Wydawca: Packt Publishing
KVM Virtualization Cookbook. Learn how to use KVM effectively in production
Konstantin Ivanov
Virtualization technologies such as KVM allow for better control over the available server resources, by deploying multiple virtual instances on the same physical host, or clusters of compute resources. With KVM it is possible to run various workloads in isolation with the hypervisor layer providing better tenant isolation and higher degree of security. This book will provide a deep dive into deploying KVM virtual machines using qemu and libvirt and will demonstrate practical examples on how to run, scale, monitor, migrate and backup such instances. You will also discover real production ready recipes on deploying KVM instances with OpenStack and how to programatically manage the life cycle of KVM virtual machines using Python. You will learn numerous tips and techniques which will help you deploy & plan the KVM infrastructure. Next, you will be introduced to the working of libvirt libraries and the iPython development environment. Finally, you will be able to tune your Linux kernel for high throughput and better performance. By the end of this book, you will gain all the knowledge needed to be an expert in working with the KVM virtualization infrastructure.
LangChain in your Pocket. LangChain Essentials: From Basic Concepts to Advanced Applications
Mehul Gupta
LangChain in your Pocket offers a detailed exploration into the LangChain framework, designed to enhance your skills in developing sophisticated language understanding models and applications. This book begins with the basics, introducing you to the fundamental concepts of LangChain through a simple Hello World example. As you progress, you'll delve into various LangChain modules, learning how to create agents, manage memory, and utilize output parsers effectively.The journey continues as you explore the RAG Framework, vector databases, and their applications in natural language processing, providing you with the tools to tackle common NLP problems efficiently. The book also addresses critical aspects of working with large language models (LLMs), such as prompt engineering, handling hallucinations, and evaluating model outputs. Advanced topics like autonomous AI agents and the integration of LangSmith and LangServe are covered, giving you a holistic view of what you can achieve with LangChain.By the end of this book, you will not only understand the technical aspects of LangChain but also how to apply these principles in real-world scenarios, making it an essential resource for anyone looking to advance their capabilities in AI and language processing.
Terry Matula, Alfred Nutile
Laravel is a prominent member of a new generation of web frameworks. It is one of the most popular PHP frameworks and is also free and an open source. Laravel 5 is a substantial upgrade with a lot of new toys, at the same time retaining the features that made Laravel wildly successful. It comes with plenty of architectural as well as design-based changes.The book is a blend of numerous recipes that will give you all the necessary tips you need to build an application. It starts with basic installation and configuration tasks and will get you up-and-running in no time. You will learn to create and customize your PHP app and tweak and re-design your existing apps for better performance. You will learn to implement practical recipes to utilize Laravel’s modular structure, the latest method injection, route caching, and interfacing techniques to create responsive modern-day PHP apps that stand on their own against other apps. Efficient testing and deploying techniques will make you more confident with your Laravel skills as you move ahead with this book.Towards the end of the book, you will understand a number of add-ons and new features essential to finalize your application to make it ready for subscriptions. You will be empowered to get your application out to the world.
Terry Matula
When creating a web application, there are many PHP frameworks from which to choose. Some are very easy to set up, and some have a much steeper learning curve. Laravel offers both paths. You can do a quick installation and have your app up-and-running in no time, or you can use Laravel's extensibility to create an advanced and fully-featured app.Laravel Application Development Cookbook provides you with working code examples for many of the common problems that web developers face. In the process, it will also allow both new and existing Laravel users to expand their knowledge of the framework.This book will walk you through all aspects of Laravel development. It begins with basic set up and installation procedures, and continues through more advanced use cases. You will also learn about all the helpful features that Laravel provides to make your development quick and easy. For more advanced needs, you will also see how to utilize Laravel's authentication features and how to create a RESTful API.In the Laravel Application Development Cookbook, you will learn everything you need to know about a great PHP framework, with working code that will get you up-and-running in no time.
