Python for AI: Key Concepts and Functions

Key features include f-strings, first-class functions, and built-in data structures like lists, tuples, sets, and dictionaries.

This allows functions to be assigned to variables, passed as arguments, and returned from other functions, enhancing code flexibility.

Generators allow for lazy evaluation, yielding values one at a time, which can save memory and improve performance.

<p>Testing ensures that the code behaves as expected, helping to identify bugs and validate the effectiveness of algorithms.</p> Signup and view all the answers

<p>Libraries like Matplotlib enable data visualization, making it easier to interpret and understand complex datasets used in AI.</p> Signup and view all the answers

<p>Late binding occurs when a function uses the most recent value of a variable at the time it is called, while early binding uses the value of the variable at the time the function is defined.</p> Signup and view all the answers

<p>Embedded function definitions allow for the inclusion of a <strong>doc</strong> string, enabling better documentation of the function's purpose.</p> Signup and view all the answers

<p>The yield command allows a function to return a value and pause its execution, making it possible to create generators that compute values only when needed.</p> Signup and view all the answers

<p>The output will be [14, 14, 14, 14, 14].</p> Signup and view all the answers

<p>fun_list2 captures the value of iv at the time each function is defined, while fun_list3 captures i at the end of the loop, resulting in all functions referring to the same final value.</p> Signup and view all the answers