title: What is the difference between pandas assign() function and apply() function?
body: <p>I'm learning data exploration in Python. While practising the <code>pandas</code> library, I saw two functions named <code>df.assign()</code> and <code>df.apply()</code>. The definition of both functions looked very similar. Can you please explain to me these two functions and their unique use cases?</p>