Jupyter Notebook

Jupyter Notebooks are interactive computing environments widely used for data science and machine learning, facilitating rapid prototyping and experimentation. Current research focuses on improving notebook quality through static analysis tools that identify and correct bad coding practices, enhancing searchability via semantic search powered by large language models, and automating tasks like cell classification to improve readability and understanding. These advancements aim to streamline the data science workflow, improve reproducibility, and enable seamless scaling of projects from individual laptops to large-scale distributed computing environments, ultimately boosting efficiency and productivity in scientific research and practical applications.