Extensible Application Markup Language (XAML) is a declarative XML-based language used to initialize structured values and objects. It is primarily used for designing user interfaces in Windows Presentation Foundation (WPF), Universal Windows Platform (UWP), and Xamarin.Forms applications, allowing developers to define UI elements, data binding, and event handling in a clear and concise manner.
Extensible Application Markup Language
About Extensible Application Markup Language
Extensible Application Markup Language (XAML) was introduced by Microsoft in 2006 as part of the .NET Framework 3.0. It was created to simplify the process of designing user interfaces for Windows applications, allowing developers to separate UI design from business logic by using a declarative XML-based language. XAML aimed to enhance productivity and maintainability in application development, particularly within the Windows Presentation Foundation (WPF) framework.
Strengths of Extensible Application Markup Language (XAML) include its ability to cleanly separate UI design from business logic, support for rich data binding, and extensive customization capabilities. Weaknesses include a steep learning curve for beginners and potential performance issues in complex applications. Competitors of XAML include HTML/CSS combined with JavaScript frameworks (e.g., React, Angular) and other UI frameworks like Flutter and SwiftUI.
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How to hire a Extensible Application Markup Language expert
A XAML expert must have strong skills in Windows Presentation Foundation (WPF) and Universal Windows Platform (UWP) development. Proficiency in C# is essential for integrating XAML with backend logic. Knowledge of data binding, styles, templates, and resource dictionaries is crucial. Familiarity with Visual Studio and Blend for Visual Studio is also important for designing and debugging XAML-based applications. Understanding of MVVM (Model-View-ViewModel) architecture is beneficial for maintaining clean code separation.

Silvio T.
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Aiming for a position in the market to utilize accumulated expertise and contribute effectively to team efforts, with a focus on facilitating organizational growth and fostering both personal and professional advancement.

Robert S.
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An accomplished programmer with six years of expertise, specializing in TypeScript, known for delivering high-quality solutions with efficiency. Demonstrating robust experience in full-stack development, adept in utilizing React, NextJS, Node.js, and TypeScript. Driven by a passion for continuous learning and quickly mastering new technologies. Consistently motivated to create innovative and efficient solutions, approaching challenges with creativity and technical proficiency. Proven leadership skills and a successful project delivery record underscore the ability to contribute significantly to dynamic and collaborative teams focused on innovative projects.

Felipe C.
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A professional specialized in planning and developing web solutions with expertise in HTML, CSS (including Sass, Bootstrap, Tailwind), and JavaScript (including jQuery, TypeScript, React, Node.js). This individual seeks to integrate extensive experience and knowledge into a unified designer/developer profile.

Lucas T.
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A software developer specializing in frontend application development with a user-centric approach, possessing four years of focused expertise in ReactJS and NextJS technologies. This professional's foundation in technology originates from early gaming experiences, which sparked a lifelong passion. They have a keen interest in artificial intelligence and web design, motivated by the innovative potential within these areas. Dedicated to continuous learning and the creation of high-quality products, this developer remains committed to advancing their skills and contributing to the tech industry.

Gabriel R.
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Possessor of a deep enthusiasm for technology and innovation, with a strong commitment to utilizing cutting-edge solutions to contribute positively to the world.

Naoki T.
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With over 15 years of entrepreneurial experience and a strong specialization in data leadership, this candidate exemplifies exceptional analytical capabilities. Proficient in the complete data science and engineering workflow, they excel in extract, transform, load (ETL) processes, as well as production implementation. Expertise encompasses programming languages such as Python, R, and JavaScript, alongside a focus on developing supervised and unsupervised machine learning models, including neural networks. Adept in agile methodologies like Scrum, Kanban, and Crisp-DM, they apply quality management practices such as Ishikawa diagrams and SWOT analysis. The candidate possesses extensive knowledge of both relational and non-relational database systems (SQL and NoSQL), particularly MongoDB and Elasticsearch, coupled with advanced skills in processing large data volumes using Spark and PySpark. Cloud infrastructure expertise spans across AWS and Azure services, including S3, EC2, Lambda, and security measures. A notable profile also includes proficiency in Natural Language Processing (NLP) and recent experiences with large language models (LLM), equipping them to tackle complex challenges in the data sector. They also conduct technical interviews and provide team training, showcasing leadership in both technical and collaborative environments.

Victor S.
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A technology enthusiast with a specialization in Express.js, React.js, and React Native since 2019. Holds a degree in Information Systems. Fluent in English at an intermediate level. Hosts a podcast discussing topics related to the hacker world. Currently aims to venture into application security, merging interests in programming and cybersecurity.

Cleiton C.
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Certified Cybersecurity Professional, specialized in Level 1 Machine Learning, Linux, and Private Cloud Administration with IBM Power Systems and Red Hat. Possesses extensive accreditation from prestigious institutions including IBM, Oracle, AWS, CISCO, EC-Council, Atlassian, CertProf, API Academy Foundations, and Harvard BBS with a CS50 specialization.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
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$ 127K
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$ 97K
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