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This book covers all of the essential Python programming topics with instructive examples, data science library tools, comprehensive coverage on machine learning, deep learning and quantum computing used in the development of real-time applications that leverage AI, machine learning, and deep learning. Python programming explains one of the most rapidly evolving and popular programming languages with the idea of modularity. This is a beginner's book suitable for students, software developers, programmers, IT experts, and data professionals who want to learn and practice. Chapter summary for quick review of the concepts:  Table of Contents, 1. Python Programming Basics, 2. Flow Control Statements, 3. Functions, 4. Lists & Tuples, 5. Dictionaries & Structuring Data, 6. Working With Strings, 7. Regular Expressions, 8. Reading & Writing Files, 9. Numpy, 10. Matplotlib, 11. Pandas, 12. Scikit Learn, 13. Data Science, 14. Machine Learning, and 15. Introduction to Quantum Computing.

Systematic Handbook for Python and Data Science Toolkit

Python Programming Basics.- Flow Control Statements.- Functions.- Lists and Tuples.- Dictionaries and Structuring Data.- Working with Strings.- Regular Expressions.- Reading and Writing Files.- Numpy.- Matplotlib.- Pandas.- Scikit Learn.- Data Science.- Machine Learning.