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Author: Aditya Pratap Bhuyan
Publisher: Aditya Pratap Bhuyan
ISBN:
Category : Computers
Languages : en
Pages : 328
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Book Description
Welcome to "Data Structures with Go: A Comprehensive Guide," your gateway to mastering data structures using the Go programming language. In today’s fast-paced software development world, a solid grasp of data structures is essential for creating efficient, scalable, and high-performance applications. This book provides a thorough exploration of data structures through Go, a language known for its simplicity, performance, and robust concurrency support. Why This Book? Data structures are fundamental to computer science and software engineering. They determine how data is organized, stored, and manipulated, significantly impacting the performance and efficiency of algorithms. With Go’s growing popularity for its clean syntax and effective concurrency model, it is an excellent choice for learning and implementing data structures. This book leverages Go’s features to offer practical insights into data structures, making it a valuable resource for developers of all skill levels. What You Will Learn Fundamentals of Data Structures: The book starts with an introduction to data structures, highlighting their importance and role in software development. You’ll explore basic data types in Go and their applications in various data structures. Arrays and Slices: Delve into arrays and slices, foundational structures in Go. Learn how to declare, initialize, and manipulate them, and understand their performance implications and practical uses. Linked Lists: Explore singly and doubly linked lists, including their structures, operations, and Go implementations. Understand how linked lists compare to arrays and slices and their advantages and limitations. Stacks and Queues: Study these essential linear data structures. Learn about stack (LIFO) and queue (FIFO) operations and their implementations in Go. The chapter also covers variants like deques and priority queues. Trees: Understand hierarchical data structures such as binary trees, binary search trees (BST), AVL trees, and Red-Black trees. Learn about tree operations, traversal techniques, and their Go implementations. Graphs: Learn about graph representations, including adjacency matrices and adjacency lists, and explore directed and undirected graphs. This chapter also covers common algorithms like Depth-First Search (DFS) and Breadth-First Search (BFS). Hashing: Discover hashing techniques, hash tables, and collision handling strategies. Implement hash tables in Go and understand their practical applications. Advanced Data Structures: Dive into specialized data structures such as heaps, tries, suffix trees, and Bloom filters. Learn about their implementations and use cases. Algorithms and Data Structures in Practice: Apply data structures to real-world problems. This chapter focuses on sorting and searching algorithms, optimization techniques, and performance profiling in Go. Real-World Applications: Explore how data structures are used in practical projects. Study case studies, best practices, and design patterns for implementing data structures in Go-based systems. Who Should Read This Book? This book caters to: Beginners: Those new to Go or data structures will find a clear, structured introduction. Intermediate Developers: Readers with some experience can deepen their knowledge and tackle advanced topics. Experienced Professionals: Those looking to explore Go or stay updated with modern practices will find valuable insights and practical examples. Learning Approach Emphasizing hands-on learning, the book includes practical examples, exercises, and real-world case studies to reinforce understanding and encourage experimentation. By working through these exercises, you will gain practical experience and a deeper grasp of data structures in Go. "Data Structures with Go: A Comprehensive Guide" is your key to mastering essential computer science principles and applying them effectively in modern applications. Dive in and discover how Go can enhance your skills in building robust, efficient, and scalable systems. Aditya
Author: Aditya Pratap Bhuyan
Publisher: Aditya Pratap Bhuyan
ISBN:
Category : Computers
Languages : en
Pages : 328
Get Book Here
Book Description
Welcome to "Data Structures with Go: A Comprehensive Guide," your gateway to mastering data structures using the Go programming language. In today’s fast-paced software development world, a solid grasp of data structures is essential for creating efficient, scalable, and high-performance applications. This book provides a thorough exploration of data structures through Go, a language known for its simplicity, performance, and robust concurrency support. Why This Book? Data structures are fundamental to computer science and software engineering. They determine how data is organized, stored, and manipulated, significantly impacting the performance and efficiency of algorithms. With Go’s growing popularity for its clean syntax and effective concurrency model, it is an excellent choice for learning and implementing data structures. This book leverages Go’s features to offer practical insights into data structures, making it a valuable resource for developers of all skill levels. What You Will Learn Fundamentals