Here are nine Python data science books that were highly recommended

"Python for Data Analysis" by Wes McKinney

"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron

"Data Science for Business" by Foster Provost and Tom Fawcett

"Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili

"Data Science from Scratch" by Joel Grus

"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

"Python Data Science Handbook" by Jake VanderPlas

"Storytelling with Data" by Cole Nussbaumer Knaflic

"Effective Python: 90 Specific Ways to Write Better Python" by Brett Slatkin