python-workshop-april2018
所属分类：数据可视化
开发工具：Jupyter Notebook
文件大小：3152KB
下载次数：0
上传日期：2018-04-11 22:33:11
上 传 者：
sh-1993
说明： PYTHON编程、数据可视化和模型拟合简介
(INTRODUCTION TO PROGRAMMING, DATA VISUALIZATION, & MODEL FITTING WITH PYTHON)
文件列表:
Codes.zip (32208, 2018-04-12)
Codes (0, 2018-04-12)
Codes\data (0, 2018-04-12)
Codes\data\iris.data (4606, 2018-04-12)
Codes\data\oldfaithful.csv (3992, 2018-04-12)
Codes\data\performanceInfo.csv (13345, 2018-04-12)
Codes\data\playerInfo.csv (7883, 2018-04-12)
Codes\notebooks (0, 2018-04-12)
Codes\notebooks\01_Python_Basics_Exercises.ipynb (7734, 2018-04-12)
Codes\notebooks\02_Getting_Started_with_Numpy.ipynb (20303, 2018-04-12)
Codes\notebooks\03_Getting_Started_with_Pandas.ipynb (12648, 2018-04-12)
Codes\notebooks\04_Visualization_in_Python.ipynb (12000, 2018-04-12)
Codes\notebooks\05_Modeling_in_Python.ipynb (12113, 2018-04-12)
Codes_Solutions.zip (333496, 2018-04-12)
GettingStartedApril2018.pdf (490362, 2018-04-12)
WorkshopSlidesApril2018.pdf (1558581, 2018-04-12)
WorkshopSlidesApril2018.pptx (1055007, 2018-04-12)
INTRODUCTION TO PROGRAMMING, DATA VISUALIZATION, & MODEL FITTING WITH PYTHON
This workshop explores Python programming language as a tool in the
scientific environments and how the language, with several available
open source libraries can serve as a powerful weapon in your data
analysis arsenal!
In concordance with our previous workshop in Python ([https://github.com/arjangvt/PythonWorkshop](https://github.com/arjangvt/PythonWorkshop))
the material of this workshop is designed as a stand-alone introduction to the data science
aspect of Python with a brief emphasize on the basic programming topic.
By the end of the workshop, you should be able to:
- Use NumPy for scientific computing
- Use pandas to perform simple data analysis
- Use Sci-kit to generate a simple statistical model of the data
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