What are some recommended programming books for data science?

What are some recommended programming books for data science?

Here are a few great programming books for data science:

1. "Python for Data Analysis" by Wes McKinney
2. "R for Data Science" by Hadley Wickham
3. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
4. "Data Science from Scratch" by Joel Grus
5. "Deep Learning with Python" by François Chollet.

Can you tell me more about 'Python for Data Analysis'?

Sure! "Python for Data Analysis" by Wes McKinney focuses on using Python for data manipulation and analysis. It covers libraries like Pandas and NumPy, making it a great resource for beginners and experienced programmers alike.

Are there any books that focus on machine learning specifically?

Yes, definitely! Some popular machine learning books include:

1. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
2. "Pattern Recognition and Machine Learning" by Christopher Bishop
3. "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

What about books for beginners in data science?

For beginners, I recommend:

1. "Data Science for Dummies" by Judith Hurwitz
2. "Python for Data Science Handbook" by Jake VanderPlas
3. "The Data Science Handbook" by Carl Shan et al. These books provide a solid foundation in data science concepts and tools.