Python-Basic-notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Python Basics\n",
    "\n",
    "This is a collection of exercises that I wrote as a refresher of key Python features.\n",
    "\n",
    "## Built-in datatypes and variable binding\n",
    "Python uses [dynamic typing](http://stackoverflow.com/questions/11328920/is-python-strongly-typed)dynamic typing</a>. In short, this means that the type of data in a variable is not explicitly identified in a program, like it is in C++ or Java. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "is 7/2\n"
     ]
    }
   ],
   "source": [
    "x=2\n",
    "print ('is 7/2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ints and floats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x=30\n",
    "type(x)\n",
    "z=x/y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### boolean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a is\n",
      "True\n",
      "b is\n",
      "False\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# a is True\n",
    "# b is False\n",
    "# a and b is False\n",
    "# a or b is True\n",
    "a = True\n",
    "b = True\n",
    "b = not a\n",
    "print ('a is'), print(a)\n",
    "print ('b is'), print(b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello world\n",
      "['Hello', 'world']\n",
      "Hello_world\n"
     ]
    }
   ],
   "source": [
    "a = 'Hello'\n",
    "b = 'world'\n",
    "c = a +' '+ b\n",
    "print(c)\n",
    "words = c.split()\n",
    "print (words)\n",
    "print ('_'.join(words))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5]\n",
      "[1, 2, 3, 4, 5, 1, 2, 3, 4, 5]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\n"
     ]
    }
   ],
   "source": [
    "x = [1, 2, 3, 4, 5]\n",
    "print (x)\n",
    "print (x * 2)\n",
    "print([0] * 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]\n",
      "[(0, 0), (1, 1), (2, 4), (3, 9), (4, 16), (5, 25), (6, 36), (7, 49), (8, 64), (9, 81)]\n"
     ]
    }
   ],
   "source": [
    "#List comprehension\n",
    "print ([x*x for x in range(0,10)])\n",
    "print ([(x,x*x) for x in range(0,10)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Looping (for, while, reduce)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5050\n"
     ]
    }
   ],
   "source": [
    "#for\n",
    "#sum integers from 1 to 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5050\n"
     ]
    }
   ],
   "source": [
    "#while\n",
    "#sum integers from 1 to 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5050\n"
     ]
    }
   ],
   "source": [
    "#reduce\n",
    "#sum integers from 1 to 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5050\n"
     ]
    }
   ],
   "source": [
    "#Python's sum\n",
    "print sum(range(1,101))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5050.0\n"
     ]
    }
   ],
   "source": [
    "#preferred way to sum floating point (faster)\n",
    "print math.fsum(range(1,101))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conditional execution (if)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dictionaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "104.34\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{' ': 8, '.': 1, 'T': 1, 'a': 1, 'c': 1, 'b': 1, 'e': 3, 'd': 1, 'g': 1, 'f': 1, 'i': 1, 'h': 2, 'k': 1, 'j': 1, 'm': 1, 'l': 1, 'o': 4, 'n': 1, 'q': 1, 'p': 1, 's': 1, 'r': 2, 'u': 2, 't': 1, 'w': 1, 'v': 1, 'y': 1, 'x': 1, 'z': 1}\n"
     ]
    }
   ],
   "source": [
    "#distribution of characters in a string\n",
    "s = \"The quick brown fox jumps over the lazy dog.\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0!= 1\n",
      "1!= 1\n",
      "2!= 2\n",
      "3!= 6\n",
      "4!= 24\n"
     ]
    }
   ],
   "source": [
    "def factorial(n):\n",
    "  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16\n"
     ]
    }
   ],
   "source": [
    "def gcd(a, b):\n",
    "# write this function...\n",
    "    \n",
    "    \n",
    "print gcd(144, 1024)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}