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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python is a comprehensive guide to leveraging the power of Python for numerical computing, data analysis, and scientific modeling.
With this fully revised edition, you'll learn how to work with vectors and matrices using NumPy, plot and visualize data with Matplotlib, perform data analysis tasks with Pandas, and much more! You'll also discover how to review statistical modeling and machine learning with statsmodels and scikit-learn, optimize Python code using Numba and Cython, and more.
Whether you're a developer looking to understand how to use Python for numerical computing or an experienced programmer looking to expand your skills, this book has something for you.
Get ready to unlock the full potential of Python and take your coding skills to the next level!
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