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diff --git a/Programming_in_C_using_ANSI_C/KamthaneChapter15.ipynb b/Programming_in_C_using_ANSI_C/KamthaneChapter15.ipynb index 92842ba6..5a99346e 100755 --- a/Programming_in_C_using_ANSI_C/KamthaneChapter15.ipynb +++ b/Programming_in_C_using_ANSI_C/KamthaneChapter15.ipynb @@ -1,3 +1,728 @@ +<<<<<<< HEAD +{ + "metadata": { + "name": "", + "signature": "sha256:23cf65a359a2231e3abd5faae195b73ed4d5756e6083812ae87c387c1bb53f5a" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h1>Chapter 15: Additional in 'C'<h1>" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.1, Page number: 505<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Allocate memory to pointer variable. \n", + "\n", + "import sys\n", + "\n", + "#Variable initialization\n", + "j = 0\n", + "k = int(raw_input(\"How many number : \"))\n", + "p = [0 for i in range(0,k)]\n", + "\n", + "#in python, all variables are allocated using dynamic memory allocation technique and no\n", + "#malloc function and pointer concept is available in python.\n", + "\n", + "#Read the numbers\n", + "while j != k:\n", + " p[j] = int(raw_input(\"Number %d = \"%(j+1)))\n", + " j += 1\n", + " \n", + "j = 0\n", + "\n", + "#Result\n", + "sys.stdout.write(\"The numbers are : \")\n", + "while j != k:\n", + " sys.stdout.write(\"%d\\t\"%(p[j]))\n", + " j += 1\n", + " \n" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "How many number : 4\n" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Number 1 = 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Number 2 = 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Number 3 = 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Number 4 = 4\n" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "The numbers are : 1\t2\t3\t4\t" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.2, Page number: 506<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Memory allocation to pointer variable. \n", + "\n", + "import sys\n", + "\n", + "#Variable initialization\n", + "j = 0\n", + "k = int(raw_input(\"How many Number : \"))\n", + "p = [0 for i in range(0,k)]\n", + "\n", + "#in python, all variables are allocated using dynamic memory allocation technique and no\n", + "#calloc function and pointer concept is available in python.\n", + "\n", + "#Read the numbers\n", + "while j != k:\n", + " p[j] = int(raw_input(\"Number %d = \"%(j+1)))\n", + " j += 1\n", + " \n", + "j = 0\n", + "\n", + "#Result\n", + "sys.stdout.write(\"The numbers are : \")\n", + "while j != k:\n", + " sys.stdout.write(\"%d\\t\"%(p[j]))\n", + " j += 1\n", + " " + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "How many Number : 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Number 1 = 45\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Number 2 = 58\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Number 3 = 98\n" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "The numbers are : 45\t58\t98\t" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.3, Page number: 507<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Reallocate memory \n", + "\n", + "import sys\n", + "\n", + "#Variable Initialization\n", + "str1 = \"India\"\n", + "\n", + "#in python, value tagged method is used for data storage instead of memory tagging.\n", + "#no realloc function is in python\n", + "\n", + "#Result\n", + "sys.stdout.write(\"str = %s\"%(str1))\n", + "str1 = \"Hindustan\"\n", + "sys.stdout.write(\"\\nNow str = %s\"%(str1))\n" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "str = India\n", + "Now str = Hindustan" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.4, Page number: 508<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Display unused memory \n", + "\n", + "import psutil\n", + "\n", + "psutil.phymem_usage()\n", + "\n", + "#There is no coreleft() function in python. phymem_usage function in the module psutil gives the \n", + "#status and usage of physical memory in python." + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 6, + "text": [ + "usage(total=3165270016L, used=987840512L, free=2177429504L, percent=31.2)" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.5, Page number: 510<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Linked list\n", + "\n", + "import sys\n", + "\n", + "#Variable Initialziation\n", + "ch = 'y'\n", + "p = 0\n", + "q = []\n", + "\n", + "#Function Definitions\n", + "def gen_rate(m):\n", + " q.append(m)\n", + " \n", + "def show():\n", + " print q\n", + " \n", + "def