<ul data-eligibleForWebStory="false"><li>The individual is learning Python for automation scripting and aims to venture into machine learning, finding Python a bit clunky compared to other languages like C++, JavaScript, and Java.</li><li>They have covered topics like variables, lists, dictionaries, loops, functions, basic OOP concepts, and built a few mini projects.</li><li>They are eager to transition to NumPy and Pandas without getting stuck in 'tutorial hell' but are unsure about the required Python proficiency level before diving into these libraries.</li><li>The individual seeks advice on when to start using NumPy or Pandas, whether readiness is necessary before delving in, and any common mistakes or traps to avoid when starting with these libraries.</li></ul>

How Much Python Should I Know Before Jumping Into NumPy and Pandas?

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