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Programming/Python_for_geographers/notebooks/01_variables.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# ცვლადები"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Strings"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A string is a sequence of letters, numbers, and punctuation marks - or commonly known as **text**\n",
+    "\n",
+    "In Python you can create a string by typing letters between single or double quotation marks."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "San Francisco California\n"
+     ]
+    }
+   ],
+   "source": [
+    "city = 'San Francisco'\n",
+    "state = 'California'\n",
+    "print(city, state)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mFailed to start the Kernel. \n",
+      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
+     ]
+    }
+   ],
+   "source": [
+    "print(city +' '+state)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "San Francisco,California\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(city + ',' + state)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Numbers\n",
+    "\n",
+    "Python can handle several types of numbers, but the two most common are:\n",
+    "\n",
+    "- **int**, which represents integer values like 100, and\n",
+    "- **float**, which represents numbers that have a fraction part, like 0.5\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "population = 881549\n",
+    "latitude = 37.7739\n",
+    "longitude = -121.5687"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'float'>\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(type(latitude))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'float'>\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(type(latitude))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "284.6832\n"
+     ]
+    }
+   ],
+   "source": [
+    "elevation_feet = 934\n",
+    "elevation_meters = elevation_feet * 0.3048\n",
+    "print(elevation_meters)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "18800.362550650458\n"
+     ]
+    }
+   ],
+   "source": [
+    "area_sqmi = 46.89\n",
+    "density = population / area_sqmi\n",
+    "print(density)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise\n",
+    "\n",
+    "We have a variable named `distance_km` below with the value `4135` - indicating the straight-line distance between San Francisco and New York in Kilometers. Create another variable called `distance_mi` and store the distance value in miles.\n",
+    "\n",
+    "- Hint1: 1 mile = 1.60934 kilometers\n",
+    "\n",
+    "Add the code in the cell below and run it. The output should be 2569.37"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2569.376266046951\n"
+     ]
+    }
+   ],
+   "source": [
+    "distance_km = 4135\n",
+    "distance_mi = distance_km / 1.60934\n",
+    "print(distance_mi)\n",
+    "# Remove this line and add code here"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "----"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.9 (XPython)",
+   "language": "python",
+   "name": "xpython"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}