Category: Python

Project Deliverables
If your program is working, submit the source code of your

Project Deliverables
If your program is working, submit the source code of your program. You must demonstrate your program is working during the demonstration. Submit the source code, input file(s), output file(s), and visualizations/results.
Please be sure to include thorough comments throughout your program where necessary. The comments should explain the code step-by-step during the demonstration.
Provide a detailed description of your algorithm and program flow. Be sure to include a step-by-step description of the tools that you used (compiler, libraries, etc).
Zip all files or submit all files at once. This should be in report format.
Prepare a demonstration of your project. This should be done in PowerPoint format, 15-20 slides are required.

I couldn’t share Heart1.csv file so I upload it as a 4 photos.
The objective of

I couldn’t share Heart1.csv file so I upload it as a 4 photos.
The objective of this project is to exercise the basics of machine learning.
“There are 3 files to upload: two Python scripts and a PDF”

Need help with coding assignment. The first page is one question and there are f

Need help with coding assignment. The first page is one question and there are five others in my textbook.

Use your text editor to create a .py file containing a Python program that conta

Use your text editor to create a .py file containing a Python program that contains a function called load_news_json(). This function should retrieve the JSON stored at the NPR news feed from the URL below and return the “items” list…
https://www.npr.org/feeds/1019/feed.json
The JSON returned by this news feed has a format similar to the following:
Your load_news_json() function should load the JSON and return the “items” list. Typically, this list will contain somewhere between 5 and 25 dictionaries. So load_news_json() should be returning a list of dictionaries.
Your program should call your load_news_json() function, iterate through the items, and write them to a CSV file called “news.csv” This CSV should have only two columns: title and url. The first row of the CSV should contain the heading, with the word “title” in the first column, and the word “url” in the second column. Then, the title and url values, for each row, should come from the corresponding entries in the news item’s dictionary.
For example, the old article shown in the screenshot above has a title of “Authorities Dismantle Transnational Cybercrime Group” and a URL of “https://www.npr.org/2019/05/16/723983442/authorities-dismantle-transnational-cybercrime-group?utm_medium=JSONFeed&utm_campaign=technology” So these two values should appear in the row of the CSV corresponding to this article. Because there are at least 6 articles shown in the screenshot above, you can be sure that the CSV also will have at least 6 rows.

The goal of this assignment is to segment the iris region of an eye and convert

The goal of this assignment is to segment the iris region of an eye and convert it into a co-centricity invariant representation (from Cartesian to polar coordinates) of a nxm matrix.
Use all images in “eyes.zip” in the Files section. For each image:
1. Use (a) the Hough transform for circle detection (any Matlab/Python implementation you find), and (b) Daugman’s integrodifferential objective to calculate both boundaries of the iris (inner and outer)
2. Convert the iris region into a polar coordinates representation (as in the lecture slides).
Submit:
Matlab/Python code with any additional external functions you used.
A screen recording of your execution, for each image, where you will show: (i) the hough transform results superimposed on the image; (ii) Daugman’s method results superimposed on the image, and (iii) the “unwrapped” iris.
Notes: 3 points for Hough transform, 5 points for Daugman’s method, 2 points for screen recording

Use your text editor to create a .py file containing a Python program that conta

Use your text editor to create a .py file containing a Python program that contains a function called load_news_json(). This function should retrieve the JSON stored at the NPR news feed from the URL below and return the “items” list…
https://www.npr.org/feeds/1019/feed.json
The JSON returned by this news feed has a format similar to the following:
Your load_news_json() function should load the JSON and return the “items” list. Typically, this list will contain somewhere between 5 and 25 dictionaries. So load_news_json() should be returning a list of dictionaries.
Your program should call your load_news_json() function, iterate through the items, and write them to a CSV file called “news.csv” This CSV should have only two columns: title and url. The first row of the CSV should contain the heading, with the word “title” in the first column, and the word “url” in the second column. Then, the title and url values, for each row, should come from the corresponding entries in the news item’s dictionary.
For example, the old article shown in the screenshot above has a title of “Authorities Dismantle Transnational Cybercrime Group” and a URL of “https://www.npr.org/2019/05/16/723983442/authorities-dismantle-transnational-cybercrime-group?utm_medium=JSONFeed&utm_campaign=technology” So these two values should appear in the row of the CSV corresponding to this article. Because there are at least 6 articles shown in the screenshot above, you can be sure that the CSV also will have at least 6 rows.

I am looking for Python code as per the attached pdf. So far I have studied cont

I am looking for Python code as per the attached pdf. So far I have studied control statements, conditional statements, functions, string lists and tuples. prog should be based on these parameters.

Python statements and blocks
If-else branching
While loops – Complete assignment

Python statements and blocks
If-else branching
While loops – Complete assignment using instructions

IMPORTANT: You will need to use the drop down above the code, below, to select “

IMPORTANT: You will need to use the drop down above the code, below, to select “PA2.py” and paste your PA2 code in that file in order for your PA3 code to work.
For this assignment you will be provided with a function callf2(f,p,q) whose input is a function and its two arguments, and returns the value of the function applied to the arguments. You are also given a “main” to test your code.
Your task is to implement three functions: eval_tt_f2(f) and equivalent(tt1,tt2) and is_tautology(tt).
The function eval_tt_f2(f) will, given a two argument Boolean function f as input (one of the functions you created in PA2.py), return the truth table for f. Use the function make_tt_ins(n) function you implemented in PA2.py to create a list with the inputs for the truth table, and then use callf2 to append the truth value for f to each row. For example, evalttf2(iff) should return:
[[False, False, True], [False, True, False], [True, False, False], [True, True, True]]
The function equivalent(tt1,tt2) should return True if tt1 and tt2 are logically equivalent and False otherwise. For example, equivalent(eval_tt_f2(PA2.implies), eval_tt_f2(PA2.nqIMPnp))
should return True.+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Her I have written the code but I am getting erros, please see the attached (feedback) picture. I want it to get it modify and get the full marks.

Discussion Assignment
Welcome to the Unit 4 Discussion Forum!
Section 6.9 Debugg

Discussion Assignment
Welcome to the Unit 4 Discussion Forum!
Section 6.9 Debugging of your textbook lists three possibilities to consider if a function is not working.
Describe each possibility in your own words.
Define “precondition” and “postcondition” as part of your description.
Create your own example of each possibility in Python code. List the code for each example, along with sample output from trying to run it.
The code and its output must be explained technically whenever asked. The explanation can be provided before or after the code, or in the form of code comments within the code. For any descriptive type of question, Your answer must be at least 150 words.
End your discussion post with one question related to programming fundamentals learned in this unit from which your colleagues can formulate a response or generate further discussion. Remember to post your initial response as early as possible, preferably by Sunday evening, to allow time for you and your classmates to have a discussion.