Which is better for data science: Go or Python?
Python is generally preferred for data science due to its extensive libraries and community support. Go is faster but less common.
What libraries does Python offer for data science?
Python has libraries like Pandas for data manipulation, NumPy for numerical data, and Matplotlib for data visualization.
Can Go be used for machine learning?
Yes, Go can be used for machine learning, but it lacks the extensive libraries that Python offers, making it less convenient.
What are the performance differences between Go and Python?
Go is generally faster than Python due to its compiled nature, but Python's ease of use often outweighs performance concerns for data science.
Should I learn Go if I already know Python?
Learning Go can be beneficial, especially for performance-critical applications, but it depends on your specific goals in data science.
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