The Conversion Code, 2nd EditionIn this revision, The Conversion Code: A Step-by-Step Guide to Marketing and Sales that Will Grow Your Business Faster, 2nd Edition, digital marketing and lead conversion expert Chris Smith delivers the ultimate exploration of the marketing and advertising tactics that are successfully generating higher quality leads that are easier for salespeople to convert. Smith researches and tests the latest and most popular platforms, including TikTok, YouTube and Instagram, while also studying the most effective sales techniques, tools, and scripts.
In this book, you'll learn to: Increase your lead conversion rate, reduce your cost per lead and improve your overall ROI from marketing and sales; Generate an endless supply of high-quality leads from social media that are easy to convert into closed sales; Stop chasing leads and start attracting clients with amazing marketing and clever ads; Adapt to the consumer privacy changes that have made targeting ads and getting leads to answer the phone ...
C++ Core Guidelines ExplainedThe official C++ Core Guidelines provide consistent best practices for writing outstanding modern C++ code and improving legacy code, but they're organized as a reference for looking up one specific point at a time, not as a tutorial for working developers. In C++ Core Guidelines Explained, expert C++ instructor Rainer Grimm has distilled them to their essence, removing esoterica, sharing new insights and context, and presenting well-tested examples from his own training courses.
Grimm helps experienced C++ programmers use the Core Guidelines with any recent version of the language, from C++11 onward. Most of his code examples are written for C++17, with added coverage of newer versions and C++20 wherever appropriate, and references to the official C++ Core Guidelines online.
Whether you're creating new software or improving legacy code, Grimm will help you get more value from the Core Guidelines' most useful rules, as you write code that's safer, clearer, more efficient, and eas ...
Learn Enough JavaScript to Be DangerousJavaScript plays a key role in modern software development, not only because it is the only language that runs inside virtually all web browsers, but also because it has become widely used for back-end and general-purpose development as well. Although JavaScript is a big language, you don't need to learn "everything" about it to get started, just how to use it efficiently to solve real problems. In Learn Enough JavaScript to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive.
Even if you've never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Treating JavaScript as a general-purpose language right from the start, Hartl offers examples for creating dynamic effects in browsers and for writing scripts and modules using Node.js. Focused exercises help you internalize what matters, without wasting time on details pros don't care a ...
Asynchronous Programming SuccinctlyUnresponsive or sluggish applications can give the impression of a broken or low-quality app. Using asynchronous programming methods, apps can be made to function well even when performing other tasks. In Asynchronous Programming Succinctly, Dirk Strauss shows readers how to use Microsoft Visual Studio to create apps that function well even when performing tasks. ...
Algorithms for Decision MakingA broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.
Automated decision-making systems or decision-support systems - used in applications that range from aircraft collision avoidance to breast cancer screening - must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.
The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act t ...
Introduction to Scientific Programming with PythonThis open book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming.
The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies. ...
Game Development with Unity for .NET DevelopersUnderstand what makes Unity the world's most widely used real-time 3D development platform and explore its powerful features for creating 3D and 2D games, as well as the Unity game engine and the Microsoft Game Dev, including the Microsoft Azure Cloud and Microsoft Azure PlayFab services, to create games.
You will start by getting acquainted with the Unity editor and the basic concepts of Unity script programming with C#. You'll then learn how to use C# code to work with Unity's built-in modules, such as UI, animation, physics, video, and audio, and understand how to develop a game with Unity and C#. As you progress through the chapters, you'll cover advanced topics such as the math involved in computer graphics and how to create a custom render pipeline in Unity with the new Scriptable Render Pipeline, all while optimizing performance in Unity. Along the way, you'll be introduced to Microsoft Game Dev, Azure services, and Azure PlayFab, and using the Unity3D PlayFab SDK to access t ...
Distributed .NET with Microsoft OrleansBuilding distributed applications in this modern era can be a tedious task as customers expect high availability, high performance, and improved resilience. With the help of this book, you'll discover how you can harness the power of Microsoft Orleans to build impressive distributed applications.
Distributed .NET with Microsoft Orleans will demonstrate how to leverage Orleans to build highly scalable distributed applications step by step in the least possible time and with minimum effort. You'll explore some of the key concepts of Microsoft Orleans, including the Orleans programming model, runtime, virtual actors, hosting, and deployment. As you advance, you'll become well-versed with important Orleans assets such as grains, silos, timers, and persistence. Throughout the book, you'll create a distributed application by adding key components to the application as you progress through each chapter and explore them in detail.
By the end of this book, you'll have developed the confid ...
Practical Deep Learning at Scale with MLflowThe book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas.
From there onward, it guides you step by step in understanding the concept of MLflow experiments and usage patterns, using MLflow as a unified framework to track DL data, code and pipelines, models, parameters, and metrics at scale. You'll also tackle running DL pipelines in a distributed execution environment with reproducibility and provenance tracking, and tuning DL models through hyperparameter optimization (HPO) with Ray Tune, Optuna, and HyperBand. As you progress, you'll learn how to build a multi-step DL inference pipeline with preprocessing and postprocessing steps, deploy a DL inference pipeline for production using Ray Serve and AWS SageMaker, and finally create a DL explanation as a service (EaaS) using the popu ...
Solidity Programming Essentials, 2nd EditionSolidity is a high-level language for writing smart contracts, and the syntax has large similarities with JavaScript, thereby making it easier for developers to learn, design, compile, and deploy smart contracts on large blockchain ecosystems including Ethereum and Polygon among others. This book guides you in understanding Solidity programming from scratch.
The book starts with step-by-step instructions for the installation of multiple tools and private blockchain, along with foundational concepts such as variables, data types, and programming constructs. You'll then explore contracts based on an object-oriented paradigm, including the usage of constructors, interfaces, libraries, and abstract contracts. The following chapters help you get to grips with testing and debugging smart contracts. As you advance, you'll learn about advanced concepts like assembly programming, advanced interfaces, usage of recovery, and error handling using try-catch blocks. You'll also explore multiple d ...