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- Itse 1359 introduction to
- Language fundamentals
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- Itse1359-1090-lists part 2
This module expands on the previous module on lists by teaching you other ways to manipulate lists.
Table of contents
Preface
This module is one in a collection of modules on Python designed for
teaching
ITSE 1359 Introduction to Scripting Languages: Python at Austin Community
College in Austin, TX. It expands on the previous module titled
Itse1359-1080-Lists Part 1 by teaching you some other ways to
manipulate lists.
Viewing tip
I recommend that you open another copy of this module in a separate
browser window and use the following links to easily find and view the Figures andthe Listings while you are reading about them.
(Note to blind and visually impaired students: most of the Figures and all of the Listings in
this module are presented in plain text format and should be accessible using anaudio screen reader or a braille display.)
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Figure 1 . Program output.
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Figure 2 . Program output from replacing an element with a list.
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Figure 3 . Visualization
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Figure 4 . Program output from extracting elements from a nested list.
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Figure 5 . Output from more nested elements.
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Figure 6 . Visualization of a three-dimensional array.
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Figure 7 . Output from a three-dimensional array program.
Listings
Introduction
A previous module titled
Itse1359-1080-Lists Part 1 introduced you to listsand some other structures as well.
It also introduced you to
- subscriptions
- sequences
- mutable sequences
- mappings
- slicing, and
- tuples.
Manipulating lists
That module showed you some of the ways that you can manipulate lists. The
discussion was illustrated using sample programs and visualizations.
Other ways to manipulate lists
This module carries that discussion forward by using sample programs to teach
you other ways to manipulate lists.
Questions & Answers
number of sport play by 50 student construct discrete data
width of the frangebany leaves on how to write a introduction
Solve the mean of variance
Step 1: Find the mean. To find the mean, add up all the scores, then divide them by the number of scores. ...
Step 2: Find each score's deviation from the mean. ...
Step 3: Square each deviation from the mean. ...
Step 4: Find the sum of squares. ...
Step 5: Divide the sum of squares by n – 1 or N.
kenneth
Is mistake done to something
Vutshila
What is the life teble
anas
statistics is the analyzing of data
how do you calculate mean
diveving the sum if all values
Shaynaynay
let A1,A2 and A3 events be independent,show that (A1)^c, (A2)^c and (A3)^c are independent?
data collected all over the world
Shaynaynay
construct a less than and more than table
The sample of 16 students is taken. The average age in the sample was 22 years with astandard deviation of 6 years. Construct a 95% confidence interval for the age of the population.
Bhartdarshan' is an internet-based travel agency wherein customer can see videos of the cities they plant to visit. The number of hits daily is a normally distributed random variable with a mean of 10,000 and a standard deviation of 2,400
a. what is the probability of getting more than 12,000 hits?
b. what is the probability of getting fewer than 9,000 hits?
Bhartdarshan'is an internet-based travel agency wherein customer can see videos of the cities they plan to visit. The number of hits daily is a normally distributed random variable with a mean of 10,000 and a standard deviation of 2,400.
a. What is the probability of getting more than 12,000 hits
Akshay
Sorry i want to learn more about this question
Bright
a= 0.20233
b=0.3384
Sufiyan
How do I interpret level of significance?
It depends on your business problem or in Machine Learning you could use ROC- AUC cruve to decide the threshold value
Shivam
how skewness and kurtosis are used in statistics
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Source:
OpenStax, Itse 1359 introduction to scripting languages: python. OpenStax CNX. Jan 22, 2016 Download for free at https://legacy.cnx.org/content/col11713/1.32
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