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bookdata's Introduction

Python 和数据科学

全书目录：

入门篇：

  • Linux
  • ipython
  • 数值计算（Numpy）
  • 数据绘图（Matplotlib）
  • 数据绘图（Seabornd)

基础篇：

  • 数据操作（Pandas）
  • 概率和统计分析（StatsModels）
  • 数值计算（Scipy）
  • 线性模型（StatsModels）
  • 机器学习初步（SKlearn）

理论篇：

  • 线性代数
  • 微积分
  • 统计学和概率论
  • 机器学习

工具篇：

  • 书籍推荐
  • 好资源

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