of Data Structures: The book starts with an introduction to data structures, highlighting their importance and role in software development. You’ll explore basic data types in Go and their applications in various data structures. Arrays and Slices: Delve into arrays and slices, foundational structures in Go. Learn how to declare, initialize, and manipulate them, and understand their performance implications and practical uses. Linked Lists: Explore singly and doubly linked lists, including their structures, operations, and Go implementations. Understand how linked lists compare to arrays and slices and their advantages and limitations. Stacks and Queues: Study these essential linear data structures. Learn about stack (LIFO) and queue (FIFO) operations and their implementations in Go. The chapter also covers variants like deques and priority queues. Trees: Understand hierarchical data structures such as binary trees, binary search trees (BST), AVL trees, and Red-Black trees. Learn about tree operations, traversal techniques, and their Go implementations. Graphs: Learn about graph representations, including adjacency matrices and adjacency lists, and explore directed and undirected graphs. This chapter also covers common algorithms like Depth-First Search (DFS) and Breadth-First Search (BFS). Hashing: Discover hashing techniques, hash tables, and collision handling strategies. Implement hash tables in Go and understand their practical applications. Advanced Data Structures: Dive into specialized data structures such as heaps, tries, suffix trees, and Bloom filters. Learn about their implementations and use cases. Algorithms and Data Structures in Practice: Apply data structures to real-world problems. This chapter focuses on sorting and searching algorithms, optimization techniques, and performance profiling in Go. Real-World Applications: Explore how data structures are used in practical projects. Study case studies, best practices, and design patterns for implementing data structures in Go-based systems. Who Should Read This Book? This book caters to: Beginners: Those new to Go or data structures will find a clear, structured introduction. Intermediate Developers: Readers with some experience can deepen their knowledge and tackle advanced topics. Experienced Professionals: Those looking to explore Go or stay updated with modern practices will find valuable insights and practical examples. Learning Approach Emphasizing hands-on learning, the book includes practical examples, exercises, and real-world case studies to reinforce understanding and encourage experimentation. By working through these exercises, you will gain practical experience and a deeper grasp of data structures in Go. "Data Structures with Go: A Comprehensive Guide" is your key to mastering essential computer science principles and applying them effectively in modern applications. Dive in and discover how Go can enhance your skills in building robust, efficient, and scalable systems. Aditya
Author: Diego Rodrigues
Publisher: Diego Rodrigues
ISBN:
Category : Computers
Languages : en
Pages : 210
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Book Description
Welcome to "LEARN GO: Concurrent Programming and Practical Applications - 2024 Edition", the definitive guide to transforming your programming skills. Written by Diego Rodrigues, an author with over 180 published titles in six languages, this book offers an essential and deep journey to mastering the Go language and its applications in developing modern and highly scalable systems. Whether you're a beginner or an experienced professional, this comprehensive manual explores Go, a language designed by Google that has become the choice of major companies to tackle the challenges of scalability and efficiency in distributed systems. From setting up your development environment to fully understanding the syntax, you'll be guided through a practical and structured learning process focused on building fast, secure, and future-proof applications. You will learn to master advanced techniques such as using goroutines for lightweight concurrency, synchronization control with channels and mutex, and creating modern architectures with microservices and RESTful APIs. The book also dives into code optimization for cloud platforms like AWS, Microsoft Azure, and Google Cloud, allowing you to make the most of these technology giants' infrastructure. Additionally, you will delve into best practices for file manipulation, flow control, arrays, slices, and unit testing, ensuring that your code is not only efficient but also reliable and scalable. Practical exercises at the end of each chapter challenge you to solve real-world problems, applying the knowledge gained to create innovative, high-performance solutions designed for the era of cloud computing and distributed systems. This is the ultimate resource for anyone looking to take their programming skills to the next level. If you're ready to stand out in a highly competitive market, "LEARN GO: Concurrent Programming and Practical Applications" is your guide. Master one of the most powerful and relevant programming languages on the market and be prepared to shape the future of technology with solutions that transform the current landscape. TAGS: Go Golang concurrent programming parallelism goroutines channels distributed systems microservices scalability software development web