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Purpose:  Teams of approximate 4 students will work together to analyse a new mobile phone from the perspective of a consumer and marketer. The Huawei Mate20 has been making some good gains in the market since its launch. You will be required analyse various buyer behaviour concepts (see required structure) in relation to the iMate 20 and then consider recommendations to competitors of the iMate 20. Students can refer to the following article for details of the iMate 20: https://www.techradar.com/au/reviews/huawei-mate-20. Introduction The purpose of the report is to understand the buyer behaviors with the impact of external and internal influences of the consumers of Huawei iMate 20. The report starts with providing a detailed view of the segmentation, targeting and the positioning of the iMate 20 for better understanding the customers of iMate 20. The report then follows the feature of the iMate 20 that contributes towards the achievement of satisfaction of customers. Th...

write a program that takes as an input a text file. Your program should print all the unique words in the file in alphabetical order. def unique_file(input_filename, output_filename):     input_file = open(input_filename, 'r')     file_contents = input_file.read()     input_file.close()     duplicates = []     word_list = file_contents.split()     file = open(output_filename, 'w')     for word in word_list:         if word not in duplicates:             duplicates.append(word)             file.write(str(word) + "\n")     file.close() unique_file('sample.txt','unique_output.txt') for line in sorted(open('unique_output.txt')):     print(line, end='') Output This is the most import task. you have performed in a while. python rocks yeah.

The program takes as an input a text file. Your program should print all the unique words in the file and their frequencies in alphabetical order # Python code to find frequency of each word def freq(string):       # break the string into list of words      string = string.split()              str2 = []       # loop till string values present in list str     for i in string:                        # checking for the duplicacy         if i not in str2:               # insert value in str2             str2.append(i)                    for i in range(0, len(str2)):           # count the frequency of each word(present          # in str2) in...

# conversion.py which takes a decimal number as an input, and returns its representation in a given base as a string (i.e. binary, octal, or hexadecimal string). The function uses a look-up table (dictionary) to map decimal integers to digits in the targeted base lookUp = {0 : '0', 1 : '1', 2 : '2', 3 : '3', 4 :'4', 5 : '5', 6 : '6', 7 : '7', 8 : '8', 9 : '9', 10 : 'A', 11 : 'B', 12 : 'C', 13 : 'D', 14 : 'E', 15 : 'F'} def dec_to_bin(x):     return (bin(x)) def dec_to_hex(x):     return (hex(x)) def dec_to_oct(x):     return (oct(x))    def decimalToRep(decNum,typeVal):     if typeVal==2:         string=str(decNum)         st=list(string)         t=[]         b=''         for i in st:             for k,v in lookUp.items():                 if i==...