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.

NumPy Essentials. Click here to enter text

Jaidev Deshpande, Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway

In today’s world of science and technology, it’s all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need.This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.

VSTO 3.0 for Office 2007 Programming. Get to grips with Programming Office 2007 using Visual Studio Tools for Office

Vivek Thangaswamy

With the arrival of Visual Studio Tools for Office 3.0 (VSTO), developers can now program Microsoft Office from the .NET framework. There are huge books in the market that give loads of unnecessary information but are of no real help to brand-new Office developers. Wouldn't it be great to have a precise book that simply covers the basics and introduces programming Office 2007 with VSTO using the latest version of Visual Studio? This is that book.VSTO 3.0 for Office 2007 Programming shows you how to write Office 2007 applications with Visual Studio Tools for Office 3.0. Learn how to automate tasks in InfoPath, Word, Excel, Outlook, PowerPoint, Visio, and Project 2007 with greater programming power and flexibility than was available from the VBA language. With this book and the mastery of VSTO you will learn, Office will no longer be an application to you; it will be a platform for developing custom applications.VSTO 3 is the most recent version of VSTO, making use of Visual Studio 2008, and working with Office 2007. This book shows how VSTO puts Office automation into the hands of developers, allowing them to use the power of the .NET framework to automate Office applications thus increasing the speed of the applications, their security, and the opportunity to use other parts of the .NET Framework such as its data handling capabilities.This book builds a solid programming foundation in VSTO for brand-new Office developers. You will leave behind the world of VBA programming and take your first steps into the powerful and exciting world of using C# to create Office 2007 applications. Packed with examples and covering all the main Office applications, this book will have you creating fully featured Office extensions before you know it.

Learning JavaScript Robotics. Design, build, and program your own remarkable robots with JavaScript and open source hardware

Kassandra Perch

AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition

Somanath Nanda, Weslley Moura

The AWS Certified Machine Learning Specialty (MLS-C01) exam evaluates your ability to execute machine learning tasks on AWS infrastructure. This comprehensive book aligns with the latest exam syllabus, offering practical examples to support your real-world machine learning projects on AWS. Additionally, you'll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices—PCs, tablets, and smartphones.Throughout the book, you’ll learn data preparation techniques for machine learning, covering diverse methods for data manipulation and transformation across different variable types. Addressing challenges such as missing data and outliers, the book guides you through an array of machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, accompanied by requisite machine learning algorithms essential for exam success. The book helps you master the deployment of models in production environments and their subsequent monitoring.Equipped with insights from this book and the accompanying mock exams, you'll be fully prepared to achieve the AWS MLS-C01 certification.

Cybersecurity Architect's Handbook. An end-to-end guide to implementing and maintaining robust security architecture

Lester Nichols

Stepping into the role of a Cybersecurity Architect (CSA) is no mean feat; it requires both upskilling and a fundamental shift in how you view cybersecurity. Written by a seasoned cybersecurity expert with over two decades of experience spanning the public and private sectors, this all-encompassing guide outlines an accessible a path for cybersecurity engineers and newcomers to evolve into architects, sharing best practices to enhance your skills.After a brief introduction to the role and foundational concepts, this book will help you understand the day-to-day challenges faced by CSAs, supported by practical examples. You'll gain insights into assessing and improving your organization’s security posture, including system, hardware, and software security. You'll also learn how to set user and system policies and protocols through effective monitoring and enforcement, and understanding countermeasures that protect the system from unauthorized access attempts.To prepare you for the road ahead and augment your existing skills, the book provides invaluable tips and practices that will contribute to your success as a CSA. By the end of this book, you’ll be well-equipped to take up the CSA role and execute robust security solutions.

Raspberry Pi Sensors. Integrate sensors into your Raspberry Pi projects and let your powerful microcomputer interact with the physical world

Rushi Gajjar, Gajjar R Pareshkumar

The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems

Alessandro Palmas, Emanuele Ghelfi, Dr. Alexandra Galina Petre, Mayur Kulkarni, ...

Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models.Starting with an introduction to RL, youÔÇÖll be guided through different RL environments and frameworks. YouÔÇÖll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once youÔÇÖve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, youÔÇÖll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, youÔÇÖll find out when to use a policy-based method to tackle an RL problem.By the end of The Reinforcement Learning Workshop, youÔÇÖll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning.