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Python Network Programming Cookbook -
Discover practical solutions for a wide range of real-world network programming tasksAbout This Book• Solve real-world tasks in the area of network programming, system/networking administration, network monitoring, and more. • Familiarize yourself with the fundamentals and functionalities of SDN• Improve your skills to become the next-gen network engineer by learning the various facets of Python programmingWho This Book Is ForThis book is for network engineers, system/network administrators, network programmers, and even web application developers who want to solve everyday network-related problems.If you are a novice, you will develop an understanding of the concepts as you progress with this book. What You Will Learn• Develop TCP/IP networking client/server applications• Administer local machines' IPv4/IPv6 network interfaces• Write multi-purpose efficient web clients for HTTP and HTTPS protocols• Perform remote system administration tasks over Telnet and SSH connections• Interact with popular websites via web services such as XML-RPC, SOAP, and REST APIs• Monitor and analyze major common network security vulnerabilities• Develop Software-Defined Networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Controllers• Emulate simple and complex networks with Mininet and its extensions for network and systems emulations• Learn to configure and build network systems and Virtual Network Functions (VNF) in heterogeneous deployment environments• Explore various Python modules to program the InternetIn DetailPython Network Programming Cookbook - Second Edition highlights the major aspects of network programming in Python, starting from writing simple networking clients to developing and deploying complex Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) systems.It creates the building blocks for many practical web and networking applications that rely on various networking protocols.It presents the power and beauty of Python to solve numerous real-world tasks in the area of network programming, network and system administration, network monitoring, and web-application development. In this edition, you will also be introduced to network modelling to build your own cloud network.You will learn about the concepts and fundamentals of SDN and then extend your network with Mininet.Next, you'll find recipes on Authentication, Authorization, and Accounting (AAA) and open and proprietary SDN approaches and frameworks.You will also learn to configure the Linux Foundation networking ecosystem and deploy and automate your networks with Python in the cloud and the Internet scale. By the end of this book, you will be able to analyze your network security vulnerabilities using advanced network packet capture and analysis techniques. Style and approachThis book follows a practical approach and covers major aspects of network programming in Python.It provides hands-on recipes combined with short and concise explanations on code snippets.This book will serve as a supplementary material to develop hands-on skills in any academic course on network programming.This book further elaborates network softwarization, including Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and orchestration.We learn to configure and deploy enterprise network platforms, develop applications on top of them with Python.
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Programming Scala : Scalability = Functional Programming + Objects
Get up to speed on Scala--the JVM, JavaScript, and natively compiled language that offers all the benefits of functional programming, a modern object model, and an advanced type system.Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away.You'll learn why Scala is ideal for building today's highly scalable, data-centric applications, while maximizing developer productivity. While Java remains popular and Kotlin has become popular, Scala hasn't been sitting still.This third edition covers the new features in Scala 3.0 with updates throughout the book.Programming Scala is ideal for beginning to advanced developers who want a complete understanding of Scala's design philosophy and features with a thoroughly practical focus. Program faster with Scala's succinct and flexible syntaxDive into basic and advanced functional programming techniquesBuild killer big data and distributed apps using Scala's functional combinators and tools like Spark and AkkaCreate concise solutions to challenging design problems with the sophisticated type system, mixin composition with traits, pattern matching, and more
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Learning Processing : A Beginner's Guide to Programming Images, Animation, and Interaction
Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages.Requiring no previous experience, this book is for the true programming beginner.It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization.Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques.The book has been developed with a supportive learning experience at its core.From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. This book is ideal for graphic designers and visual artists without programming background who want to learn programming.It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study.
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Programming Challenges : The Programming Contest Training Manual
There are many distinct pleasures associated with computer programming.Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work.Excitement arrives with the flash of insight that cracks a previously intractable problem.The spiritual quest for elegance can turn the hacker into an artist.There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills.This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them.Instant onlinegrading for all of these problems is available from two WWW robot judging sites.Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge.The judge has ruled on well over one million submissions from 27,000 registered users around the world to date.We have taken only the best of the best, the most fun, exciting, and interesting problems available.
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Which programming language is suitable for programming?
The suitability of a programming language depends on the specific requirements of the project. Some popular programming languages like Python, Java, and JavaScript are versatile and widely used for a variety of applications. For web development, JavaScript is commonly used for front-end development, while Python and Java are popular for back-end development. Ultimately, the best programming language for a project will depend on factors such as the project's goals, team expertise, and scalability requirements.
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What else can be learned besides programming and network technology?
Besides programming and network technology, there are many other valuable skills and knowledge that can be learned. This includes soft skills such as communication, teamwork, problem-solving, and time management. Additionally, one can also explore areas like cybersecurity, data analysis, cloud computing, artificial intelligence, and project management. Developing a well-rounded skill set can make an individual more versatile and competitive in the ever-evolving tech industry.
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Which programming language is suitable for game programming?
There are several programming languages that are suitable for game programming, but some of the most popular ones include C++, C#, and Java. C++ is often used for high-performance games and is the language of choice for many game engines. C# is commonly used with the Unity game engine and is known for its ease of use and flexibility. Java is also a popular choice for game development, especially for Android games. Ultimately, the best programming language for game development depends on the specific requirements of the game and the developer's familiarity with the language.
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Which programming language is best for programming games?
