Comparing Julia and Python for Data Science Projects

Python is widely used for data analysis and machine learning, while Julia is designed with a strong focus on numerical computing and performance. For projects involving large datasets, statistical modelling, or scientific computing, choosing the right language can depend on performance requirements, available libraries, and team experience. Question: For data science and machine learning workflows, when have you found Julia more suitable than Python? Are there particular packages or use cases ...