The Statistics and Calculus with Python Workshop: A comprehensive introduction to mathematics in Python for artificial intelligence

CyberSecurity Summary

A comprehensive guide to applied statistics and calculus using Python, focusing on practical implementation rather than just theoretical concepts. It begins with Python fundamentals, covering data structures, functions, and debugging, before moving into statistical topics like descriptive and inferential statistics, probability, and data visualization with libraries such as NumPy, pandas, Matplotlib, and Seaborn. The text then transitions to calculus, exploring derivatives, integrals, sequences, series, and various applications including financial analysis, optimization, and solving differential equations with numerical methods like Euler's method. Throughout, the material emphasizes hands-on exercises and real-world problems, illustrating how Python can be leveraged for complex mathematical and statistical computations, from building text predictors with Markov chains to analyzing projectile motion.
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