Large Scale Machine Learning with Python. Click here to enter text
Bastiaan Sjardin, Alberto Boschetti, Luca Massaron
Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy. Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.
Stefan Kottwitz
LaTeX is high-quality open source typesetting software that produces professional prints and PDF files. It's a powerful and complex tool with a multitude of features, so getting started can be intimidating. However, once you become comfortable with LaTeX, its capabilities far outweigh any initial challenges, and this book will help you with just that!The LaTeX Beginner's Guide will make getting started with LaTeX easy. If you are writing mathematical, scientific, or business papers, or have a thesis to write, this is the perfect book for you. With the help of fully explained examples, this book offers a practical introduction to LaTeX with plenty of step-by-step examples that will help you achieve professional-level results in no time. You'll learn to typeset documents containing tables, figures, formulas, and common book elements such as bibliographies, glossaries, and indexes, and go on to manage complex documents and use modern PDF features. You'll also get to grips with using macros and styles to maintain a consistent document structure while saving typing work.By the end of this LaTeX book, you'll have learned how to fine-tune text and page layout, create professional-looking tables, include figures, present complex mathematical formulas, manage complex documents, and benefit from modern PDF features.
Stefan Kottwitz, Robin TUG
LaTeX is high-quality Open Source typesetting software that produces professional prints and PDF files. However, as LaTeX is a powerful and complex tool, getting started can be intimidating. There is no official support and certain aspects such as layout modifications can seem rather complicated. It may seem more straightforward to use Word or other WYSIWG programs, but once you've become acquainted, LaTeX's capabilities far outweigh any initial difficulties. This book guides you through these challenges and makes beginning with LaTeX easy. If you are writing Mathematical, Scientific, or Business papers, or have a thesis to write, then this is the perfect book for you.LaTeX Beginner's Guide offers you a practical introduction to LaTeX with plenty of step-by-step examples. Beginning with the installation and basic usage, you will learn to typeset documents containing tables, figures, formulas, and common book elements like bibliographies, glossaries, and indexes and go on to managing complex documents and using modern PDF features. It's easy to use LaTeX, when you have LaTeX Beginner's Guide to hand.This practical book will guide you through the essential steps of LaTeX, from installing LaTeX, formatting, and justification to page design. Right from the beginning, you will learn to use macros and styles to maintain a consistent document structure while saving typing work. You will learn to fine-tune text and page layout, create professional looking tables as well as include figures and write complex mathematical formulas. You will see how to generate bibliographies and indexes with ease. Finally you will learn how to manage complex documents and how to benefit from modern PDF features. Detailed information about online resources like software archives, web forums, and online compilers completes this introductory guide. It's easy to use LaTeX, when you have LaTeX Beginner's Guide to hand.
Stefan Kottwitz
Writing a thesis, research paper, technical report, or book often challenges users with formatting and consistency. The LaTeX typesetting tool offers a powerful, structured approach to document creation, though mastering it can be daunting for beginners. This third edition of the LaTeX Beginner’s Guide simplifies the learning curve, providing a hands-on introduction to writing professional-quality documents efficiently.Written by Stefan Kottwitz, a leading LaTeX expert and community moderator, this book builds on over 20 years of coding and publishing experience along with feedback from LaTeX users worldwide. Through step-by-step tutorials and real-world examples, you’ll learn how to fine-tune text, typeset complex equations, manage citations, and produce high-quality tables, images, and presentations. The book also explores modern LaTeX features, including advanced PDF capabilities and different TeX engines. With dedicated sections on slide presentations and best practices for document structuring, this edition ensures that users can optimize their workflows and produce publication-ready documents with ease.By the end of this book, you'll confidently use the LaTeX software to produce academic papers, generate bibliographies, and achieve professional layouts for any type of document.*Email sign-up and proof of purchase required
Stefan Kottwitz
The second edition of LaTeX Cookbook offers improved and additional examples especially for users in science and academia, with a focus on new packages for creating graphics with LaTeX. This edition also features an additional chapter on ChatGPT use to improve content, streamline code, and automate tasks, thereby saving time. This book is a practical guide to utilizing the capabilities of modern document classes and exploring the functionalities of the newest LaTeX packages. Starting with familiar document types like articles, books, letters, posters, leaflets, and presentations, it contains detailed tutorials for refining text design, adjusting fonts, managing images, creating tables, and optimizing PDFs. It also covers elements such as the bibliography, glossary, and index. You’ll learn to create graphics directly within LaTeX, including diagrams and plots, and explore LaTeX’s application across various fields like mathematics, physics, chemistry, and computer science. The book’s website offers online compilable code, an example gallery, and supplementary information related to the book, including the author’s LaTeX forum, where you can get personal support. By the end of this book, you’ll have the skills to optimize productivity through practical demonstrations of effective LaTeX usage in diverse scenarios.
