Ten Trending Data Science Tools in 2021

The fields of data science and artificial intelligence see constant growth. As more companies and industries find value in automation, analytics, and insight discovery, there comes a need for the development of new tools, frameworks, and libraries to meet increased demand. There are some tools that seem to be popular year after year, but some newer tools emerge and quickly become a necessity for any practicing data scientist. As such, here are ten trending data science tools that you should have in your repertoire in 2021. PyTorch can be used for a variety of functions from building neural networks to decision trees due to the variety of extensible libraries including Scikit-Learn, making it easy to get on board.