development RESTful APIs JSON lightweight concurrency mutex synchronization cloud computing AWS Microsoft Azure Google Cloud IBM Cloud Docker Kubernetes CI/CD automation continuous deployment unit testing Go Modules modern systems HTTP servers websockets real-time cloud infrastructure Google Amazon Web Services Azure Docker Kubernetes IBM Cloud Red Hat VMware Splunk Cisco Palo Alto Networks Fortinet SAP Oracle Salesforce ElasticSearch HashiCorp NetApp OpenStack Cloudflare DigitalOcean HPE Lenovo Dell data analysis big data DevOps agile development cloud security containers process automation flow control parallel systems databricks Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog Python RPG Ruby SQL Swift UML VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests K-Means Clustering Support Vector Machines Gradient Boosting Neural Networks LSTMs CNNs GANs GO Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable
Author: Gilad James, PhD
Publisher: Gilad James Mystery School
ISBN: 8942098088
Category : Science
Languages : en
Pages : 81
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Book Description
OpenAI is a non-profit organization which aims to advance artificial intelligence (AI) in a way that benefits humanity as a whole. It was founded in 2015 by a group of prominent figures in the tech industry, including Elon Musk and Sam Altman. OpenAI has a collaborative approach, partnering with industry leaders to develop AI in a safe and ethical manner. The organization is focused on developing AI technologies that can be used to tackle global issues such as climate change, poverty, and disease. One of the main goals of OpenAI is to create cutting-edge AI that can be used to solve real-world problems. This is achieved through a combination of research and development, industry partnerships, and open-source tools and frameworks that can be used by developers and researchers around the world. OpenAI is also focused on ensuring that AI technology is developed in a responsible and ethical manner. This includes creating safety mechanisms to prevent AI systems from causing harm, as well as ensuring that AI is designed to benefit society as a whole and not just a small subset of individuals. Ultimately, OpenAI's vision is to create a future where AI is used to solve humanity's biggest challenges, improve the quality of life for all people, and create a more equitable and sustainable world.
Author: Alex Rios
Publisher: Packt Publishing Ltd
ISBN: 1801813442
Category : Computers
Languages : en
Pages : 408
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Book Description
Go beyond web development to learn system programming, building secure, concurrent, and efficient applications with Go's unique system programming capabilities Key Features Get a deep understanding of how Go simplifies system-level memory management and concurrency Gain expert guidance on essential topics like file operations, process management, and network programming Learn cross-platform system programming and how to build applications that interact directly with the OS Book DescriptionAlex Rios, a seasoned Go developer and active community builder, shares his 15 years of expertise in designing large-scale systems through this book. It masterfully cuts through complexity, enabling you to build efficient and secure applications with Go's streamlined syntax and powerful concurrency features. In this book, you’ll learn how Go, unlike traditional system programming languages (C/C++), lets you focus on the problem by prioritizing readability and elevating developer experience with features like automatic garbage collection and built-in concurrency primitives, which remove the burden of low-level memory management and intricate synchronization. Through hands-on projects, you'll master core concepts like file I/O, process management, and inter-process communication to automate tasks and interact with your system efficiently. You'll delve into network programming in Go, equipping yourself with the skills to build robust, distributed applications. This book goes beyond the basics by exploring modern practices like logging and tracing for comprehensive application monitoring, and advance to distributed system design using Go to prepare you to tackle complex architectures. By the end of this book, you'll emerge as a confident Go system programmer, ready to craft high-performance, secure applications for the modern world.What you will learn Understand the fundamentals of system programming using Go Grasp the concepts of goroutines, channels, data races, and managing concurrency in Go Manage file operations and inter-process communication (IPC) Handle USB drives and Bluetooth devices and monitor peripheral events for hardware automation Familiarize yourself with the basics of network programming and its application in Go Implement logging, tracing, and other telemetry practices Construct distributed cache and approach distributed systems using Go Who this book is for This book is for software engineers looking to expand their understanding of system programming concepts. Professionals with a coding foundation seeking profound knowledge of system-level operations will also greatly benefit. Additionally, individuals interested in advancing their system programming skills, whether experienced developers or those transitioning to the field, will find this book indispensable.
