You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you've developed a solid base in these topics, you'll have the confidence to set out on math adventures with Python as you explore Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code.

By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.

## Book Details | |

Publisher: | Packt Publishing |

By: | Sam Morley |

ISBN-13: | 9781804618370 |

ISBN-10: | 1804618373 |

Year: | 2022 |

Pages: | 376 |

Language: | English |

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Online | Applying Math with Python, 2nd Edition |

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Source Code | Applying Math with Python, 2nd Edition |

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