Stefan Kottwitz
LaTeX is a high-quality typesetting software and is very popular, especially among scientists. Its programming language gives you full control over every aspect of your documents, no matter how complex they are. LaTeX's huge amount of customizable templates and supporting packages cover most aspects of writing with embedded typographic expertise.With this book you will learn to leverage the capabilities of the latest document classes and explore the functionalities of the newest packages. The book starts with examples of common document types. It provides you with samples for tuning text design, using fonts, embedding images, and creating legible tables. Common document parts such as the bibliography, glossary, and index are covered, with LaTeX's modern approach.You will learn how to create excellent graphics directly within LaTeX, including diagrams and plots quickly and easily.Finally, you will discover how to use the new engines XeTeX and LuaTeX for advanced programming and calculating with LaTeX. The example-driven approach of this book is sure to increase your productivity.
Stefan Kottwitz
In this first-of-its-kind TikZ book, you’ll embark on a journey to discover the fascinating realm of TikZ—what it’s about, the philosophy behind it, and what sets it apart from other graphics libraries. From installation procedures to the intricacies of its syntax, this comprehensive guide will help you use TikZ to create flawless graphics to captivate your audience in theses, articles, or books.You’ll learn all the details starting with drawing nodes, edges, and arrows and arranging them with perfect alignment. As you explore advanced features, you’ll gain proficiency in using colors and transparency for filling and shading, and clipping image parts. You’ll learn to define TikZ styles and work with coordinate calculations and transformations.That’s not all! You’ll work with layers, overlays, absolute positioning, and adding special decorations and take it a step further using add-on packages for drawing diagrams, charts, and plots.By the end of this TikZ book, you’ll have mastered the finer details of image creation, enabling you to achieve visually stunning graphics with great precision.
Vladimir Dementyev
Rails accelerates web development with its convention-over-configuration principle and MVC pattern. But as your app grows, that simplicity can turn into tangled complexity, making it harder to maintain and extend. The second edition of Layered Design for Ruby on Rails Applications helps tackle this challenge head on, guiding you toward a more scalable and maintainable architecture.Written by a seasoned software engineer and open source contributor to Ruby on Rails, this updated edition refines the proven techniques from the first edition and introduces timely new topics that reflect today’s development challenges. You’ll dive deeper into state machines and workflows, learning how to identify, embed, and eventually isolate them for clarity and resilience. You’ll also explore the exciting frontier of abstractions in the AI era, treating LLMs as APIs, structuring agent layers, and integrating third-party libraries to keep your AI features organized and testable.By embracing layered abstractions, you’ll not only reduce complexity but also improve your ability to adapt to change - whether adding new features, scaling systems, or weaving AI capabilities into your applications.By the end of the book, you’ll be equipped to design clean, extensible, and future-ready Rails applications.*Email sign-up and proof of purchase required
Vladimir Dementyev
The Ruby on Rails framework boosts productivity by leveraging the convention-over-configuration principle and model-view-controller (MVC) pattern, enabling developers to build features efficiently. This initial simplicity often leads to complexity, making a well-structured codebase difficult to maintain. Written by a seasoned software engineer and award-winning contributor to many other open-source projects, including Ruby on Rails and Ruby, this book will help you keep your code maintainable while working on a Rails app.You’ll get to grips with the framework’s capabilities and principles to harness the full potential of Rails, and tackle many common design problems by discovering useful patterns and abstraction layers. By implementing abstraction and dividing the application into manageable modules, you’ll be able to concentrate on specific parts of the app development without getting overwhelmed by the entire codebase. This also encourages code reuse, simplifying the process of adding new features and enhancing the application's capabilities. Additionally, you’ll explore further steps in scaling Rails codebase, such as service extractions.By the end of this book, you’ll become a code design specialist with a deep understanding of the Rails framework principles.
