LO1 Define basic Algorithms to Carry Out an Operation

Added on - 04 Oct 2020

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Python 3Submitted by:Date:
Table of contentIntroductionSingle program which comprises the various tasks (1.1-1.10)LO1Define basic algorithms to carry out an operation and outline the process of programmingan application.LO2Explain the characteristics of procedural, object-orientated and event driven programming,conduct an analysis of a suitable Integrated Development Environment (IDE)LO3Implement basic algorithms in code using an IDELO4Determine the debugging process and explain the importance of a coding standardConclusionReference
1.1Hello C# (Menu Item 1)import timename = input('Enter your name: ')time = input('Enter time of the day: ')print('Hello, world!')currentTime = time.strftime('%H:%M')if currentTime.hour < 12 :print('Good morning')if currentTime.hour > 12 :print('Good afternoon')if currentTime.hour > 6 :print('Good evening')1.2Your Name Characters (Menu item 2)for i in range(0, 5):for j in range(0, i+1):print("0",end="")print()1.3The Area and the perimeter of a Rectangle (Menu item 3)print("Enter 'x' for exit.");side1 = input("Enter length of first side: ");if side1 == 'x':exit();else:side2 = input("Enter length of second side: ");side3 = input("Enter length of third side: ");a = float(side1);b = float(side2);c = float(side3);s = (a + b + c)/2;area = (s*(s-a)*(s-b)*(s-c)) ** 0.5;print("\nArea of Triangle = %0.2f" %area);1.4Time of Journey (Menu item 4)
import simplejson, urllibimport reimport timeimport operatorimport osimport sysimport argparsefrom collections import defaultdictREMOVE_HTML_TAGS = r'<[^>]+>'GEOCODE_BASE_URL ='http://maps.googleapis.com/maps/api/geocode/json'DIRECTIONS_BASE_URL ='http://maps.googleapis.com/maps/api/directions/json'def geocode(address, **geo_args):geo_args.update({'address': address})url = GEOCODE_BASE_URL + '?' + urllib.urlencode(geo_args)result = simplejson.load(urllib.urlopen(url))return result['results']def reverse_geocode(lat, lng):geo_args = {'latlng': "%s,%s" % (lat, lng)}url = GEOCODE_BASE_URL + '?' + urllib.urlencode(geo_args)result = simplejson.load(urllib.urlopen(url))return result['results']def directions(source, destination, **geo_args):geo_args.update({'origin': source,'destination': destination})url = DIRECTIONS_BASE_URL + '?' + urllib.urlencode(geo_args)return simplejson.load(urllib.urlopen(url))
def output_routes(mode, routes):timings = defaultdict(lambda: 0)distances = defaultdict(lambda: 0)for route in routes:for leg in route['legs']:print "Distance: ", leg['distance']['text']print "Duration: ", leg['duration']['text']for step in leg['steps']:travel_mode = step['travel_mode']if 'html_instructions' in step:direction_text = re.sub(REMOVE_HTML_TAGS, '', step['html_instructions'])else:direction_text = '(no direction text)'distance = step['distance']duration = step['duration']encoded_direction_text =direction_text.encode('latin1', errors='ignore')print "%s (%s, %s, %s)" %(encoded_direction_text, travel_mode,duration['text'], distance['text'])timings["%s-%s" % (mode, travel_mode)] +=duration['value']distances["%s-%s" % (mode, travel_mode)] +=distance['value']return timings, distancesif __name__ == '__main__':ap = argparse.ArgumentParser()ap.add_argument("--dry-run", required=False, default=False,action='store_true', help="Don't make API calls")ap.add_argument("--min-lng", required=False, default=103.73,type=float, help="Minimum longitude (Default 103.73)")ap.add_argument("--max-lng", required=False, default=103.84,type=float, help="Maximum longitude (Default 103.84)")ap.add_argument("--min-lat", required=False, default=1.27,type=float, help="Minimum latitude (Default 1.27)")ap.add_argument("--max-lat", required=False, default=1.345,type=float, help="Maximum latitude (Default 1.345)")ap.add_argument("--step-lng", required=False,default=0.00125,
type=float, help="Increment longitude amount (Default0.00125)")ap.add_argument("--step-lat", required=False,default=0.00125,type=float, help="Increment latitude amount (Default0.00125)")args = vars(ap.parse_args())print args# load existing timingsif os.path.exists('timings.csv'):timings = [ row.strip().split('\t') for row infile('timings.csv') ]else:timings = []print 'Found %d existing timings' % len(timings)latlngs = dict(('%s,%s' % (k,v), True) for (k,v,_,_,_,_) intimings)if not args['dry_run']:results = geocode(address="The Pinnacle @ Duxton")data = results[0]location = data['geometry']['location']lat, lng = location['lat'], location['lng']source = "%s,%s" % (lat, lng)print sourcewith open('source.txt', 'w') as sourcef:sourcef.write("%s,%s\n" % (lat, lng))results = reverse_geocode(lat, lng)print 'Reverse geocoded address for lat,lng: %.3f,%.3f' %(lat, lng)print '\n'.join([ x['formatted_address'] for x in results])printtime.sleep(5)eight_am =int(time.mktime(time.struct_time([2014,7,14,8,0,0,0,0,0])))# starting longitudelng_f = args['min_lng']min_lat_f = args['min_lat']
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