Скачать или смотреть Learn Python with ChatGPT: Function in Python, parameters versus arguments and return (Part 2)

The video discusses the topic of functions in Python, with the help of ChatGPT, a language model trained by OpenAI. The video begins with a brief introduction and a recap of the previous video, which covered the first two topics on functions. The presenter then proceeds to discuss the next three topics, which are related and will be discussed together. The topics include the difference between parameters and arguments, how to call a Python function, and return statements.

The presenter emphasizes that the video is aimed at absolute beginners in Python, and that ChatGPT will provide explanations in the simplest possible way. The presenter explains that parameters are the placeholders that are defined in the function, while arguments are the actual values that are passed in when the function is called.

To illustrate this concept, the presenter gives an example of a function called "add_numbers", which takes two parameters and returns their sum. The function is called with arguments, which are the actual values to be added. The presenter also explains the importance of return values, which can be assigned to variables and used later in the program.

The video also includes a summary of the key points discussed, which reiterates the difference between parameters and arguments, and the importance of return values. The presenter encourages viewers to practice using the Jupyter Notebook, and to experiment with different arguments and parameters to better understand how functions work.

The presenter also addresses a common question, which is how to use the return statement in Python functions. To provide a simple explanation, the presenter gives several examples of how the return statement can be used, such as finding the largest number from a set of numbers or determining if a number is even or odd.

The video concludes by encouraging viewers to ask ChatGPT for more examples and explanations, and to continue practicing using the Jupyter Notebook. The presenter emphasizes that with practice, even the most complex concepts can be easily understood, and that the key is to keep things simple and to ask for help when needed.