1. Create a file with given numbers. Read them from file with a python prog calculate mean, median, variance and standard deviation for this data. Мean, N ΣΧ ΣΧ i=1 N N Variance, E(X – 4)? o2 N Standard Deviation, S =. п-1 X- Мean = rle 932 298 918 645 505 922 324 979 360 775 53 12 986 764 400 81 166 787 148 376 385 49 62 149 618 568 270 52 295 278 705 942 958 816 634 566 216 919 475 988 732 835 200 741 587 910 183 2 29 503 63 217 213 656 416 350 386 257 827 820 807 369 634 185 449 564 615 966 342 153 425 830 365 347 487 550 788 959 79 12

Task. Your task is to develop a python program that reads input from text file and finds if the alphanumeric sequence in each line of the provided input file is valid for Omani car license plate. The rules for valid sequences for car plates in Oman are as follows: Each sequence is composed of 1 to 5 digits followed by one or two letters. Digits cannot start with 0, for instance, 00, 011, or 09 are not valid digit sequences. The following list are the only valid letter combinations: ['A','AA','AB','AD','AR','AM','AW','AY', 'B','BA','BB','BD','BR','BM','BW','BY', 'D',DA','DD','DR','DW','DY', "R',RA','RR','RM','RW','RY', 'S','SS', 'M', 'MA','MB','MM','MW','MY', W',WA','WB','ww, Y,YA','YB','YD','YR','YW','YY'] Program Input/Output. Your program should read input from a file named plates.txt and write lines with valid sequences to a file named valid.txt. Any line from the input file containing invalid sequence should be written to a file named invalid.txt. Each line from the input file must…

I am having trouble coding this in python: Develop a program that first reads in the name of an input file and then reads the file using the csv.reader() method. The file contains a list of words separated by commas. Your program should output the words and their frequencies (the number of times each word appears in the file) without any duplicates. Ex: If the input is: input1.csv and the contents of input1.csv are: hello,cat,man,hey,dog,boy,Hello,man,cat,woman,dog,Cat,hey,boy the output is: hello 1                                                                                                          cat 2                                                                                                            man 2                                                                                                                hey 2                                                                                                              dog 2…

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You have to collect information about the states in your country and then store each states’ name, size, population, Governor, and secret name in a file. Unlike other input, Secret name will be generated from states’ name in a separate method which change vowels alphabet of input string states’ name into the number as given in the following table. ( Table Attached----Table Attached----Table Attached) Write a python program to accept the data for a number of states from the keyboard and store the data in a file in the order in which they’re entered.

Find what is required in the following question by coding it in Python. Submit your codes in a single file in .ipynb format, which is the "jupyter notebook" format, not in .py format. 1) The impulse response of a system with LZD is given as h[n]=8[n]-ô[n-1]. Create the h[n] sign with 16 points defined in the indices n=0,..15. Calculate the 16-point DFT of this array you created with the fft() function and plot the amplitude and phase graphs.

Write a C++ program that reads the contents of (data.txt) file which contains 3- digit numbers, and then finds the number with the maximum digits summation and prints it with the summation on the screen. Example 1: data txt The number with maximum digits summation is 989 Digit's summation 26 455 657 121 356 909 957 989 459 789 878

Use Python 3 for this question. Do the sentiment analysis based on a text file which contains numerous tweets in its raw text format. All tweets collected in this file contains a key word specified by the instructor. The key word being used is “Trump”. You can use the raw tweets file provided by the following link: tinyurl.com/46ntt3a5. You will need to convert this to a .txt file for this assignment. Your raw tweets file size at least needs to be 350K. After you have the raw tweets file ready, you need to perform the following tasks in a Jupyter notebook file. First you need to clean up the tweet file content to the best you can. For each word that is not a “stop word” (and, the, a, is, as, …), assign a value +1 for positive sentiment or a value -1 for negative sentiment. A list of “positive” words will be provided to you. You can easily find a list of “stop words”, and a list of “negative” words online. For the words that is not in positive/negative/stop words, count as ‘others’.…

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answer this question in Python (using numpy )