Mastering Apex Programming. A developer’s guide to learning advanced techniques and best practices for building robust Salesforce applications

Paul Battisson, Mike Wheeler

As applications built on the Salesforce platform are now a key part of many organizations, developers are shifting focus to Apex, Salesforce’s proprietary programming language. As a Salesforce developer, it is important to understand the range of tools at your disposal, how and when to use them, and best practices for working with Apex. Mastering Apex Programming will help you explore the advanced features of Apex programming and guide you in delivering robust solutions that scale.This book starts by taking you through common Apex mistakes, debugging, exception handling, and testing. You'll then discover different asynchronous Apex programming options and develop custom Apex REST web services. The book shows you how to define and utilize Batch Apex, Queueable Apex, and Scheduled Apex using common scenarios before teaching you how to define, publish, and consume platform events and RESTful endpoints with Apex. Finally, you'll learn how to profile and improve the performance of your Apex application, including architecture trade-offs.With code examples used to facilitate discussion throughout, by the end of the book, you'll have developed the skills needed to build robust and scalable applications in Apex.

Microsoft Exchange 2010 PowerShell Cookbook. This brilliant Cookbook is packed with step-by-step instructions on writing scripts for Exchange 2010. You’ll be able to use the recipes straightaway and take your Microsoft Exchange management capabilities to another level

Mike Pfeiffer, MIKE PFEIFFER

Learning C++ by Creating Games with UE4. Learn C++ programming with a fun, real-world application that allows you to create your own games!

William Sherif

Layered Design for Ruby on Rails Applications. Discover practical design patterns for maintainable web applications

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.

Learn Ethereum. A practical guide to help developers set up and run decentralized applications with Ethereum 2.0 - Second Edition

Xun (Brian) Wu, Zhihong Zou, Dongying Song

Ethereum is a blockchain-based, decentralized computing platform that allows you to run smart contracts. With this book, you’ll discover the latest Ethereum tools, frameworks, wallets, and layer 2, along with setting up and running decentralized applications for the complete, end-to-end development experience.Learn Ethereum, 2nd Edition is a comprehensive overview of the Ethereum ecosystem, exploring its concepts, mechanisms, and decentralized application development process. You’ll delve into Ethereum's internals, technologies, and tools, including Ethereum 2.0 and the Ethereum Virtual Machine (EVM), gas, and its account systems. You’ll also explore Ethereum's transition to proof of stake, L1/L2 scaling solutions, DeFi protocols, and the current marketplace. Additionally, you’ll learn about EVM-compatible blockchains, connectivity techniques, and advanced topics such as sharding, off-chain scaling, DAOs, Metaverse, and NFTs.By the end of this book, you’ll be well-equipped to write smart contracts and develop, test, and deploy DApps using various tools, wallets, and frameworks.

Django 5 By Example. Build powerful and reliable Python web applications from scratch - Fifth Edition

Antonio Melé, Paolo Melchiorre

If you want to learn Django by doing, this book is for you.This 2025 EDITION, fully updated to Django 5.2 LTS, is the fifth edition of the best-selling Django By Example franchise that helps you build real-world web apps. This book will walk you through planning and creation, solving common problems, and implementing best practices using a step-by-step approach.You’ll cover a wide range of web application development topics through four different projects: a blog application, a social website, an e-commerce application, and an e-learning platform. Pick up what’s new in Django 5 as you build end-to-end Python web apps, follow detailed project plans, and understand the hows and whys of Django.This is a practical and approachable book that will have you creating web apps quickly.

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt

Somanath Nanda, Weslley Moura

The AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS.Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them.By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.

Learn T-SQL Querying. A guide to developing efficient and elegant T-SQL code

Pedro Lopes, Pam Lahoud

Transact-SQL (T-SQL) is Microsoft's proprietary extension to the SQL language used with Microsoft SQL Server and Azure SQL Database. This book will be a usefu to learning the art of writing efficient T-SQL code in modern SQL Server versions as well as the Azure SQL Database.The book will get you started with query processing fundamentals to help you write powerful, performant T-SQL queries. You will then focus on query execution plans and leverage them for troubleshooting. In later chapters, you will explain how to identify various T-SQL patterns and anti-patterns. This will help you analyze execution plans to gain insights into current performance, and determine whether or not a query is scalable. You will also build diagnostic queries using dynamic management views (DMVs) and dynamic management functions (DMFs) to address various challenges in T-SQL execution. Next, you will work with the built-in tools of SQL Server to shorten the time taken to address query performance and scalability issues. In the concluding chapters, this will guide you through implementing various features, such as Extended Events, Query Store, and Query Tuning Assistant, using hands-on examples.By the end of the book, you will have developed the skills to determine query performance bottlenecks, avoid pitfalls, and discover the anti-patterns in use.