官术网_书友最值得收藏!

Chapter 1. Laying the Foundation for Reproducible Data Analysis

In this chapter, we will cover the following recipes:

  • Setting up Anaconda
  • Installing the Data Science Toolbox
  • Creating a virtual environment with virtualenv and virtualenvwrapper
  • Sandboxing Python applications with Docker images
  • Keeping track of package versions and history in IPython Notebooks
  • Configuring IPython
  • Learning to log for robust error checking
  • Unit testing your code
  • Configuring pandas
  • Configuring matplotlib
  • Seeding random number generators and NumPy print options
  • Standardizing reports, code style, and data access
主站蜘蛛池模板: 祁门县| 龙岩市| 云梦县| 天全县| 永丰县| 深州市| 六盘水市| 淳化县| 阜阳市| 保德县| 辽宁省| 黄浦区| 横峰县| 博罗县| 清远市| 梧州市| 长泰县| 关岭| 德保县| 凤凰县| 博客| 从江县| 安塞县| 会宁县| 湘潭市| 大英县| 阳原县| 夏河县| 新建县| 自贡市| 富民县| 三亚市| 府谷县| 边坝县| 个旧市| 类乌齐县| 尚义县| 吴江市| 彭水| 三原县| 恩施市|