начало

.gitignore

@@ -12,3 +12,6 @@ ipython_config.py
 # Remove previous ipynb_checkpoints
 #   git rm -r .ipynb_checkpoints/
 
+# virtual
+aimenv/
+static/

README.md

@@ -1,3 +1,8 @@
 # AIM-PIbd-32-Puchkina-A-A
 
-МИИ
+-----  МИИ -------
+
+ФИО: Пучкина Анна
+Группа: ПИбд-32
+Вариант: 18 (Цена на мобильные устройства)
+Сслыка на dataset: https://www.kaggle.com/datasets/dewangmoghe/mobile-phone-price-prediction

lab_1/lab1.ipynb

@@ -0,0 +1,57 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Начало лабораторной \n",
+    "\n",
+    "Выгрузка данных из csv файла в датафрейм"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['Unnamed: 0', 'Name', 'Rating', 'Spec_score', 'No_of_sim', 'Ram',\n",
+      "       'Battery', 'Display', 'Camera', 'External_Memory', 'Android_version',\n",
+      "       'Price', 'company', 'Inbuilt_memory', 'fast_charging',\n",
+      "       'Screen_resolution', 'Processor', 'Processor_name'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd \n",
+    "df = pd.read_csv(\"..//static//csv//mobile phone price prediction.csv\")\n",
+    "print(df.columns)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "aimenv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}