Distributed Statistical Computing (大数据分布式计算——教学讲义以及案例)

developed by

Feng Li
School of Statistics and Mathematics
Central University of Finance and Economics
feng.li@cufe.edu.cn

由中央财经大学统计与数学学院李丰建设。

Course Homepage （课程主页）

Distributed Statistical Computing for Big Data and Case Studies (大数据分布式计算与案例) ISBN：9787300230276
- Available at JD.COM
New version (In Preparation)
- HTML format
- Source

You could view all the notebooks in this repository via the Jupyter Notebook Viewer

Requirements to run the notebook interactively

Python (>= 3.6.0)
- findspark (invoke Spark from Python Session)
- numpy, scipy, pandas
Hadoop (>= 2.7.0)
Hive (>= 2.3.3)
Spark (>= 2.3.1)
Jupyter Notebook (>= 5.0)
- RISE (for Jupyter slides)
  
  Use Alt+R to enter slideshow mode
- Bash Kernel (for Linux and Hadoop, Hive, Spark batch mode)
- IPython kernel for Python 3 (for Interactive PySpark Sessions)
- HiveQL Kernel (for Interactive Hive Sessions)
- Spark Toree (for Interactive Spark Scala Sessions)