Please do not use opening file in reading mode that approach. I want to write the short, crisp code. Please do it as small as possible. Write a python program to print the nth row from a text file which is placed in the same directory. Take the n & file name from user.
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- I have 200 .wav audio files each several minutes long. I want a python code to loop through the files and split each file into different 0.5 seconds .wav audio files and store the split files in a different folder. If a file is less than 0.5 seconds, then it should skip that file and continue with the loop for splitting.Summary In this lab, you open a file and read input from that file in a prewritten Python program. The program should read and print the names of flowers and whether they are grown in shade or sun. The data is stored in the input file named flowers.dat. Instructions Open the source code file named Flowers.py Write a while loop to read the input until EOF is reached. In the body of the loop, print the name of each flower and where it can be grown (sun or shade). Execute the program.Summary In this lab, you open a file and read input from that file in a prewritten Python program. The program should read and print the names of flowers and whether they are grown in shade or sun. The data is stored in the input file named flowers.dat. Instructions Open the source code file named Flowers.py Write a while loop to read the input until EOF is reached. In the body of the loop, print the name of each flower and where it can be grown (sun or shade). Execute the program. ----------------------------------------------------- flowers.dat (file information, lists flower and temp it needs to grow) AstilbeShadeMarigoldSunBegoniaSunPrimroseShadeCosmosSunDahliaSunGeraniumSunFoxgloveShadeTrilliumShadePansySunPetuniaSunDaisySunAsterSun -------------------------------------------- GIVEN CODE: # Flowers.py - This program reads names of flowers and whether they are grown in shade or sun from an input # file and prints the information to the user's screen. # Input: flowers.dat. #…
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