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bayesian-analysis-with-python's Introduction

用Python做贝叶斯分析

本书代码部分使用的是Python3.5以上的版本,因此建议你使用Python3的最新版,尽管本书的大部分代码都能在更早的版本上运行(包括Python2.7,不过可能需要稍微修改下)。

安装Python和Python库最简单的方法是使用Anaconda(一个用于科学计算的软件),你可以从这里了解和下载Anaconda https://www.continuum.io/downloads。在安装好Anaconda之后,可以使用conda install 库的名称来安装相关的Python库。

本书会用到以下Python库:

  • Ipython 5.0
  • NumPy 1.11.1
  • SciPy 0.18.1
  • Pandas 0.18.1
  • Matplotlib 1.5.3
  • Seaborn 0.7.1
  • PyMC3 3.1rc3

注意:

  1. 如果你已经安装了Python2.7版本的Anaconda,可以通过执行conda create -n py3 python=3 anaconda增加一个py3的环境,然后运行source activate py3切换过去,运行完代码之后,执行source deactivate切回去。

  2. 通过pip install pymc3安装的PyMC3版本会比较旧,建议直接运行pip install git+https://github.com/pymc-devs/pymc3安装。

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