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Top rated python programming books
Here are some top-rated Python programming books:
- "Python Crash Course" by Eric Matthes: This book is a comprehensive introduction to Python programming, covering the basics, data structures, file I/O, and web development. (4.7/5 on Amazon)
- "Automate the Boring Stuff with Python" by Al Sweigart: This book focuses on practical applications of Python, such as automating tasks, working with files and directories, and interacting with the web. (4.7/5 on Amazon)
- "Python for Data Analysis" by Wes McKinney: This book is a must-have for data scientists and analysts, covering the use of Python for data analysis, visualization, and manipulation. (4.6/5 on Amazon)
- "Learning Python" by Mark Lutz: This book is a thorough introduction to Python programming, covering the language syntax, data structures, and object-oriented programming. (4.5/5 on Amazon)
- "Python Cookbook" by David Beazley and Brian Kernighan: This book is a collection of recipes and solutions for common Python programming tasks, covering topics such as data structures, file I/O, and networking. (4.5/5 on Amazon)
- "Python Web Development with Flask" by Miguel Grinberg: This book is a comprehensive guide to building web applications with Flask, a popular Python web framework. (4.5/5 on Amazon)
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron: This book is a practical introduction to machine learning with Python, covering the use of popular libraries such as Scikit-Learn, Keras, and TensorFlow. (4.7/5 on Amazon)
- "Deep Learning with Python" by François Chollet: This book is a comprehensive introduction to deep learning with Python, covering the use of the Keras library and the concepts of neural networks. (4.5/5 on Amazon)
- "Python Natural Language Processing" by spaCy: This book is a comprehensive guide to natural language processing with Python, covering the use of the spaCy library and the concepts of text processing and analysis. (4.5/5 on Amazon)
- "Real-World Python" by Lee Vaughan: This book is a practical guide to using Python in real-world applications, covering topics such as web development, data analysis, and automation. (4.4/5 on Amazon)
Note: The ratings are based on Amazon reviews and are subject to change over time.
For beginners, I would recommend starting with "Python Crash Course" or "Automate the Boring Stuff with Python". For more advanced learners, "Python for Data Analysis" or "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" may be a better fit.
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