Are you ready for the second text? We'll do the same thing. You read the text, you guess which programming language it is about, and I'm back in one minute. Okay, so the time is over. I hope you managed to guess what language it is. This time it's Python. Python, that's right. What makes this language stands out? Actually, you might have noticed that Python is a very powerful language which can be used for multiple purposes, from web development to machine learning. You can see that in this text. We also have a couple of highlighted words and expression. And the first one is to stand out. When something stands out, it means that something is much better than something else. The next highlighted word is reliable. When something is reliable, it means that it is trustworthy, you can trust this thing. On top of that is a good linking word. On top of that is the synonym to the word, additionally, moreover, what's more. You might know that if you want to make your speech structured, if you want to make your speech coherent, you have to use linking words, such as, for example, so, first, secondly, moreover, on top of that. On top of that is one of the linking word which helps to make your speech structured and coherent. And the last word combination we have here is tried and tested. By the way, here in this text, we have a synonym. We have a synonym to these word combination. Can you guess which word it is? It's also highlighted word. Yeah, of course, tried and tested is the synonym to the word reliable. Because if something is tried and tested, if something is reliable, you can trust it. Besides this highlighted words, I would like to draw your attention also to the names of libraries which we have in this text, and to be more specifically, I would like to draw your attention to the pronunciation, to the way we pronounce the names of those libraries. The first one is TensorFlow, it's quite easy. It's quite obvious. But unfortunately, when pronouncing the next two libraries, non-native speakers quite often make mistakes. So, I want us to eliminate those mistakes today. The next library is pronounced as Scikit-Learn. Scikit-Learn. Why Sci because it stands for the word science. Scikit-Learn. And the last one, I'm sure you are going to be surprised. Next one is pronounced as Numpy. It's not Numpy, it's Numpy, because py stands for Python.