update major classes

docs/About/index.md

@@ -17,7 +17,7 @@ hide:
 - [**Blog**](../Blog)：博客板块，记录日常的博客。
 - [**Python**](../Python)：Python板块，包含基础、高级语法知识和各种库的使用。
 - [**Project**](../Project)：项目板块，本人的一些开源项目。
-- [**Statistics**](../Statistics)：统计学相关。
+- [**Statistics**](../Statistics)：鄙人专业相关。
 - [**SomeMath**](../SomeMath)：数学相关。
 - [**PlayGround**](../Playground)：用来调试mkdocs-material提供的markdown的扩展语法
 - [**Tags**](../Tags/)：👇

docs/Project/AirPrint-with-Python.md

@@ -1,5 +1,4 @@
 ---
-title: 基于Python的AirPrint虚拟打印机
 tags:
 - python项目
 - 开源项目

docs/Project/Course-Selection-System.md

@@ -1,5 +1,4 @@
 ---
-title: 基于Django的选课系统
 tags:
 - Django
 - python项目

docs/Project/plt-gallery.md

@@ -1,5 +1,4 @@
 ---
-title: 基于PyScript的matplotlib画廊
 tags:
 - PyScript
 - 开源项目

docs/Project/pymd.md

@@ -2,7 +2,6 @@
 tags:
 - python项目
 - 开源项目
-title: 基于Python的markdown渲染器
 ---
 
 # pymd

docs/Project/qrq.md

@@ -2,7 +2,6 @@
 tags:
 - JavaScript
 - 开源项目
-title: chrome二维码生成扩展
 ---
 
 # qrq

docs/Python/ThirdPartyLibrary/matplotlib/index.md

@@ -4,7 +4,148 @@ tags:
 - matplotlib
 hide:
 - tags
-- toc
 ---
 
-# matplotlib
+# matplotlib
+
+## 简介
+
+Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. **Matplotlib makes easy things easy and hard things possible**.
+
+加粗的这句话说的非常好，如果读者看过一些古老的Python教科书，一定会知道Python还有一个知名的绘画库：turtle，这是一个非常有趣的库但是非常难用，很简单的图也需要很复杂的代码才能画出来。相比之下，matplotlib真正做到了：简单的几句话就搞定，再复杂的图也能搞定。
+
+咱也算一个统计人，下面这种分布图还是经常画的。R、MATLAB、Excel啥的都用过一点。个人觉得还是matplotlib更自由，画起来得心应手。
+<figure markdown>
+![](assets/2024-03-12-15-09-00.png){width=400}
+<caption>直方图+盒子图</caption>
+</figure>
+
+像下面这种复杂的图，也能画（但我是没画过）：
+
+<figure markdown>
+![](https://matplotlib.org/stable/_images/sphx_glr_sankey_rankine_001_2_00x.png){width=400}
+</figure>
+
+!!! question "为什么叫matplotlib"
+    Copy from [matplotlib history](https://matplotlib.org/stable/users/project/history.html)
+
+    Matplotlib is a library for making 2D plots of arrays in Python. Although it has **its origins in emulating the MATLAB graphics commands**, it is independent of MATLAB, and can be used in a Pythonic, object-oriented way. Although Matplotlib is written primarily in pure Python, it makes heavy use of NumPy and other extension code to provide good performance even for large arrays.
+    ...
+
+## 两套api
+初学者可能会很迷惑的点就是matplotlib画图是有两套交互方式的（虽然本质上他们相同），我们之后也会分别介绍。
+### [函数式：plt](./plt)
+这种方式是最常见的，也是简单任务下最方便快捷的方式，缺点就是很多操作是不透明的、全局的，plt的处理方法可能和你预想的不同。
+
+使用方法就是调用`matplotlib.pyplot`提供的各种api在默认的画布上绘制。
+```python
+import matplotlib.pyplot as plt
+plt.plot(x, y)
+plt.title("Sample plot")
+plt.show()
+```
+### [面向对象式：axes](./subplots)
+这种方式的自由度更高，可以手动控制`Figure`和`Axes`对象。
+```python
+import matplotlib.pyplot as plt
+fig, ax = plt.subplots()
+ax.plot(x, y)
+ax.set_title("Sample plot")
+plt.show()
+```
+## 库的架构
+
+```
+Modules include:
+
+:mod:`matplotlib.axes`
+    The `~.axes.Axes` class.  Most pyplot functions are wrappers for
