Explanation:
if you have any doubts or queries regarding the answer please feel free to ask
Answer:
Learn OpenGL and any graphics rendering program.
Explanation:
The answer is Clean Verbatim. In Clean Verbatim, the transcription does not include speech errors, false starts, and various filler words. It removes all of the so-called ‘extras’ that you may hear in an audio or video recording – “umms,” “likes,” “you knows” and other filler words, as well as stuttering. Clean Verbatim is ideal for business and marketing transcription purposes.
Explanation:
def letterDigitCount(j):
dic={"digits":0,"letters":0}
for a in j:
if a.isdigit():
dic["digits"]+=1
elif a.isalpha():
dic["letters"]+=1
return dic