Mike van Drongelen, Aravind Krishnaswamy, Adam Dennis
Lean is the ultimate methodology for creating a startup that succeeds. Sounds great from a theoretical point of view, but what does that mean for you as an a technical co-founder or mobile developer? By applying the Lean Start-up methodology to your mobile App development, it will become so much easier to build apps that take Google Play or the App Store by storm. This book shows you how to bring together smarter business processes with technical know-how.It makes no sense to develop a brilliant app for six months or longer only to find out later that nobody is interested in it. Build a Minimum Viable Product (MVP) first. Validate your hypotheses early and often. Discover effective product development strategies that let you put Facebook's famous axiom move fast and break thingsinto practice. A great app without visibility and marketing clout is nothing, so use this book to market your app, making use of effective metrics that help you track and iterate all aspects of project performance.
Lean Product Management. Successful products from fuzzy business ideas
Mangalam Nandakumar
Lean Product Management is about finding the smartest way to build an Impact Driven Product that can deliver value to customers and meet business outcomes when operating under internal and external constraints. Author, Mangalam Nandakumar, is a product management expert, with over 17 years of experience in the field. Businesses today are competing to innovate. Cost is no longer the constraint, execution is. It is essential for any business to harness whatever competitive advantage they can, and it is absolutely vital to deliver the best customer experience possible. The opportunities for creating impact are there, but product managers have to improvise on their strategy every day in order to capitalize on them. This is the Agile battleground, where you need to stay Lean and be able to respond to abstract feedback from an ever shifting market. This is where Lean Product Management will help you thrive.Lean Product Management is an essential guide for product managers, and to anyone embarking on a new product development. Mangalam Nandakumar will help you to align your product strategy with business outcomes and customer impact. She introduces the concept of investing in Key Business Outcomes as part of the product strategy in order to provide an objective metric about which product idea and strategy to pursue. You will learn how to create impactful end-to-end product experiences by engaging stakeholders and reacting to external feedback.
Mischa Spiegelmock
Leap Motion is a company developing advanced motion sensing technology for human–computer interaction. Originally inspired by the level of difficulty of using a mouse and keyboard for 3D modeling, Leap Motion believe that moulding virtual clay should be as easy as moulding clay in your hands. Leap Motion now focus on bringing this motion sensing technology closer to the real world.Leap Motion Development Essentials explains the concepts and practical applications of gesture input for developers who want to take full advantage of Leap Motion technology. This guide explores the capabilities available to developers and gives you a clear overview of topics related to gesture input along with usable code samples.Leap Motion Development Essentials shows you everything you need to know about the Leap Motion SDK, from creating a working program with gesture input to more sophisticated applications covering a range of relevant topics. Sample code is provided and explained along with details of the most important and central API concepts.This book teaches you the essential information you need to design a gesture-enabled interface for your application, from specific gesture detection to best practices for this new input. You will be given guidance on practical considerations along with copious runnable demonstrations of API usage which are explained in step-by-step, reusable recipes.
