# Data-analysis-with-python **Repository Path**: prfri_sxf/Data-analysis-with-python ## Basic Information - **Project Name**: Data-analysis-with-python - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-11-25 - **Last Updated**: 2021-11-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Data-analysis-with-python 用python玩转数据。Data analysis with python. ## 1. 涉及的内容 - [神奇的numpy](https://nbviewer.jupyter.org/github/SuperSupeng/Data-analysis-with-python/blob/master/dataAnalysis/Magical-numpy/神奇的numpy.ipynb) - [强大的pandas](https://nbviewer.jupyter.org/github/SuperSupeng/Data-analysis-with-python/blob/master/dataAnalysis/Powerful-pandas/强大的pandas.ipynb) - [数据载入]() - [数据清洗]() - [数据规整]() - [数据聚合与分组]() ## 2. 数据可视化 - [便捷的matplotlib](https://nbviewer.jupyter.org/github/SuperSupeng/Data-analysis-with-python/blob/master/dataAnalysis/beautiful-matplotlib/美丽的matplotlib.ipynb) - [bokeh](https://github.com/SuperSupeng/Data-analysis-with-python/blob/master/dataAnalysis/oh-bokeh/README.md) ## 3. 机器学习中Python数据实践样例 - [房价预测]() - [根据分数预测学生是否被录取]() ## 4. 本项目参考: ### 4.1 <<利用Python进行数据分析>> ![利用Python进行数据分析](https://github.com/SuperSupeng/Data-analysis-with-python/blob/master/imgs/%E5%88%A9%E7%94%A8python%E8%BF%9B%E8%A1%8C%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90.png?raw=true) ### 4.2 [Bokeh](https://github.com/bokeh/bokeh)开源项目 Bokeh logotype ### 4.3 <<特征工程入门与实践>> ![特征工程入门与实践](https://github.com/SuperSupeng/Data-analysis-with-python/blob/master/imgs/%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B%E5%85%A5%E9%97%A8%E4%B8%8E%E5%AE%9E%E8%B7%B5.jpg?raw=true) ### 4.4 <<美团机器学习实践>> ![美团机器学习实践](https://github.com/SuperSupeng/Data-analysis-with-python/blob/master/imgs/%E7%BE%8E%E5%9B%A2%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E8%B7%B5.jpg?raw=true) - [购买利用python进行数据分析](https://www.amazon.com/gp/product/1491957662/ref=as_li_tl?ie=UTF8&tag=quantpytho-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=1491957662&linkId=8c3bf87b221dbcd8f541f0db20d4da83) - [购买特征工程入门与实践](https://item.jd.com/12530567.html) - [购买美团机器学习实践](https://item.jd.com/12414240.html) - [bokeh官方网站](https://docs.bokeh.org/en/latest/index.html)