addatstart(m):\n", + " q.insert(0,m)\n", + " \n", + "def append(m,po):\n", + " q.insert(po,m)\n", + "\n", + "def erase(d):\n", + " q.remove(d)\n", + " \n", + "def count():\n", + " print len(q)\n", + " \n", + "def descending():\n", + " q.sort(reverse=True)\n", + " \n", + "#Get choice\n", + "while ch == 'y':\n", + " n = int(raw_input(\"1. Generate\\n2. Add at starting\\n3. Append\\n4. Delete\\n5. Show\\n6.Count\\n7.Descending\\nEnter your choice: \"));\n", + " #There is no switch statement in python\n", + " if n == 1:\n", + " i = int(raw_input(\"How many node you want : \"))\n", + " for j in range(0,i):\n", + " m = int(raw_input(\"Enter the element : \"))\n", + " gen_rate(m)\n", + " show()\n", + " else:\n", + " if n == 2:\n", + " m = int(raw_input(\"Enter the element : \"))\n", + " addatstart(m)\n", + " show()\n", + " else:\n", + " if n == 3:\n", + " m = int(raw_input(\"Enter the element and position \"))\n", + " po = int(raw_input(\"Enter the element and position\"))\n", + " append(m,po)\n", + " show()\n", + " else:\n", + " if n == 4:\n", + " d = int(raw_input(\"Enter the number for deletion : \"))\n", + " erase(d)\n", + " show()\n", + " else:\n", + " if n == 5:\n", + " show()\n", + " else:\n", + " if n == 6:\n", + " count()\n", + " else:\n", + " if n == 7:\n", + " descending()\n", + " show()\n", + " else:\n", + " sys.stdout.write(\"Enter value between 1 to 7\")\n", + " \n", + " ch = raw_input(\"Do u wnat to continue (y/n)\")\n", + " " + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "1. Generate\n", + "2. Add at starting\n", + "3. Append\n", + "4. Delete\n", + "5. Show\n", + "6.Count\n", + "7.Descending\n", + "Enter your choice: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "How many node you want : 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Enter the element : 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Enter the element : 5\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Enter the element : 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Enter the element : 7\n" + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "[1, 5, 4, 7]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "stream": "stdout", + "text": [ + "Do u wnat to continue (y/n)n\n" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.6, Page number: 518<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Draw circle, line and arc using graphics function\n", + "\n", + "%matplotlib inline\n", + "import pylab\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# matplotlib package is used for graphics\n", + "#Give proportionate sizes to draw\n", + "#draw circle\n", + "circle2=plt.Circle((.5,.5),.2,color='b')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(circle2)\n", + "\n", + "\n", + "#draw line\n", + "figure()\n", + "pylab.plot([210,110],[150,150])\n", + "\n", + "#Draw ellipse\n", + "figure()\n", + "from matplotlib.patches import Ellipse\n", + "e = Ellipse(xy=(35, -50), width=10, height=5, linewidth=2.0, color='g')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(e)\n", + "e.set_clip_box(plt.axes().bbox)\n", + "e.set_alpha(0.7)\n", + "pylab.xlim([20, 50])\n", + "pylab.ylim([-65, -35])" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 5, + "text": [ + "(-65, -35)" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": 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2my1pwYIFl/xd50S0F198cfsrr7zyK5nGb6z+yTB+27Zt22U0GmuTkpJs8fHx\njUFBQfZHH330HVnGbqz+PfbYY4dkGLuxWmFh4c5XX311izfjd8dn9EII5YknnjiYkZFR/swzz/x+\ncP3atWuPvf322xsA4O23396Qn59/5E7XcifcrH+NjY0Jg8vvv//+jzMzMy/5p0LftLS0RA/+6etw\nOPQlJSV5JpPJKsv43ax/wz8RPl3Hb9euXc/V1tYm2my25Hffffen999//yfvvPPOY7KM3Vj9O3To\n0OOy/N/r6ekJ6urqCgUAu90efOLEidWZmZmXvBq/O/0qdPr06WWKoniysrLKhp/u1NraGrly5cqP\np/spXmP176OPPvrBY489digzM/PiwoULP1+3bt2RpqamOH/X6k27ePFipslkupCVlVWWmZl5cc+e\nPc8KMXCKlwzjd7P+yTJ+g81isSwfPCtFlrEb3k6ePGke7N+jjz76jgxjV11dnZyVlVWWlZVVNn/+\n/Mu7du3a5u34KUJMy8NzRER0m3iHKSIiyTHoiYgkx6AnIpIcg56ISHIMeiIiyTHoiYgk9/8B1dqr\nlLRzGX0AAAAASUVORK5CYII=\n", + "text": [ + "<matplotlib.figure.Figure at 0x2610890>" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.7, Page number: 519<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Draw boxes and fill with different designs.