本书详细介绍如何使用Python解决数学问题，不仅涵盖Python包、绘图工具和代码等基础知识，还将深入探讨微积分、概率与统计、几何等传统数学理论及其应用。
此外，书中还涉及当前机器学习和人工智能领域的热门主题，如树和网络、回归和预测等。每章围绕一个主题的多个方面或同一主题的多种典型方法详细展开，分别从“准备工作”、“实现方法”、“原理解析”、“更多内容”等方面进行细致介绍，循序渐进地引导读者掌握每项技术，而且每章最后还会推荐高质量的学习资源。
这种结构不仅适合初学者逐步学习，也会为有经验的程序员和数据科学家提供实用的方法论。
作者简介:
Sam Morley is an experienced lecturer in mathematics and a researcher in pure mathematics. He is currently a research software engineer at the University of Oxford working on the DataSig project. He was previously a lecturer in mathematics at the University of East Anglia and Nottingham Trent University. His research interests lie in functional analysis, especially Banach algeb... Sam Morley is an experienced lecturer in mathematics and a researcher in pure mathematics. He is currently a research software engineer at the University of Oxford working on the DataSig project. He was previously a lecturer in mathematics at the University of East Anglia and Nottingham Trent University. His research interests lie in functional analysis, especially Banach algebras. Sam has a firm commitment to providing high-quality, inclusive, and enjoyable teaching, with the aim of inspiring his students and spreading his enthusiasm for mathematics.
目录:
第1章 基础软件包、函数和概念简介
第2章 使用Matplotlib进行数学绘图
第3章 微积分和微分方程
第4章 使用随机性和概率
第5章 使用树和网络
第6章 使用数据和统计学
第7章 使用回归和预测
第8章 几何问题
第9章 寻找最优解
第10章 提升工作效率
点击下载