Catapult your C# journey with this guide to crafting standout resumes, mastering advanced concepts, and navigating job offers with real-world insights for unparalleled success in programming and interviews
Key Features
Acquire a strong foundation in syntax, data types, and object-oriented programming to code confidently
Develop strategies for addressing behavioral questions, tackle technical challenges, and showcase your coding skills
Augment your C# programming skills with valuable insights from industry experts
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
If you're gearing up for technical interviews by enhancing your programming skills and aiming for a successful career in C# programming and software development, the C# Interview Guide is your key to interview success.
Designed to equip you with essential skills for excelling in technical interviews, this guide spans a broad spectrum, covering fundamental C# programming concepts to intricate technical details. As you progress, you'll develop proficiency in crafting compelling resumes, adeptly answering behavioral questions, and navigating the complexities of salary negotiations and job evaluations. What sets this book apart is its coverage, extending beyond technical know-how and incorporating real-world experiences and expert insights from industry professionals. This comprehensive approach, coupled with guidance on overcoming challenges, ranging from interview preparation to post-interview strategies, makes this guide an invaluable resource for those aspiring to advance in their C# programming careers.
By the end of this guide, you’ll emerge with a solid understanding of C# programming, advanced technical interview skills, and the ability to apply industry best practices.
What you will learn
Craft compelling resumes and cover letters for impactful job applications
Demonstrate proficiency in fundamental C# programming concepts and syntax
Master advanced C# topics, including LINQ, asynchronous programming, and design patterns
Implement best practices for writing clean, maintainable C# code
Use popular C# development tools and frameworks, such as .NET and .NET Core
Negotiate salary, evaluate job offers, and build a strong C# portfolio
Apply soft skills for successful interactions in C# development roles
Who this book is for
This book is for individuals aspiring to pursue a career in C# programming or software development. Whether you are a beginner or experienced professional, this guide will enhance your technical interview skills and C# programming knowledge.
Table of Contents
Crafting a Compelling Résumé and Cover Letter, Online Presence, and Interview Preparation
Acing the Interview – Mastering Behavioral Questions and Interview Techniques
Fundamentals of C# Programming
Advanced C# Concepts
Fundamentals Governing Maintainable and Efficient C# Programming
Deep Dive into C# Libraries and Frameworks
Overcoming Challenges in C# Technical Interviews and Tips for Tackling Coding Challenges during Interviews
Building Soft Skills and Expanding Your Network
Negotiating Your Salary and Evaluating Job Offers
Gaining Expert Insights, Following Up Effectively, and Taking Action
Launching Your C# Career - Insights
Catapult your C# journey with this guide to crafting standout resumes, mastering advanced concepts, and navigating job offers with real-world insights for unparalleled success in…
Gain an in-depth understanding of MVVM and .NET MAUI and learn how to effectively apply the MVVM design pattern with the help of this practical guide
Key Features
Get to grips with the principles and benefits of the Model-View-ViewModel design pattern
Gain insights into .NET MAUI's MVVM-enabling components and effectively apply them with hands-on examples
Learn data binding, navigation, and testable code techniques to create dynamic, accessible, and localized apps
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
In today's fast-paced world of modern software development, teams need to be efficient, productive, and capable of rapidly adapting to changes to deliver high-quality products, making it crucial for developers to write maintainable and easy-to-test code.
Gain an in-depth understanding of MVVM and .NET MAUI and learn how to effectively apply the MVVM design pattern with the help of this practical guide
GPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of utilizing this tool for your specific needs and showcases successful businesses that have been established through its use.
The book is divided into two sections, with the first focusing on the fundamentals of the OpenAI API. The second part examines the dynamic and thriving environment that has arisen around GPT-3.
Chapter 1 sets the stage with background information and defining key terms. Chapter 2 goes in-depth into the API, breaking it down into its essential components, explaining their functions and offering best practices. Chapter 3, you will build your first app with GPT-3.
Chapter 4 features interviews with the founders of successful GPT-3-based products, who share challenges and insights gained. Chapter 5 examines the perspective of enterprises on GPT-3 and its potential for adoption. The problematic consequences of widespread GPT-3 adoption, such as misapplication and bias, are addressed along with efforts to resolve these issues in Chapter 6. Finally, Chapter 7 delves into the future by exploring the most exciting trends and possibilities as GPT-3 becomes increasingly integrated into the commercial ecosystem.
