author Saurabh Shrivastava
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Mastering Microsoft Power BI – Second Edition
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Mastering Microsoft Power BI – Second Edition
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Jun 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (56)
eBook 712 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (56)
Expert techniques to create interactive insights for effective data analytics and business intelligence
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  • 9781801818193 eBook €8.99
  • 9781801811484 Paperback €37.99
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Mastering Microsoft Power BI – Second Edition
Expert techniques to create interactive insights for effective data analytics and business intelligence
Description
Mastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI.
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Jun 2022
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
712 pages
AI Assistant AI Assistant
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Author Greg Deckler
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RAG-Driven Generative AI
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RAG-Driven Generative AI
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Sep 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (13)
eBook 334 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (13)
Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
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  • 9781836200901 eBook €8.99
  • 9781836200918 Paperback €40.99
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RAG-Driven Generative AI
Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
Description
RAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs. This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves output accuracy and contextual relevance, offering a dynamic approach to managing large volumes of information. This AI book shows you how to build a RAG framework, providing practical knowledge on vector stores, chunking, indexing, and ranking. You’ll discover techniques to optimize your project’s performance and better understand your data, including using adaptive RAG and human feedback to refine retrieval accuracy, balancing RAG with fine-tuning, implementing dynamic RAG to enhance real-time decision-making, and visualizing complex data with knowledge graphs. You’ll be exposed to a hands-on blend of frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI. By the end of this book, you will have acquired the skills to implement intelligent solutions, keeping you competitive in fields from production to customer service across any project.
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Sep 2024 334 pages
AI Assistant AI Assistant
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Author Denis Rothman
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50 Algorithms Every Programmer Should Know
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50 Algorithms Every Programmer Should Know
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Sep 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (67)
eBook 538 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (67)
Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
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  • 9781803246475 eBook €8.99
  • 9781803247762 Paperback €37.99
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50 Algorithms Every Programmer Should Know
Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
Description
The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works. You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them. Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use. You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
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Sep 2023
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
538 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author Imran Ahmad
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C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals
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C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals
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Nov 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (73)
eBook 828 pages
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Start building websites and services with ASP.NET Core 8, Blazor, and EF Core 8
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  • 9781837631988 eBook €8.99
  • 9781837635870 Paperback €44.99
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C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals
Start building websites and services with ASP.NET Core 8, Blazor, and EF Core 8
Description
This latest edition of the bestselling Packt series will give you a solid foundation to start building projects using modern C# and .NET with confidence. You'll learn about object-oriented programming; writing, testing, and debugging functions; and implementing interfaces. You'll take on .NET APIs for managing and querying data, working with the fi lesystem, and serialization. As you progress, you'll explore examples of cross-platform projects you can build and deploy, such as websites and services using ASP.NET Core. This latest edition integrates .NET 8 enhancements into its examples: type aliasing and primary constructors for concise and expressive code. You'll handle errors robustly through the new built-in guard clauses and explore a simplified implementation of caching in ASP.NET Core 8. If that's not enough, you'll also see how native ahead-of-time (AOT) compiler publish lets web services reduce memory use and run faster. You'll work with the seamless new HTTP editor in Visual Studio 2022 to enhance the testing and debugging process. You'll even get introduced to Blazor Full Stack with its new unified hosting model for unparalleled web development flexibility.
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Nov 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
828 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author Mark J. Price
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The Ultimate Kali Linux Book
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The Ultimate Kali Linux Book
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Apr 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (27)
eBook 828 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (27)
Harness Nmap, Metasploit, Aircrack-ng, and Empire for cutting-edge pentesting
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  • 9781835083680 eBook €8.99
  • 9781835085806 Paperback €41.99
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The Ultimate Kali Linux Book
Harness Nmap, Metasploit, Aircrack-ng, and Empire for cutting-edge pentesting
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Embark on an exciting journey into the world of Kali Linux – the central hub for advanced penetration testing. Honing your pentesting skills and exploiting vulnerabilities or conducting advanced penetration tests on wired and wireless enterprise networks, Kali Linux empowers cybersecurity professionals. In its latest third edition, this book goes further to guide you on how to setup your labs and explains breaches using enterprise networks. This book is designed for newcomers and those curious about penetration testing, this guide is your fast track to learning pentesting with Kali Linux 2024.x. Think of this book as your stepping stone into real-world situations that guides you through lab setups and core penetration testing concepts. As you progress in the book you’ll explore the toolkit of vulnerability assessment tools in Kali Linux, where gathering information takes the spotlight. You'll learn how to find target systems, uncover device security issues, exploit network weaknesses, control operations, and even test web applications. The journey ends with understanding complex web application testing techniques, along with industry best practices. As you finish this captivating exploration of the Kali Linux book, you'll be ready to tackle advanced enterprise network testing – with newfound skills and confidence.
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Apr 2024 828 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Glen D. Singh
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Microsoft 365 and SharePoint Online Cookbook
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Microsoft 365 and SharePoint Online Cookbook
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Feb 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (22)
eBook 640 pages
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (22)
A complete guide to Microsoft Office 365 apps including SharePoint, Power Platform, Copilot and more
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  • 9781803247373 eBook €8.99
  • 9781803243177 Paperback €29.99
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Microsoft 365 and SharePoint Online Cookbook
A complete guide to Microsoft Office 365 apps including SharePoint, Power Platform, Copilot and more
Description
Microsoft 365 offers tools for content management, communication, process automation, and report creation. Microsoft 365 and SharePoint Online Cookbook maximizes workplace collaboration and productivity using SharePoint Online, Teams, OneDrive, Delve, M365 Search, Copilot, Power Platform, Viva, Planner, and Microsoft Forms. You will find thoroughly updated recipes for SharePoint Online, covering sites, lists, libraries, pages, web parts, and learn SharePoint Framework (SPFx) basics for building solutions. You will explore many Microsoft Teams recipes to prepare it to be your organization’s central collaboration hub. You will be able to unlock Power Platform potential with recipes for Power Apps to enable low-code/no-code app development and learn to automate tasks with Power Automate and Power Automate Desktop. The book teaches you data visualization with Power BI, and chatbot creation with Power Virtual Agents (Copilot Studio). Finally, you will also learn about the cutting-edge Copilot and Gen AI functionality in Microsoft 365 and Power Platform. By the end, you will be equipped with skills to effectively use Microsoft 365, SharePoint Online, and the Power Platform. Whether it's enhancing career prospects or improving business operations, this book is a perfect companion on your journey through the Microsoft Office 365 suite.
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Feb 2024 640 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Mahajan
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