+    `~.axes.Axes` methods.  The axes module is the highest level of OO
+    access to the library.
+
+:mod:`matplotlib.figure`
+    The `.Figure` class.
+
+:mod:`matplotlib.artist`
+    The `.Artist` base class for all classes that draw things.
+
+:mod:`matplotlib.lines`
+    The `.Line2D` class for drawing lines and markers.
+
+:mod:`matplotlib.patches`
+    Classes for drawing polygons.
+
+:mod:`matplotlib.text`
+    The `.Text` and `.Annotation` classes.
+
+:mod:`matplotlib.image`
+    The `.AxesImage` and `.FigureImage` classes.
+
+:mod:`matplotlib.collections`
+    Classes for efficient drawing of groups of lines or polygons.
+
+:mod:`matplotlib.colors`
+    Color specifications and making colormaps.
+
+:mod:`matplotlib.cm`
+    Colormaps, and the `.ScalarMappable` mixin class for providing color
+    mapping functionality to other classes.
+
+:mod:`matplotlib.ticker`
+    Calculation of tick mark locations and formatting of tick labels.
+
+:mod:`matplotlib.backends`
+    A subpackage with modules for various GUI libraries and output formats.
+
+The base matplotlib namespace includes:
+
+`~matplotlib.rcParams`
+    Default configuration settings; their defaults may be overridden using
+    a :file:`matplotlibrc` file.
+
+`~matplotlib.use`
+    Setting the Matplotlib backend.  This should be called before any
+    figure is created, because it is not possible to switch between
+    different GUI backends after that.
+
+The following environment variables can be used to customize the behavior:
+
+:envvar:`MPLBACKEND`
+    This optional variable can be set to choose the Matplotlib backend. See
+    :ref:`what-is-a-backend`.
+
+:envvar:`MPLCONFIGDIR`
+    This is the directory used to store user customizations to
+    Matplotlib, as well as some caches to improve performance. If
+    :envvar:`MPLCONFIGDIR` is not defined, :file:`{HOME}/.config/matplotlib`
+    and :file:`{HOME}/.cache/matplotlib` are used on Linux, and
+    :file:`{HOME}/.matplotlib` on other platforms, if they are
+    writable. Otherwise, the Python standard library's `tempfile.gettempdir`
+    is used to find a base directory in which the :file:`matplotlib`
+    subdirectory is created.
+```
+
+## 二次封装
+matplotlib作为Python最火爆的画图库，有很多其他的库对它进行了二次封装：
+
+A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).
+
+我用过的例如：[seaborn](https://seaborn.pydata.org/)、[plotnine](https://plotnine.readthedocs.io/en/stable/)都是开箱即用的好库。相比matplotlib的默认样式更加美观，但是自由度有所下降。
+
+## 依赖
+matplotlib的最新版本是`3.8.3`，有以下依赖：
+```toml
+dependencies = [
+    "contourpy >= 1.0.1",
+    "cycler >= 0.10",
+    "fonttools >= 4.22.0",
+    "kiwisolver >= 1.3.1",
+    "numpy >= 1.23",
+    "packaging >= 20.0",
+    "pillow >= 8",
+    "pyparsing >= 2.3.1",
+    "python-dateutil >= 2.7",
+    "importlib-resources >= 3.2.0; python_version < '3.10'",
+]
+requires-python = ">=3.9"
+```

