Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis.

After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning.

Work with vectors and matrices using NumPy; Plot and visualize data with Matplotlib; Perform data analysis tasks with Pandas and SciPy; Review statistical modeling and machine learning with statsmodels and scikit-learn; Optimize Python code using Numba and Cython.

## Book Details | |

Publisher: | Apress |

By: | Robert Johansson |

ISBN-13: | 9781484242452 |

ISBN-10: | 1484242459 |

Year: | 2019 |

Pages: | 700 |

Language: | English |

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Online | Numerical Python, 2nd Edition |

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Source Code | Numerical Python, 2nd Edition |

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Buy: | Numerical Python, 2nd Edition |

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