Author: Jonathan M. Smith
Publisher: Rowman & Littlefield
ISBN: 1538121018
Category : Language Arts & Disciplines
Languages : en
Pages : 219
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Book Description
This comprehensive primer introduces information technology topics foundational to many services offered in today’s libraries and information centers. Written by a librarian, it clearly explains concepts familiar to the I.T. professional with an eye toward practical applications in libraries for the aspiring technologist. Chapters begin with a basic introduction to a major topic then go into enough technical detail of relevant technologies to be useful to the student preparing for library technology and systems work or the professional needing to converse effectively with technology experts. Many chapters also present current issues or trends for the subject matter being discussed. The twelve chapters cover major topics such as technology support, computer hardware, networking, server administration, information security, web development, software and systems development, emerging technology, library management technologies, and technology planning. Each chapter also includes a set of pedagogical features for use with instruction including: Chapter summary List of key terms End of chapter question set Suggested activities Bibliography for further reading List of web resources Those who will find this book useful include library & information science students, librarians new to systems or information technology responsibilities, and library managers desiring a primer on information technology.
Author: Mehdi Khosrow-Pour
Publisher: IGI Global Snippet
ISBN: 9781605660264
Category : Computers
Languages : en
Pages : 4292
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Book Description
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.
Author: Wallace Jackson
Publisher: Apress
ISBN: 1484218639
Category : Computers
Languages : en
Pages : 158
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Book Description
This compact syntax reference covers syntax and parameters central to JSON object definitions. You’ll learn the syntax used in the JSON object definition language, logically organized by topical chapters, and getting more advanced as chapters progress, covering structures and file formats which are best for use with HTML5. Furthermore, the JSON Quick Syntax Reference includes the key factors regarding the data footprint optimization work process, the in-lining of CSS and JS files, and why a data footprint optimization work process is important. What You'll Learn • Use the object definition syntax supported in JSON• Define a JSON content production workflow• Gain an understanding of the concepts and principles behind JSON object definitions• Use JSON code snippets and apply them in your web applications• Utilize the NetBeans, Android Studio, and Eclipse IDEs for your JSON coding Who This Book Is For Web developers, Android application developers, and user interface designers.
Author: Tristan Cazenave
Publisher: Springer
ISBN: 331957969X
Category : Computers
Languages : en
Pages : 188
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Book Description
This book constitutes the refereed proceedings of the 5th Computer Games Workshop, CGW 2016, and the 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016, held in conjunction with the 25th International Conference on Artificial Intelligence, IJCAI 2016, in New York, USA, in July 2016.The 12 revised full papers presented were carefully reviewed and selected from 25 submissions. The papers address all aspects of artificial intelligence and computer game playing. They discuss topics such as Monte-Carlo methods; heuristic search; board games; card games; video games; perfect and imperfect information games; puzzles and single player games; multi-player games; combinatorial game theory; applications; computational creativity; computational game theory; evaluation and analysis; game design; knowledge representation; machine learning; multi-agent systems; opponent modeling; planning.
Author: Meg Ray
Publisher: Odd Dot
ISBN: 1250794781
Category : Juvenile Nonfiction
Languages : en
Pages : 322
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Book Description
Make it! Code it! Break it! Mod it! Meg Ray's CODE THIS GAME! is a nonfiction visual guide, illustrated by Keith Zoo, that teaches young readers, 10-14, how to program and create their very own video game. Each chapter introduces key coding concepts as kids build an action strategy game in Python, an open-source programming language. The book features an innovative stand-up format that allows kids to read, program, and play their game simultaneously. With easy-to-follow step-by-step instructions, CODE THIS GAME! teaches kids to build a strategy action game called “Attack of the Vampire Pizzas!” The book also teaches how to modify the game and follow one's imagination by incorporating downloadable art assets. By the time kids finish the book, they'll have mastered basic coding concepts and created a personalized game.
Author: Ayush Somani
Publisher: Springer Nature
ISBN: 3031206398
Category : Computers
Languages : en
Pages : 483
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Book Description
This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures. In addition, it includes several case studies from application-oriented articles in the fields of computer vision, optics and machine learning related topic. The book can be used as a monograph on interpretability in deep learning covering the most recent topics as well as a textbook for graduate students. Scientists with research, development and application responsibilities benefit from its systematic exposition.