The best programming language for programming games depends on the specific requirements of the game and the preferences of the developer. Some popular languages for game development include C++, C#, and Java. C++ is commonly used for high-performance games that require complex graphics and physics, while C# is often used with game development engines like Unity. Java is also a popular choice for developing mobile games. Ultimately, the best programming language for game development will vary based on the specific needs and goals of the project.
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Elekit Programming Follow (Elekit Programming Follow Speak forCHROME Talking Robot Programming MR-9123…)
Finished size (approx.): width 150 x inner 150 x height 175 mm; package size (approx.): width 375 x inner 75 x height 235 mm Material: ABS, PC, POM Be sure to check the detailed product description at the bottom and precautions before purchasing! To request a return or exchange, please note that it is mandatory to provide a video of the unpacking of the package.
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Programming ML.NET
The expert guide to creating production machine learning solutions with ML.NET!ML.NET brings the power of machine learning to all .NET developers— and Programming ML.NET helps you apply it in real production solutions.Modeled on Dino Esposito’s best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsoft’s team used to build ML.NET itself.After a foundational overview of ML.NET’s libraries, the authors illuminate mini-frameworks (“ML Tasks”) for regression, classification, ranking, anomaly detection, and more.For each ML Task, they offer insights for overcoming common real-world challenges.Finally, going far beyond shallow learning, the authors thoroughly introduce ML.NET neural networking.They present a complete example application demonstrating advanced Microsoft Azure cognitive services and a handmade custom Keras network— showing how to leverage popular Python tools within .NET. 14-time Microsoft MVP Dino Esposito and son Francesco Esposito show how to: Build smarter machine learning solutions that are closer to your user’s needsSee how ML.NET instantiates the classic ML pipeline, and simplifies common scenarios such as sentiment analysis, fraud detection, and price predictionImplement data processing and training, and “productionize” machine learning–based software solutionsMove from basic prediction to more complex tasks, including categorization, anomaly detection, recommendations, and image classificationPerform both binary and multiclass classificationUse clustering and unsupervised learning to organize data into homogeneous groupsSpot outliers to detect suspicious behavior, fraud, failing equipment, or other issuesMake the most of ML.NET’s powerful, flexible forecasting capabilitiesImplement the related functions of ranking, recommendation, and collaborative filteringQuickly build image classification solutions with ML.NET transfer learningMove to deep learning when standard algorithms and shallow learning aren’t enough“Buy” neural networking via the Azure Cognitive Services API, or explore building your own with Keras and TensorFlow
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Java Programming
Discover the power of Java™ for developing applications today when you trust the engaging, hands-on approach in Farrell's JAVA PROGRAMMING, 9E.Even if you're a first-time programmer, JAVA PROGRAMMING can show you how to quickly start developing useful programs, all while still mastering the basic principles of structured and object-oriented programming.Unique, reader-friendly explanations and meaningful programming exercises emphasize business applications and game creation while useful debugging exercises and contemporary case problems further expand your understanding.Additional digital learning resources within MindTap provide interactive learning tools as well as coding IDE (Integrated Development Environment) labs for practicing and expanding your skills.
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SQL Programming
Essential Structured Query Language (ANSI SQL-99) six page laminated guide with core commands, statements, syntax and terms for support of beginners who are learning, and experts as a handy quick reference.Author Robin Nixon worked with computers in the 80s and started developing websites in the 90s becoming an expert and writing over 40 programming books and over 500 articles for top computer magazines.With his expertise in the field and writing to his audience in our succinct and organized QuickStudy format, this reference has more quality actionable facts per page than any book or website.Designed for quick access to the facts you need, this inexpensive tool has been a best seller for over 10 years and is an easy add to your programming toolbox.
Price: 7.99 £ | Shipping*: 3.99 £
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Is programming Lego Mindstorms similar to programming PLCs?
Programming Lego Mindstorms and PLCs (Programmable Logic Controllers) share some similarities as they both involve writing code to control hardware devices. However, there are also significant differences between the two. Lego Mindstorms is typically used for educational purposes and is more user-friendly with a visual programming interface, while PLCs are used in industrial automation and require a more specialized knowledge of ladder logic programming. Additionally, PLCs are designed for real-time control of machinery and processes, whereas Lego Mindstorms is more focused on robotics and educational projects.
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Which programming language does Google use for programming?
Google primarily uses programming languages such as Java, Python, C++, and Go for their software development. Java is commonly used for building Android apps and backend services, while Python is used for scripting, automation, and web development. C++ is used for performance-critical components, and Go is used for cloud-based services and infrastructure. Overall, Google uses a variety of programming languages based on the specific requirements of their projects.
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What programming language is best for programming algorithms?
The best programming language for programming algorithms depends on the specific requirements and constraints of the problem at hand. However, languages like Python, C++, and Java are commonly used for algorithm development due to their strong support for data structures, efficient memory management, and high performance. Python is often preferred for its simplicity and readability, while C++ and Java are chosen for their speed and ability to handle complex computations. Ultimately, the best language for programming algorithms will depend on the specific needs of the project and the programmer's familiarity with the language.
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Which programming languages should a specialist in computer science for system integration master?
A specialist in computer science for system integration should master programming languages such as Java, Python, C++, and SQL. Java is widely used for building enterprise-level applications and is a key language for system integration. Python is popular for its simplicity and versatility, making it useful for automating tasks and integrating systems. C++ is important for developing high-performance applications and system-level software. SQL is essential for working with databases, which are a critical component of system integration. Overall, proficiency in these languages will enable a specialist to effectively integrate and manage complex computer systems.
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