GPT-3 has made creating AI apps simpler than ever. This book provides a comprehensive guide on how to utilize the OpenAI API with ease. It explores imaginative methods of…
While Go is a multi-paradigm language that gives you the option to choose whichever paradigm works best for the particular problem you aim to solve, it supports features that enable you to apply functional principles in your code. In this book, you'll learn about concepts central to the functional programming paradigm and how and when to apply functional programming techniques in Go.
Starting with the basic concepts of functional programming, this Golang book will help you develop a deeper understanding of first-class functions. In the subsequent chapters, you'll gain a more comprehensive view of the techniques and methods used in functional languages, such as function currying, partial application, and higher-order functions. You'll then be able to apply functional design patterns for solving common programming challenges and explore how to apply concurrency mechanisms to functional programming.
By the end of this book, you'll be ready to improve your code bases by applying functional programming techniques in Go to write cleaner, safer, and bug-free code.
While Go is a multi-paradigm language that gives you the option to choose whichever paradigm works best for the particular problem you aim to solve, it supports features that…
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.
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…
Ransomware attacks have become the strongest and most persistent threat for many companies around the globe. Building an effective incident response plan to prevent a ransomware attack is crucial and may help you avoid heavy losses. Incident Response Techniques for Ransomware Attacks is designed to help you do just that.
This book starts by discussing the history of ransomware, showing you how the threat landscape has changed over the years, while also covering the process of incident response in detail. You’ll then learn how to collect and produce ransomware-related cyber threat intelligence and look at threat actor tactics, techniques, and procedures. Next, the book focuses on various forensic artifacts in order to reconstruct each stage of a human-operated ransomware attack life cycle. In the concluding chapters, you’ll get to grips with various kill chains and discover a new one: the Unified Ransomware Kill Chain.
By the end of this ransomware book, you’ll be equipped with the skills you need to build an incident response strategy for all ransomware attacks.
Ransomware attacks have become the strongest and most persistent threat for many companies around the globe. Building an effective incident response plan to prevent a ransomware…
Gain a deep understanding of building, maintaining, packaging, and shipping robust Python applications
Key Features:
- Discover the new features of Python, such as dictionary merge, the zoneinfo module, and structural pattern matching
- Create manageable code to run in various environments with different sets of dependencies
- Implement effective Python data structures and algorithms to write, test, and optimize code
Book Description:
This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. Throughout this book, you'll get acquainted with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency.
The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live, including packaging and testing automation.
By the end of this book, you will have gained actionable Python programming insights that will help you effectively solve challenging problems.
What you will learn:
- Explore modern ways of setting up repeatable and consistent Python development environments
- Effectively package Python code for community and production use
- Learn modern syntax elements of Python programming, such as f-strings, enums, and lambda functions
- Demystify metaprogramming in Python with metaclasses
- Write concurrent code in Python
- Extend and integrate Python with code written in C and C++
Who this book is for:
The Python programming book is intended for expert programmers who want to learn Python's advanced-level concepts and latest features.
Anyone who has basic Python skills should be able to follow the content of the book, although it might require some additional effort from less experienced programmers. It should also be a good introduction to Python 3.9 for those who are still a bit behind and continue to use other older versions.
Gain a deep understanding of building, maintaining, packaging, and shipping robust Python applications
Key Features:
- Discover the new features of Python, such as dictionary…
Рассмотрены задачи, встречающиеся в повседневной работе любого разработчика в среде Java. Приведено более 300 приложений, содержащих свыше 1000 примеров. Продемонстрированы эффективные практические приемы и технические решения с учетом сложности кода, производительности, удобочитаемости и многого другого.
Рассмотрены строки, числа, объекты, массивы, коллекции и структуры данных, работа с датой и временем. Приведены задачи на логический вывод типов, а также файловый ввод/вывод. Представлены задачи, связанные с API рефлексии Java. Особое внимание уделено программированию в функциональном стиле, задачам с привлечением конкурентности, правилам работы с классом Optional, а также API HTTP-клиента и API протокола WebSocket.
