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As data science continues to advance, managing environments and dependencies become increasingly vital. Conda, a versatile open-source tool, has gained widespread adoption among data scientists.
Please allow me to draw an example, it will be easier to understand in such manner. > (test) C:\Users\user>pip install numpy==2.0.0 Looking in indexes: https://pypi ...
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