Yukta Dadhich(C2)-170418

Data structures and their Operations.ipynb

@@ -0,0 +1,117 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1, 'ananya', 2]\n",
+      "[1, 'ananya', 2, 'MODY UNIVERSITY']\n",
+      "[1, 'ananya', 2]\n"
+     ]
+    }
+   ],
+   "source": [
+    "list = [1, \"ananya\", 1+1]\n",
+    "print(list)\n",
+    "list[1]\n",
+    "list.append(\"MODY UNIVERSITY\")\n",
+    "print(list)\n",
+    "list.pop()\n",
+    "print(list)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{1: 'a', 2: 'b'}\n",
+      "dict_keys([1, 2])\n",
+      "dict_values(['a', 'b'])\n",
+      "0 1 a\n",
+      "1 2 b\n",
+      "1 a\n",
+      "2 b\n",
+      "True\n",
+      "{2: 'b'}\n",
+      "False\n"
+     ]
+    }
+   ],
+   "source": [
+    "dictionary = { 1:'a', 2:'b'}\n",
+    "print(dictionary)\n",
+    "print(dictionary.keys())\n",
+    "print(dictionary.values())\n",
+    "for index, value in enumerate(dictionary): \n",
+    "    print (index, value , dictionary[value])\n",
+    "for i in dictionary:\n",
+    "    print (\"%d %s\" %(i, dictionary[i]))\n",
+    "print(1 in dictionary)\n",
+    "del dictionary[1]\n",
+    "print(dictionary)\n",
+    "print(1 in dictionary)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1, 'ananya', 3)\n",
+      "ananya\n",
+      "{1, 2, 3, 4, 5, 6, 7, 8, 9}\n",
+      "set = {1, 2, 3, 4, 5, 6, 7, 8, 9}\n"
+     ]
+    }
+   ],
+   "source": [
+    "tuple = (1,\"ananya\", 1+2)\n",
+    "print(tuple)\n",
+    "print(tuple[1])\n",
+    "tuple[2]\n",
+    "\n",
+    "set = set()\n",
+    "for i in range(1,10):\n",
+    "    set.add(i)\n",
+    "print(set)\n",
+    "print(\"set =\",set)\n",
+    "\n"
+   ]
+  }
+ ],
+ "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

Installation of various enviornments in python.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Aim:Learning about the tools and installation of various environment in python.\n",
+    "Jupyter Notebook\n",
+    "Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.\n",
+    "The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.\n",
+    "Functions:\n",
+    "Language of choice\n",
+    "Share Notebooks\n",
+    "Interactive Output\n",
+    "Big Data integration\n",
+    "\n",
+    "Installing Jupyter using Anaconda:-\n",
+    "For new users, we highly recommend installing Anaconda. Anaconda conveniently installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.\n",
+    "Use the following installation steps:\n",
+    "Download Anaconda. We recommend downloading Anaconda’s latest Python 3 version (currently Python 3.5).\n",
+    "Install the version of Anaconda which you downloaded, following the instructions on the download page.\n",
+    "Once you have installed Jupyter Notebook. To run the notebook:\n",
+    "Click on launch jupyter notebook after starting Anaconda\n",
+    "\n"
+   ]
+  }
+ ],
+ "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}