【资源目录】:
├──1-环境搭建和Numpy入门
| ├──安装包和安装教程.zip 1013.65M
| └──笔记文件.zip 525.10kb
├──10-线性代数与IO
| └──笔记
| | └──NumPy 线性代数与IO.md 7.95kb
├──11-Pandas介绍与使用
| └──笔记 (1)
| | ├──上课代码
| | | └──nameno1.npy 0.16kb
| | ├──图片
| | | ├──image-20241118132946794.png 8.99kb
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| | └──Pandas教程.md 32.24kb
├──12-Pandas结构与函数
| └──笔记 (1)
| | ├──上课代码
| | | └──nameno1.npy 0.16kb
| | ├──图片
| | | ├──image-20241118132946794.png 8.99kb
| | | ├──image-20241118140422241.png 33.62kb
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| | └──Pandas教程.md 32.24kb
├──13-Pandas数据读取
| ├──上课代码
| | └──Untitled.ipynb 11.38kb
| ├──图片
| | ├──image-20241121215945013.png 11.60kb
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| └──Python Pandas读取文件.md 8.45kb
├──14-Pandas数据清洗
| └──笔记 (1)
| | ├──上课代码
| | | └──Untitled1.ipynb 54.56kb
| | ├──图片
| | | ├──image-20241123135534936.png 31.51kb
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| | | └──image-20241123150108327.png 94.11kb
| | └──pandas数据清洗.md 10.00kb
├──15-Matplotlib绘图
| └──笔记 (1)
| | ├──上课代码
| | | └──Untitled2.ipynb 40.79kb
| | ├──图片
| | | ├──image-20241125133751307.png 8.28kb
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| | └──Matplotlib教程.md 20.08kb
├──16-网格格式与标题和多图
| ├──上课代码
| | └──Untitled2.ipynb 53.08kb
| ├──图片
| | ├──image-20241128220502157.png 51.53kb
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| └──Matplotlib 绘图线.md 6.41kb
├──17-饼图与直方图
| └──笔记 (1)
| | ├──图片
| | | ├──af3ddff7580ee52a9ee24d7368ab1dbc.png 12.21kb
| | | ├──ccfa3b47cfa040d43b899cad1acbd6bf-1.png 361.04kb
| | | ├──hist-pandas.png 16.33kb
| | | ├──image-20240509134207016.png 107.72kb
| | | ├──img_matplotlib_pie1.png 12.83kb
| | | ├──map.jpeg 96.74kb
| | | ├──pl-pie-2.png 37.48kb
| | | ├──pl_pie-3.png 55.22kb
| | | ├──readimg-crop.png 57.06kb
| | | ├──readimg-red.png 160.15kb
| | | ├──runoob-imread-1.png 170.94kb
| | | ├──runoob-pie-test-1.png 18.21kb
| | | ├──runoob-test-hist-2.png 15.19kb
| | | ├──runoob-test-hist.png 12.13kb
| | | ├──runoob-test-imshow-1.png 26.01kb
| | | ├──runoob-test-imshow-2.png 6.26kb
| | | ├──runoob-test-imshow-3.png 12.12kb
| | | ├──runoob-test-imshow-5.png 10.56kb
| | | ├──runoob-test-imshow-6.png 33.55kb
| | | └──runoob-test.png 32.58kb
| | └──Matplotlib 饼图.md 14.22kb
├──18-折线图与散点图
| ├──图片
| | ├──0a975538f9c7a04566942748e6a1737f.png 122.66kb
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| └──1.pyecharts模块介绍.md 8.61kb
├──19-pyecharts多图使用
| └──饼图.md 1.41kb
├──2-数据类型和数据属性
| ├──笔记
| | ├──上课代码
| | | └──Untitled1.ipynb 9.34kb
| | └──NumPy 教程.md 12.60kb
| └──作业.txt 0.06kb
├──20-数据大屏可视化和工具
| └──笔记 (1)
| | ├──图片
| | | ├──image-20241021152055986.png 143.73kb
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| | └──了解数据大屏.md 24.52kb
├──21-奥运会奖牌项目
| └──笔记 (1)
| | ├──上课代码
| | | └──Untitled17.ipynb 22.77kb
| | ├──数据表
| | | ├──bronzes.xlsx 11.00kb
| | | ├──golds.xlsx 10.96kb
| | | ├──nations.xlsx 11.36kb
| | | └──silvers.xlsx 11.03kb
| | ├──图片
| | └──2020东京奥运会奖牌可视化项目分析案例.md 4.06kb
├──3-索引和切片
| └──NumPy创建区间数组.md 6.70kb
├──4-广播和遍历
| ├──笔记
| | ├──上课代码
| | | └──Untitled3.ipynb 10.22kb
| | └──NumPy高级索引.md 9.40kb
| └──作业.txt 0.05kb
├──5-数组操作
| └──笔记
| | ├──上课代码
| | | └──Untitled4.ipynb 10.58kb
| | └──Numpy数组操作.md 25.53kb
├──6-位运算与字符串函数
| └──笔记
| | ├──上课代码
| | | └──Untitled5.ipynb 7.75kb
| | └──NumPy 位运算与字符串.md 13.34kb
├──7-算术函数与数学函数
| ├──上课代码
| | └──Untitled6.ipynb 9.03kb
| └──算术函数与数学函数和统计函数.md 18.86kb
├──8-排序条件
| └──笔记
| | └──排序和条件筛选.md 6.61kb
├──9.副本视图和矩阵库
| └──笔记
| | ├──图片
| | | ├──118142-7ab3daa7f65551e6.jpg 4.71kb
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| | | ├──color_abbreviation.jpg 20.97kb
| | | ├──histogram_plot.jpg 24.19kb
| | | ├──matplotlib_demo.jpg 23.83kb
| | | ├──Matrix_transpose.gif 78.87kb
| | | ├──sine_wave.jpg 29.69kb
| | | └──sub_plot.jpg 40.73kb
| | └──副本和视图与矩阵库.md 11.93kb
└──录播链接.txt 3.10kb
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