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Showing posts from July, 2020

Likert Scale Analysis - Mean and Standard Deviation

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https://youtu.be/GHlQGb3Zlew Discover how to analyze your likert scale questionnaire. Finding the mean and standard deviation made easy.

Facebook Job - Secrets and Tips (Applicants)

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Do you apply for jobs on Facebook or any social media? Are you tired of the numerous applications you have made?? Does the Job Portal of the social media really functions??? In this video, you get answers to all questions above and others too. *Please do SUBSCRIBE, COMMENT & REACT.* Thanks! For this Job, Kindly like this page, our blog (www.hamplustech.com) and our YouTube channel (https://www.youtube.com/channel/UCvnVtIYp3_t037cL0KjU8DA). This is to keep you posted because the employed will be announced through these channels at the end of the Job deadline. Remmember, like and subscribe to: - www.facebook.com/HamplusHub - https://www.youtube.com/channel/UCvnVtIYp3_t037cL0KjU8DA - www.hamplustech.com Sign: Management, Hamplus Technologies (Hamplus Hub)

Python Task/Exercise Week 3 No 2

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In this task/exercise, we have to print back a given list using the index position, in a way that all the odd comes before the even. Hence, using this list below, sample = list(range(1,101)) print the list that in this way sample_new = [all odd index position, all even index position] _____________________________________________________ Please submit your answer on the BLOG or YouTube Channel as a comment. There is a prize to be won. CONGRATS TO MR. ELVIS that won in the last task/exercise. Terms and Conditions for winning 1] Drop your answer as a comment. 2] Like this post and any other four on the blog 3] Like three videos on our YouTube Channel 4] Subscribe to our BLOG and YouTube Channel 5] Share our blog and channel to three social media sites with the hashtag hamplustech (#hamplustech) Thanks.

Python Task/Exercise Week 3 No 1

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Python Task/Exercise Week 3 No 1 In this task/exercise, we have to use two dictionaries to produce a new dictionary. Hence, using vocab and idf dictionaries below, vocab = {"band" : 0, "and" : 1, "ask" : 2, "cat" : 3} idf = {"band" : 1.7, "and" : 0.98, "ask" : 0.99, "cat" : 1.2} produce a new dictionary called new_vocab, as below new_vocab = {"and" : 0, "ask" : 1, "cat" : 2, "band" : 3} _____________________________________________________ Please submit your answer on the BLOG or YouTube Channel as a comment. There is a prize to be won. CONGRATS TO MR. ELVIS that won in the last task/exercise. Terms and Conditions for winning 1] Drop your answer as a comment. 2] Like this post and any other four on the blog 3] Like three videos on our YouTube Channel 4] Subscribe to our BLOG and YouTube Channel 5] Share our blog and channel to three social med...

Datatype Explained & Used [tuple()] - Pt. 2

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https://youtu.be/gmKEpB3a8DM Datatype Explained and Used [tuple()] - Pt. 2 - mutating a tuple Thanks for Viewing. Please do Subscribe, React, Comment and Share! www.hamplustech.com

Datatype Explained & Used [tuple] - Pt. 1

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https://youtu.be/VyB9yp2V0lk Datatype Explained and Used [tuple()] - Pt. 1 - concept - initialization - help() and dir() Thanks for Viewing. Please do Subscribe, React, Comment and Share! www.hamplustech.com https://bit.ly/3indnrD For all your ICT work, Just click on the link!

Datatype Explained & Used (set) - Pt. 2

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https://youtu.be/czhx_yMiaak - difference - intersection - isdisjoint - subset - superset - symmetric difference - union Thanks for Viewing. Please do Subscribe, React, Comment and Share!