What is the future of Python in data science?
Python is expected to remain a dominant language in data science due to its simplicity and extensive libraries.
What libraries should I focus on learning?
Key libraries include Pandas for data manipulation, NumPy for numerical data, and TensorFlow or PyTorch for machine learning.
How is Python evolving to meet new data science challenges?
Python is evolving with enhanced performance, better concurrency support, and integration with big data technologies.
Are there any emerging trends in Python for data science?
Yes, trends include increased use of AI and machine learning, automation of data workflows, and improved data visualization tools.
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