Appendix-A-Part-2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A.2 - Namespaces and Scopes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = {\"a\", \"b\", \"c\"}\n",
    "a = \"I'm a String\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = [1, 2, 3, 4, 5]\n",
    "b = a\n",
    "b[0] = 6\n",
    "print(a)\n",
    "print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def method():\n",
    "    print(\"Inside method\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "type(method)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def method():\n",
    "    a = 1\n",
    "    b = \"I'm a string\"\n",
    "    def func(c):\n",
    "        print(\"c = \", c)\n",
    "    print(\"vars\", vars())\n",
    "    print(\"locals\", locals())\n",
    "    print(\"dir\", dir())\n",
    "method()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dir(__builtin__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dir(list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "v1 = 10\n",
    "v2 = 20\n",
    "def method(param1):\n",
    "    param2 = 30\n",
    "    def sum():\n",
    "        return v1 + v2 + param1 + param2\n",
    "    print(sum())\n",
    "method(5)\n",
    "print(sum([v1, v2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def func():\n",
    "    my_variable = 10\n",
    "    print(my_variable)\n",
    "func()\n",
    "print(my_variable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = 10\n",
    "\n",
    "def outer():\n",
    "    t = 20\n",
    "    \n",
    "    def inner():\n",
    "        t = 30\n",
    "        print(\"inner - t = \", t)\n",
    "    \n",
    "    inner()\n",
    "    print(\"outer - t = \", t)\n",
    "\n",
    "outer()\n",
    "print(\"global - t = \", t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = 10\n",
    "\n",
    "def outer():\n",
    "    t = 20\n",
    "    \n",
    "    def inner():\n",
    "        global t\n",
    "        t = 30\n",
    "        print(\"inner - t = \", t)\n",
    "    \n",
    "    inner()\n",
    "    print(\"outer - t = \", t)\n",
    "\n",
    "outer()\n",
    "print(\"global t = \", t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def func(p):\n",
    "    print(\"id(p) before = \", id(p))\n",
    "    p = 10\n",
    "    print(\"id(p) after = \", id(p))\n",
    "\n",
    "v = [1, 2, 3]\n",
    "print(\"id(v) = \", id(v))\n",
    "func(v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "func([5, 6, 7])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "globals()[\"math\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sympy as sp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "globals()[\"sp\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sympy import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "globals()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from math import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sin(Symbol(\"x\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sympy as sp\n",
    "sp.sin(sp.Symbol(\"x\"))"
   ]
  },
  {
   "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"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}