Sebastien Donadio, Sourav Ghosh
It’s now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate.You’ll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You’ll explore the key components of an algorithmic trading business and aspects you’ll need to take into account before starting an automated trading project. Next, you’ll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you’ll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you’ll create a trading bot from scratch using the algorithms built in the previous sections.By the end of this book, you’ll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets.
Julien Simon
Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker.You’ll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you’ll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You’ll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you’ll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy.By the end of this Amazon book, you’ll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.
Julien Simon
Amazon SageMaker enables you to quickly build, train, and deploy machine learning models at scale without managing any infrastructure. It helps you focus on the machine learning problem at hand and deploy high-quality models by eliminating the heavy lifting typically involved in each step of the ML process. This second edition will help data scientists and ML developers to explore new features such as SageMaker Data Wrangler, Pipelines, Clarify, Feature Store, and much more.You'll start by learning how to use various capabilities of SageMaker as a single toolset to solve ML challenges and progress to cover features such as AutoML, built-in algorithms and frameworks, and writing your own code and algorithms to build ML models. The book will then show you how to integrate Amazon SageMaker with popular deep learning libraries, such as TensorFlow and PyTorch, to extend the capabilities of existing models. You'll also see how automating your workflows can help you get to production faster with minimum effort and at a lower cost. Finally, you'll explore SageMaker Debugger and SageMaker Model Monitor to detect quality issues in training and production.By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.
Learn Ansible. Automate cloud, security, and network infrastructure using Ansible 2.x
Russ McKendrick
Ansible has grown from a small, open source orchestration tool to a full-blown orchestration and configuration management tool owned by Red Hat. Its powerful core modules cover a wide range of infrastructures, including on-premises systems and public clouds, operating systems, devices, and services—meaning it can be used to manage pretty much your entire end-to-end environment. Trends and surveys say that Ansible is the first choice of tool among system administrators as it is so easy to use.This end-to-end, practical guide will take you on a learning curve from beginner to pro. You'll start by installing and configuring the Ansible to perform various automation tasks. Then, we'll dive deep into the various facets of infrastructure, such as cloud, compute and network infrastructure along with security.By the end of this book, you'll have an end-to-end understanding of Ansible and how you can apply it to your own environments.
Russ McKendrick
Are you tired of manually deploying and managing your infrastructure and looking for ways to streamline your deployments, introduce consistency and collaboration, and save time? If so, then Learn Ansible is for you. Written by a DevOps practitioner and system administrator with 30+ years of experience, this book will teach you how to automate repetitive tasks and effortlessly manage several resources from a single code base.From installing Ansible and writing your first playbook to deploying multi-tier applications across different cloud platforms, this book will take you on an exciting learning journey. By learning the art of defining highly available cloud infrastructure using code, you’ll find it easy to distribute configurations alongside your application. You’ll explore Ansible Galaxy, learn about community-contributed Ansible roles, and discover how to create and share your own roles. Later, the book delves into the capabilities of Ansible AWX and integrating Ansible with your CI/CD pipelines, using Azure DevOps and GitHub Actions. With real-world examples and hands-on tutorials, you’ll build a solid foundation to tackle any automation project.By the end of this book, you'll be able to confidently implement Ansible in your environment and day-to-day workflows, taking your deployments to the next level.
Learn Apache Mesos. A beginner's guide to scalable cluster management and deployment
Manuj Aggarwal
Apache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. This book will help you build a strong foundation of Mesos' capabilities along with practical examples to support the concepts explained throughout the book.Learn Apache Mesos dives straight into how Mesos works. You will be introduced to the distributed system and its challenges and then learn how you can use Mesos and its framework to solve data problems. You will also gain a full understanding of Mesos' internal mechanisms and get equipped to use Mesos and develop applications. Furthermore, this book lets you explore all the steps required to create highly available clusters and build your own Mesos frameworks. You will also cover application deployment and monitoring.By the end of this book, you will have learned how to use Mesos to make full use of machines and how to simplify data center maintenance.