Рассмотрены задачи, встречающиеся в повседневной работе любого разработчика в среде Java. Приведено более 300 приложений, содержащих свыше 1000 примеров. Продемонстрированы…
The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers.
The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face.
The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification.
By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets.
The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for…
Learn Unity game development with C# through a series of practical projects ranging from building a simple 2D game to adding AR/VR experiences and machine learning capabilities in a simple yet effective way
Key Features:Gain a high-level overview of the Unity game engine while building your own games portfolioDiscover best practices for implementing game animation, game physics, shaders, and effectsCreate fully featured apps, including Space shooter and a 2D adventure game, and develop AR/VR experiences and Game AI agents
Book Description:The Unity game engine, used by millions of developers around the world, is popular thanks to its features that enable you to create games and 3D apps for desktop and mobile platforms in no time. With Unity 2020, this state-of-the-art game engine introduces enhancements in Unity tooling, editor, and workflow, among many other additions.
The third edition of this Unity book is updated to the new features in Unity 2020 and modern game development practices. Once you've quickly got to grips with the fundamentals of Unity game development, you'll create a collection, a twin-stick shooter, and a 2D adventure game. You'll then explore advanced topics such as machine learning, virtual reality, and augmented reality by building complete projects using the latest game tool kit. As you implement concepts in practice, this book will ensure that you come away with a clear understanding of Unity game development.
By the end of the book, you'll have a firm foundation in Unity development using C#, which can be applied to other engines and programming languages. You'll also be able to create several real-world projects to add to your professional game development portfolio.
What You Will Learn:Learn the fundamentals of game development, including GameObjects, components, and scenesDevelop a variety of games in C# and explore the brand new sprite shaping tool for Unity 3D and 2D gamesHandle player controls and input functionality for your Unity gamesImplement AI techniques such as pathfinding, finite state machines, and machine learning using Unity ML-AgentsCreate virtual and augmented reality games using UnityVR and AR FoundationExplore the cutting-edge features of Unity 2020 and how they can be used to improve your games
Who this book is for:If you are a game developer or programmer new to Unity and want to get up and running with the game engine in a hands-on way, this book is for you. Unity developers looking to work on practical projects to explore new features in Unity 2020 will find this book useful. A basic understanding of C# programming is required.
Learn Unity game development with C# through a series of practical projects ranging from building a simple 2D game to adding AR/VR experiences and machine learning capabilities in…
Now in its third edition, this is the original book on OpenCV's Python bindings. Readers will learn a great range of techniques and algorithms, from the classics to the state-of-theart, and from geometry to machine learning. All of this is in aid of solving practical computer vision problems in well-built applications. Using OpenCV 4 and Python 3, we adopt an approach that is accessible to computer vision novices, yet also informative for experts who want to expand and update their skills.
Now in its third edition, this is the original book on OpenCV's Python bindings. Readers will learn a great range of techniques and algorithms, from the classics to the…
Get a head start in the world of AI and deep learning by developing your skills with PyTorch
Key Features
Learn how to define your own network architecture in deep learning
Implement helpful methods to create and train a model using PyTorch syntax
Discover how intelligent applications using features like image recognition and speech recognition really process your data
Book Description
Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you're starting from scratch.
It's no surprise that deep learning's popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you'll use PyTorch to understand the complexity of neural network architectures.
The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You'll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you'll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.
By the end of this book, you'll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.
What you will learn
Explore the different applications of deep learning
Understand the PyTorch approach to building neural networks
Create and train your very own perceptron using PyTorch
Solve regression problems using artificial neural networks (ANNs)
Handle computer vision problems with convolutional neural networks (CNNs)
Perform language translation tasks using recurrent neural networks (RNNs)
Who this book is for
This deep learning book is ideal for anyone who wants to create and train deep learning models using PyTorch. A solid understanding of the Python programming language and its packages will help you grasp the topics covered in the book more quickly.
Get a head start in the world of AI and deep learning by developing your skills with PyTorch
Key Features
Learn how to define your own network architecture in deep learning…
