datacamp data science

Author: keshavsingh4522

Datacamp/IntermediatePython/.ipynb_checkpoints/Matplotlib-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

Datacamp/IntermediatePython/Matplotlib.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

Datacamp/IntermediatePython/intermediate_python_ch1_slides.pdf

@@ -0,0 +1,91 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "year=[2000,2001,2002,2006,2014,2020]\n",
+    "pop=[1,4,6,2,7,3]\n",
+    "sns.scatterplot(x=year,y=pop)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pop=[1,4,1,2,4,5,6,3,2,1,2,5,6,7,8,8,56,4,2,2,1,2,4,56,7,9,90,6,4,3,2,1,2,4,65,7,98,6,2,7,3]\n",
+    "sns.countplot(y=pop)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}