diff --git a/ltt/datas.py b/ltt/datas.py
new file mode 100644
index 0000000000000000000000000000000000000000..1ea44ecf2e60338d28b16adb5674c8fb0348d16d
--- /dev/null
+++ b/ltt/datas.py
@@ -0,0 +1,166 @@
+#经验来源于数据
+#大数据 爬虫 后天
+#模拟吕梁和吕梁的房价数据
+#怎么模拟 城市 面积 户型  是不是学区房 1 2 装修风格 1 2
+datas=[
+    #模拟吕梁的第一类房子
+    {
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8000
+    },
+    {
+        "city": "吕梁",
+        "area": 100,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 7800
+    },
+    {
+        "city":"吕梁",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8200
+    },
+    #模拟吕梁的第二类房子
+    {
+        "city":"吕梁",
+        "area":130,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":8500
+    },
+    {
+        "city": "吕梁",
+        "area": 135,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8300
+    },
+    {
+        "city":"吕梁",
+        "area":140,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":8600
+    },
+#模拟吕梁的第三类房子
+    {
+        "city":"吕梁",
+        "area":130,
+        "rooms":3,
+        "school":2,
+        "style":2,
+        "price":6500
+    },
+    {
+        "city": "吕梁",
+        "area": 135,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 6300
+    },
+    {
+        "city":"吕梁",
+        "area":140,
+        "rooms":3,
+        "school":2,
+        "style":2,
+        "price":5600
+    },
+
+
+    #模拟太原的第一类房子
+    {
+        "city":"太原",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8000
+    },
+    {
+        "city": "太原",
+        "area": 100,
+        "rooms": 2,
+        "school": 1,
+        "style": 1,
+        "price": 7800
+    },
+    {
+        "city":"太原",
+        "area":100,
+        "rooms":2,
+        "school":1,
+        "style":1,
+        "price":8200
+    },
+    #模拟太原的第二类房子
+    {
+        "city":"太原",
+        "area":130,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":8500
+    },
+    {
+        "city": "太原",
+        "area": 135,
+        "rooms": 3,
+        "school": 1,
+        "style": 1,
+        "price": 8300
+    },
+    {
+        "city":"太原",
+        "area":140,
+        "rooms":3,
+        "school":1,
+        "style":1,
+        "price":8600
+    },
+#模拟太原的第三类房子
+    {
+        "city":"太原",
+        "area":130,
+        "rooms":3,
+        "school":2,
+        "style":2,
+        "price":8500
+    },
+    {
+        "city": "太原",
+        "area": 135,
+        "rooms": 3,
+        "school": 2,
+        "style": 2,
+        "price": 8300
+    },
+    {
+        "city":"太原",
+        "area":140,
+        "rooms":3,
+        "school":2,
+        "style":2,
+        "price":8600
+    }
+#3000    10  1000 1300 1500
+#吕梁 2   100   3    1   1
+#3000+1400+3000+2600+3000
+
+#城市   x1  面积 x2  房间数量 x3 学期房 x4 装修 x5
+#a1x1+a2x2+a3x3+a4x4+a5x5=y
+    #[a1,a2,...] 数学模型 机器学习 机器学习软件开发
+#3000+1400+3000+2600+3000
+]
\ No newline at end of file
diff --git a/ltt/predict.py b/ltt/predict.py
new file mode 100644
index 0000000000000000000000000000000000000000..ff6b39cc645ed4504fa194c5eafd5e76021b2ebb
--- /dev/null
+++ b/ltt/predict.py
@@ -0,0 +1,36 @@
+#先安装一个科学计算的框架
+import numpy as np
+from datas import datas
+X=[]
+Y=[]
+cityMark={"吕梁":1,"太原":2}
+for item in datas:
+    single=[]
+    #城市
+    single.append(cityMark[item["city"]])
+    #面积
+    single.append(item["area"])
+    #房间数
+    single.append(item["rooms"])
+    #学区房
+    single.append(item["school"])
+    #装修
+    single.append(item["style"])
+    X.append(single)
+    Y.append(item["price"])
+    X = np.array(X)
+    Y = np.array(Y)
+
+    theta = np.linalg.pinv(X.T.dot(X)).dot(Y)
+
+    print(theta.dot(np.array([2,100,2,1,1])))
+
+
+#a=np.array([[3,2,3],[3,2,3],[3,2,3]])
+#b=np.array([1,2,3])
+#奇异矩阵
+#求矩阵的点乘 转置 逆
+#print(a.T)
+#print(a.dot(b))
+#print(np.linalg.pinv(a))
+