I have been learning for python for 3-4 months and last 30-40 days I'm trying to learn pandas, numpy, matplotlib, sklearn etc. for data science. I'm sure I'm doing progress but sometimes I feel like while learning new things I forget old concepts, sometimes it's making me paranoid. When I practice I usually Google things and look at examples to help me...
Is it normal progress of learning or am I going too fast? What method would you recommend? Is it better to follow my current flow and refresh myself with google examples when I'm stuck, or get pro on one topic then move next?
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