QUARTO: REVOLUTIONIZING CONTENT CREATION
Year:
2023Published in:
Information Technology and ImplementationThis article explores the transformative potential of Quarto, an innovative content creation platform, in modern education and multidisciplinary applications. By integrating with R, Python, and Julia programming languages, Quarto facilitates the development of dynamic documents, scientific articles, websites, and books, revolutionizing content creation across various domains [1, 2]. This article delves into the advantages of leveraging Quarto’s capabilities, providing an immersive and interactive experience, enabling educators, researchers, and authors to craft content that transcends the boundaries of traditional static materials.
Related by author
23 publications found
INFORMATION ANALYTICS FOR FORMING AND SUPPORTING PRODUCTIVE HABITS
Publisher: Taras Shevchenko National University of Kyiv
Authors: Ihor Miroshnychenko, Maxim Suprunenko
COMPARISON OF MACHINE LEARNING METHODS FOR EMOTIONAL ANALYSIS
Publisher: Taras Shevchenko National University of Kyiv
Authors: Ihor Miroshnychenko, Vladyslav Pelishenko
Model of management of storage of educational environment data flows
Publisher: Scientific Perspectives
Authors: Ihor Miroshnychenko, Jesus Raychuk
DEVELOPMENT OF DATA SCIENCE TECHNOLOGIES IN THE FIELD OF CLIMATE CHANGE RESEARCH
Publisher: Taras Shevchenko National University of Kyiv
Authors: Ihor Miroshnychenko, Andrii Ukrainets
Risk and return for cryptocurrencies as alternative investment: Kohonen maps clustering
Publisher: Київський національний економічний університет імені Вадима Гетьмана
Authors: Ihor Miroshnychenko, Andrii Kaminskyi, Kostiantyn Pysanets
STOCK PRICE FORECASTING USING ARTIFICIAL NEURAL NETWORKS
Publisher: Taras Shevchenko National University of Kyiv
Authors: Ihor Miroshnychenko, Yurii Levchenko
EVOLVING RUSSIAN CYBER ATTACKS: KEY TRENDS AND STRATEGIC DEFENSE SOLUTIONS FOR 2024
Publisher: Taras Shevchenko National University of Kyiv
Authors: Maksym Borysenko, Ihor Miroshnychenko
Development of models and information technology for predicting TV viewing metrics using data science methods
Publisher: Slovak University of Technology in Bratislava
Authors: Oleksandr Ilchuk, Ihor Miroshnychenko
ПРОГНОЗУВАННЯ БАНКРУТСТВА ПІДПРИЄМСТВА ЗА ДОПОМОГОЮ АЛГОРИТМІВ МАШИННОГО НАВЧАННЯ
Publisher: Ltd “DKS Centre”
Authors: Ihor Miroshnychenko, Vladyslav Krupin
Neuro‑fuzzy model of country's investment potential assessment
Publisher: Fuzzy Economic
Authors: A. Matviychuk, O. Lukianenko, Ihor Miroshnychenko