Products related to Programming:
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Portfolio Management : Delivering on Strategy
Portfolio management is becoming the ‘must have’ for organizations to prosper and survive in this decade and beyond.No longer can the organizational focus be one of following best and repeatable practices as resource limitations mean only those programs, projects, and operational work that add business value can and should be pursued.Executives are focusing on strategic ability and managing complexity, which can only be done through a disciplined portfolio process in ensuring the best mix of programs, projects, and operational work is under way.In turn, the portfolio is constantly in flux as difficult decisions are made if a project, for example, is no longer contributing to business value and providing benefits and should be terminated to reallocate resources to one of higher priority.Commitment to this difficult approach is necessary at all levels, and communication is required so everyone knows how their work contributes to the organization’s strategic goals and objectives. Portfolio Management: Delivering on Strategy, Second Edition focuses on the benefits of portfolio management to the organization.Its goal is to provide senior executives a view on how portfolio management can deliver organizational strategy.The emphasis is on the specific aspects within the portfolio management discipline and how each aspect should be managed from a business perspective and not necessarily from a portfolio management perspective.Highlights of the book include:Agile portfolio management Delivering organizational value Portfolio management and uncertainty Portfolio governance Marketing a portfolio Portfolio management success Starting with a review of the project portfolio concept and its development, this book is a reference for executives and practitioners in the field, as well as a students and researchers studying portfolio management.
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Applied Fundamentals in Finance : Portfolio Management and Investments
This textbook provides a comprehensive introduction to portfolio management and investments.Focusing on four core areas – portfolio management, equities, bonds, and derivatives – it is primarily intended for undergraduate and graduate students alike.However, it will also benefit practitioners working in the fields of financial analysis and portfolio management and professionals who aspire to such professional activities in the financial industry.To ensure its high practical relevance, the book includes a host of case studies and examples from real-world practice, mainly from the German and Swiss financial markets.Additionally, the book shows how to implement the models in Microsoft Excel.
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Learning Modern C++ for Finance : Foundations for Quantitative Programming
This practical book demonstrates why C++ is still one of the dominant production-quality languages for financial applications and systems.Many programmers believe that C++ is too difficult to learn.Author Daniel Hanson demonstrates that this is no longer the case, thanks to modern features added to the C++ Standard beginning in 2011. Financial programmers will discover how to leverage C++ abstractions that enable safe implementation of financial models.Youall also explore how popular open source libraries provide additional weapons for attacking mathematical problems.C++ programmers unfamiliar with financial applications also benefit from this handy guide. Learn C++ basics from a modern perspective: syntax, inheritance, polymorphism, composition, STL containers, and algorithmsDive into newer features and abstractions including functional programming using lambdas, task-based concurrency, and smart pointersImplement basic numerical routines in modern C++Understand best practices for writing clean and efficient code
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Behavioral Finance and Your Portfolio : A Navigation Guide for Building Wealth
Become a more strategic and successful investor by identifying the biases impacting your decision making. In Behavioral Finance and Your Portfolio, acclaimed investment advisor and author Michael M.Pompian delivers an insightful and thorough guide to countering the negative effect of cognitive and behavioral biases on your financial decisions.You’ll learn about the “Big Five” behavioral biases and how they’re reducing your returns and leading to unwanted and unnecessary costs in your portfolio. Designed for investors who are serious about maximizing their gains, in this book you’ll discover how to: ?Take control of your decision-making—even when challenging markets push greed and fear to intolerable levels ?Reflect on how to make investment decisions using data-backed and substantiated information instead of emotion and bias ?Counter deep-seated biases like loss aversion, hindsight and overconfidence with self-awareness and hard facts ?Identify your personal investment psychology profile, which you can use to inform your future financial decision making Behavioral Finance and Your Portfolio was created for individual investors, but will also earn a place in the libraries of financial advisors, planners and portfolio managers who are determined to counteract the less principled and data-driven aspects of their decision making.
Price: 18.99 £ | Shipping*: 3.99 £
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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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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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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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Portfolio Selection : Efficient Diversification of Investments
This is a classic book, representing the first major breakthrough in the field of modern financial theory.In effect, it created the mathematics of portfolio selection in a model which has turned out to be the indispensable building block from which the theory of the demand for risky securities is constructed.
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Digital Assets : A Portfolio Perspective
From the perspective of an investor, digital assets are an alternative class of assets.They have several features that differentiate them from traditional investments.This makes them well-suited for a diversified portfolio.The question is how to accommodate them in such a portfolio, how to manage their potential and risk, and how to evaluate them.This short book explains how to include digital assets is a diversified portfolio.It focuses on their differentiating use cases, their idiosyncracies, and how they relate to other types of investment.This is a volume for practitioners and students in finance, asset management, or portfolio construction.
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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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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 language is suitable for programming a launcher?
A programming language that is suitable for programming a launcher would be a language that allows for low-level system interactions and control over hardware. Languages like C or C++ are commonly used for developing launchers due to their ability to directly manipulate memory and interact with hardware components. Additionally, languages like Python or Java can also be used for developing launchers, as they provide higher-level abstractions and easier syntax for rapid development. Ultimately, the choice of programming language would depend on the specific requirements and constraints of the launcher project.
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Is programming creative?
Yes, programming is creative. Programmers use their creativity to solve complex problems, design user-friendly interfaces, and create innovative solutions. They have the freedom to experiment with different approaches and technologies to come up with unique and efficient solutions. Just like artists or writers, programmers use their creativity to bring their ideas to life through code.
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