\n", + "\n", + "%pylab\n", + "#matplotlib package is used for graphics\n", + "from matplotlib.patches import Rectangle\n", + "from matplotlib.collections import PatchCollection\n", + "\n", + "e = Rectangle(xy=(35, -50), width=10, height=5, linewidth=2.0, color='b')\n", + "fig = plt.gcf()\n", + "fig.gca().add_artist(e)\n", + "e.set_clip_box(ax.bbox)\n", + "e.set_alpha(0.7)\n", + "pylab.xlim([20, 50])\n", + "pylab.ylim([-65, -35])\n", + "\n", + "#There are no different automatic fill styles. user should create the styles." + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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+ "text": [ + "<matplotlib.figure.Figure at 0x7373590>" + ] + } + ], + "prompt_number": 72 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.8, Page number: 520<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Display text in different size, font, vertically and horizontally \n", + "\n", + "%matplotlib inline\n", + "\n", + "from pylab import *\n", + "\n", + "#Tkinter package is used for graphics\n", + "# set limits so that it no longer looks on screen to be 45 degrees\n", + "xlim([-5,5])\n", + "\n", + "# Locations to plot text\n", + "l1 = array((1,1))\n", + "l2 = array((5,5))\n", + "\n", + "# Rotate angle\n", + "angle = 90\n", + "trans_angle = gca().transData.transform_angles(array((45,)),\n", + " l2.reshape((1,2)))[0]\n", + "\n", + "# Plot text\n", + "th2 = text(l2[0],l2[1],'Hello(Horizontal Text with fontsize 25)\\n\\n',fontsize=25,\n", + " rotation=0)\n", + "th2 = text(l2[0],l2[1],'Hello(Horizontal Text with fontsize 16)',fontsize=16,\n", + " rotation=0)\n", + "th1 = text(l1[0],l1[1],'Hello(Vertical Text)',fontsize=16,\n", + " rotation=angle)\n", + "show()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": 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2DVcvV9YHzur1emnr1q1D1G3a2dllKA9olGVZ5+Hhcevq1asNDC37+PFje+Vh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\ndsq0zMzMKk5OTmkDBgzYoUw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IhBIAAEAilAAAABKhBAAAkAglAACARCgBAAAk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\nlAAAACZCCQAAYPIF5fe6JjownXYAAAAASUVORK5CYII=\n", + "text": [ + "<matplotlib.figure.Figure at 0x3f2e190>" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.9, Page number: 521<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Display status of mouse button pressed \n", + "\n", + "from Tkinter import *\n", + "from tkFileDialog import askopenfilename\n", + "import Image, ImageTk\n", + "\n", + "if __name__ == \"__main__\":\n", + " root = Tk()\n", + "\n", + " #setting up a tkinter canvas with scrollbars\n", + " frame = Frame(root, bd=2, relief=SUNKEN)\n", + " frame.grid_rowconfigure(0, weight=1)\n", + " frame.grid_columnconfigure(0, weight=1)\n", + " xscroll = Scrollbar(frame, orient=HORIZONTAL)\n", + " xscroll.grid(row=1, column=0, sticky=E+W)\n", + " yscroll = Scrollbar(frame)\n", + " yscroll.grid(row=0, column=1, sticky=N+S)\n", + " canvas = Canvas(frame, bd=0, xscrollcommand=xscroll.set, yscrollcommand=yscroll.set)\n", + " canvas.grid(row=0, column=0, sticky=N+S+E+W)\n", + " xscroll.config(command=canvas.xview)\n", + " yscroll.config(command=canvas.yview)\n", + " frame.pack(fill=BOTH,expand=1)\n", + "\n", + " \n", + "\n", + " #function to be called when mouse is clicked\n", + " def printcoords(event):\n", + " #outputting x and y coords to console\n", + " print \"Mouse Button pressed\"\n", + " print (event.x,event.y)\n", + " #mouseclick event\n", + " canvas.bind(\"<Button 1>\",printcoords)\n", + "\n", + " root.mainloop()\n", + " \n", + "import win32api, win32con\n", + "\n", + "print \"Current cursor position at \" \n", + "print win32api.GetCursorPos()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "Mouse Button pressed\n", + "(207, 115)\n", + "Current cursor position at " + ] + }, + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "\n", + "(502, 188)\n" + ] + } + ], + "prompt_number": 108 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<h3>Example 15.10, Page number: 523<h3>" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "#Change mouse cursor.\n", + "\n", + "#Placing the cursor on top of the circle button will change the pointer to circle\n", + "# and plus button to plus symbol\n", + "\n", + "from Tkinter import *\n", + "import Tkinter\n", + "\n", + "top = Tkinter.Tk()\n", + "\n", + "B1 = Tkinter.Button(top, text =\"circle\", relief=RAISED,\\\n", + " cursor=\"circle\")\n", + "B2 = Tkinter.Button(top, text =\"plus\", relief=RAISED,\\\n", + " cursor=\"plus\")\n", + "B1.pack()\n", + "B2.pack()\n", + "top.mainloop()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 110 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +======= {
"metadata": {
"name": ""
@@ -751,4 +1476,5 @@ "metadata": {}
}
]
+>>>>>>> 0ee873700378b995b441b1be6652178f741aea5b }
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