Products related to Programming:
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Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
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Foundations of Programming, Statistics, and Machine Learning for Business Analytics
Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage. This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics. Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice. Key features: · Introduces programming fundamentals using R and Python · Covers data structures, data management and manipulation and data visualization · Includes interactive coding notebooks so that you can build up your programming skills progressively Suitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science. Ram Gopal is Pro-Dean and Professor of Information Systems at the University of Warwick. Daniel Philps is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies. Tillman Weyde is Senior Lecturer at City, University of London.
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Hands-on Go Programming : Learn Google's Golang Programming, Data Structures, Error Handling and Concurrency
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C++ Programming : Program Design Including Data Structures
Learn how to program with C++ using today’s definitive choice for your first programming language experience -- C++ PROGRAMMING: PROGRAM DESIGN INCLUDING DATA STRUCTURES, 8E.D.S. Malik’s time-tested, student-centered methodology incorporates a strong focus on problem-solving with full-code examples that vividly demonstrate the hows and whys of applying programming concepts and utilizing C++ to work through a problem.Thoroughly updated end-of-chapter exercises, more than 20 extensive new programming exercises, and numerous new examples drawn from Dr. Malik’s experience further strengthen your understanding of problem solving and program design in this new edition.You review the important features of C++ 14 Standard with timely discussions that ensure this edition equips you to succeed in your CS1 course and beyond.
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How much storage is needed for programming?
The amount of storage needed for programming can vary depending on the specific requirements of the project and the tools being used. However, in general, a minimum of 250GB of storage is recommended for programming. This allows for the installation of programming languages, development environments, libraries, and other necessary software. Additionally, having extra storage space is beneficial for storing project files, databases, and other resources. Ultimately, the amount of storage needed for programming will depend on the size and complexity of the projects being worked on.
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What else can be learned besides programming and networking technology?
Besides programming and networking technology, individuals can also learn important skills such as problem-solving, critical thinking, communication, and teamwork. These skills are essential in any professional setting and can help individuals succeed in their careers. Additionally, individuals can also learn about cybersecurity, data analysis, cloud computing, and other emerging technologies to stay competitive in the ever-evolving tech industry. Continuous learning and development in these areas can open up new opportunities and help individuals advance in their careers.
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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 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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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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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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Data Science Programming All-in-One For Dummies
Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026.It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R.It helps you decide which programming languages are best for specific data science needs.It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionalsWhat lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data storySee clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!
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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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Which programming language is well-suited for processing data?
Python is well-suited for processing data due to its extensive libraries and tools for data analysis, manipulation, and visualization. Libraries such as Pandas, NumPy, and Matplotlib make it easy to work with large datasets and perform complex data operations. Additionally, Python's simplicity and readability make it a popular choice for data processing tasks, as it allows for quick and efficient development of data-related applications.
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Do you need help programming the workpiece for CNC turning technology?
Yes, I can help you with programming the workpiece for CNC turning technology. I can assist you in creating the necessary code to accurately machine the workpiece according to your specifications. Just provide me with the details of the workpiece design and machining requirements, and I will generate the appropriate program for you to use on your CNC turning machine.
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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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