docs/Python/ThirdPartyLibrary/matplotlib/plt.md

@@ -1,7 +1,8 @@
 ---
 tags:
-- python第三方库
 - matplotlib
 ---
 
-# plt
+# plt everything
+
+matplotlib的函数式调用。

docs/Python/ThirdPartyLibrary/matplotlib/subplots.md

@@ -1,7 +1,8 @@
 ---
 tags:
-- python第三方库
 - matplotlib
 ---
 
-# axes and figure
+# Axes and Figure
+
+matplotlib的面向对象式调用。

docs/Python/ThirdPartyLibrary/numpy/index.md

@@ -7,4 +7,4 @@ hide:
 - toc
 ---
 
-# numpy
+# numpy

docs/Python/ThirdPartyLibrary/numpy/ndarray.md

@@ -1,6 +1,5 @@
 ---
 tags:
-- python第三方库
 - numpy
 ---
 

docs/Python/ThirdPartyLibrary/pandas/dataframe.md

@@ -1,6 +1,5 @@
 ---
 tags:
-- python第三方库
 - pandas
 ---
 

docs/Python/ThirdPartyLibrary/pytorch/model.md

@@ -0,0 +1,6 @@
+---
+tags:
+- pytorch
+---
+
+# 训练一个模型

docs/Python/ThirdPartyLibrary/pytorch/multi_gpu.md

@@ -1,6 +1,5 @@
 ---
 tags:
-- python第三方库
 - pytorch
 ---
 

docs/Python/ThirdPartyLibrary/pytorch/tensor.md

@@ -1,6 +1,5 @@
 ---
 tags:
-- python第三方库
 - pytorch
 ---
 

docs/Statistics/Calculus.md → docs/Statistics/basic/Calculus.md

@@ -4,6 +4,7 @@ tags:
 ---
 
 # 数学分析
+> MATH120016+MATH120017，数学分析B，张永跃、严金海
 
 全世界大学生多多少少都应该学一点的科目，不等式和极限的艺术。
 

docs/Statistics/Linear_Algebra.md → docs/Statistics/basic/Linear_Algebra.md

@@ -4,6 +4,7 @@ tags:
 ---
 
 # 线性代数
+> MATH120044，线性代数，吴肖乐
 
 魅力无穷的一门课。
 

docs/Statistics/Operations_Research.md → docs/Statistics/basic/Operations_Research.md

@@ -4,6 +4,7 @@ tags:
 ---
 
 # 运筹学
+> MANA130005，运筹学，周蓉
 
 和统计沾边，但本身是其他学科的分支。
 

docs/Statistics/Probability_Theory_and_Mathematical_Statistics.md → docs/Statistics/basic/Probability_Theory_and_Mathematical_Statistics.md

@@ -4,6 +4,8 @@ tags:
 ---
 
 # 概率论与数理统计
+> MANA130001，概率论与数理统计，徐勤丰
+
 这算是统计系入门前的一门通识课了，课程内容可大可小，一般理工科专业都会修读。
 
 ## 主要内容

docs/Statistics/Statistical_Software.md → docs/Statistics/basic/Statistical_Software.md

@@ -4,6 +4,10 @@ tags:
 ---
 
 # 统计软件
+> MANA130076，统计软件，沈娟
+
+!!! info "缘分啊"
+    沈老师居然是我导的夫人，并且我选这门课的那个学期沈老师刚好怀孕。只能说缘妙不可言！！
 
 应用类型的课程，主讲R语言、SAS和Python等应用程序的统计实践。
 

docs/Statistics/elective/Algorithm.md

@@ -0,0 +1,9 @@
+---
+tags:
+- 统计选修课
+---
+
+# 算法导论
+> COMP119004，计算思维，汪卫、黄萱菁
+
+计算机算法入门。

docs/Statistics/Computational_Statistics.md → docs/Statistics/elective/Computational_Statistics.md

@@ -1,8 +1,9 @@
 ---
 tags:
-- 统计基础课
+- 统计选修课
 ---
 
 # 统计计算
+> MANA130368，统计计算，蒋飞宇
 
 很重要的统计应用课，主讲数值算法、模拟算法。

docs/Statistics/elective/DSPython.md

@@ -0,0 +1,9 @@
+---
+tags:
+- 统计选修课
+---
+
+# 数据科学编程基础
+> MANA130398，数据科学编程基础，孙海
+
+numpy+pandas+matplotlib三剑客。

docs/Statistics/elective/Data_Mining.md

@@ -0,0 +1,9 @@
+---
+tags:
+- 统计选修课
+---
+
+# 数据挖掘
+> MANA130374，数据挖掘原理与技术，王有为
+
+主讲处理大数据的各类算法。

docs/Statistics/elective/Database.md

@@ -0,0 +1,9 @@
+---
+tags:
+- 统计选修课
+---
+
+# 数据库
+> MANA130373，数据库与企业数据管理，张成洪
+
+数据库、SQL入门。

docs/Statistics/elective/OpenMMLab.md

@@ -0,0 +1,9 @@
+---
+tags:
+- 统计选修课
+---
+
+# OpenMMLab实践
+> 华五AI+X微专业，商汤
+
+深度学习第一课。