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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5852d813",
+   "metadata": {},
+   "source": [
+    "作业要求以学号命名，类似\"123456.ipynb\"，不需要加姓名。\n",
+    "\n",
+    "\n",
+    "作业提交的方式见下面链接：\n",
+    "https://blog.csdn.net/sheagu/article/details/122397816"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5d3dca5a",
+   "metadata": {},
+   "source": [
+    "## 题目一\n",
+    "\n",
+    "有一个这样的DNA核酸序列\n",
+    "\n",
+    "“AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC”\n",
+    "\n",
+    "请把这个核酸序列存入一个list，并数一数A、G、C、T各有多少个。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e6521351",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'C': 12, 'A': 20, 'G': 17, 'T': 21}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 你的代码\n",
+    "lst = list('AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC')\n",
+    "my_set = set(lst)\n",
+    "my_dict = {}\n",
+    "for s in my_set:\n",
+    "    my_dict[s] = lst.count(s)\n",
+    "print(my_dict)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "daf8500d",
+   "metadata": {},
+   "source": [
+    "## 题目二\n",
+    "\n",
+    "一个花样滑冰运动员表演后，裁判给表演内容进行评分，分数从0.25分到10分，每次增加值为0.25分。\n",
+    "\n",
+    "试生成一个元组，把可能的得分存入元组，并遍历元组的每一项，打印“一个运动员可能得_____分”。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "90604ebb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "一个运动员可能得0.25分\n",
+      "一个运动员可能得0.5分\n",
+      "一个运动员可能得0.75分\n",
+      "一个运动员可能得1.0分\n",
+      "一个运动员可能得1.25分\n",
+      "一个运动员可能得1.5分\n",
+      "一个运动员可能得1.75分\n",
+      "一个运动员可能得2.0分\n",
+      "一个运动员可能得2.25分\n",
+      "一个运动员可能得2.5分\n",
+      "一个运动员可能得2.75分\n",
+      "一个运动员可能得3.0分\n",
+      "一个运动员可能得3.25分\n",
+      "一个运动员可能得3.5分\n",
+      "一个运动员可能得3.75分\n",
+      "一个运动员可能得4.0分\n",
+      "一个运动员可能得4.25分\n",
+      "一个运动员可能得4.5分\n",
+      "一个运动员可能得4.75分\n",
+      "一个运动员可能得5.0分\n",
+      "一个运动员可能得5.25分\n",
+      "一个运动员可能得5.5分\n",
+      "一个运动员可能得5.75分\n",
+      "一个运动员可能得6.0分\n",
+      "一个运动员可能得6.25分\n",
+      "一个运动员可能得6.5分\n",
+      "一个运动员可能得6.75分\n",
+      "一个运动员可能得7.0分\n",
+      "一个运动员可能得7.25分\n",
+      "一个运动员可能得7.5分\n",
+      "一个运动员可能得7.75分\n",
+      "一个运动员可能得8.0分\n",
+      "一个运动员可能得8.25分\n",
+      "一个运动员可能得8.5分\n",
+      "一个运动员可能得8.75分\n",
+      "一个运动员可能得9.0分\n",
+      "一个运动员可能得9.25分\n",
+      "一个运动员可能得9.5分\n",
+      "一个运动员可能得9.75分\n",
+      "一个运动员可能得10.0分\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 你的代码\n",
+    "my_tuple = ()\n",
+    "score = 0\n",
+    "while True:\n",
+    "    score += 0.25\n",
+    "    if score > 10:\n",
+    "        break\n",
+    "        print(10)       \n",
+    "    my_tuple = my_tuple + (score,)\n",
+    "    print('一个运动员可能得%s分' %score)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c3a4e99",
+   "metadata": {},
+   "source": [
+    "## 题目三\n",
+    "\n",
+    "创建一个字典，列出你所了解的地域美食，比如{'肠粉':{'城市':'广州','原料':'米'}}。当然，你可以做的更丰富一些。\n",
+    "最后遍历你熟悉的美食，打印出，类似如下的句子：“肠粉是广州的一种美食，它的主要原料是米”。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b0026af6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "肠粉是广州的一种美食，它的主要来源是米\n",
+      "螺狮粉是柳州的一种美食，它的主要来源是米\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 你的代码\n",
+    "my_dict = {'肠粉':{'城市':'广州','原料':'米'},\n",
+    "          '螺狮粉':{'城市':'柳州','原料':'米'}}\n",
+    "for key, value in my_dict.items():\n",
+    "    print('%s是%s的一种美食，它的主要来源是%s'%(key, value['城市'], value['原料']))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c3a6bc9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
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+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
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+  "language_info": {
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+    "name": "ipython",
+    "version": 3
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+   "file_extension": ".py",
+   "mimetype": "text/x-python",
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+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.13"
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+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": false,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
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+   "toc_section_display": true,
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+}