Should we choose R or Python? What's better, TensorFlow or PyTorch? A list of endless quarrels about which is the best X for doing Y can be found all over the internet. Those discussions are ceaseless simply because there is no silver bullet in the technology world. Every team of professionals has their specific use cases, which makes a certain technology choice work for them. There is no technology that will equally satisfy everyone.
X versus Y disputes often happen inside project teams, which is the most unproductive activity engineers can spend their time on. If you try to transition from X versus Y debates to searching for technologies that fit your specific needs (which are clearly stated, classified, and documented), you will get far more useful results in less time. Choosing the most modern or fashionable technologies is the closest analogy...
