Data science and AI have been the force behind the rise of Python adoption .
The growth of Python can be correlated with a wide range of tools and frameworks. The most notable ones are the surge of Jupyter Notebook, TensorFlow, and NLTK. Jupyter Notebook has risen over 100% YoY for last thee years. Besides, TensorFlow and NLTK were among the most popular projects, thereby increasing the number of contribution from Python users; TensorFlow was fifth in the number of contribution with 9.9k.