Category: Python

For this assignment, you will use Python and Visual Studio Code to create a comp

For this assignment, you will use Python and Visual Studio Code to create a computer program. Submit a Python program script file with the solutions (file extension is py) in Blackboard by Sunday at 11:59 PM. How much retirement planning have you accomplished so far? There are various methods of approximation to estimate how much one might need to save or invest for retirement. The problems in this homework will require successive approximations to determine savings and expensed values from a retirement investment plan.
Please see the attached instructions.
When you have completed the work, submit your Python script files here. PLEASE SCRIPT FILES (file extension is py). AND IN YOUR ANSWERS INCLUDE RESULT SCREENSHOTS AS WELL. My name is needed for the assignment First name : Jakhongir Last name : Valijonov
https://learn-us-east-1-prod-fleet01-xythos.conten…

AD654: Marketing Analytics –Project
Boston University
The Disney Corporation is

AD654: Marketing Analytics –Project
Boston University
The Disney Corporation is considering some tough strategic decisions at this time, and they heard that you knew
about analytics, and about theme parks. They have come to you for help.
Note: Some of the data used in this project is real, while other data is simulated for the project.
Your team will submit a written report via Blackboard. This report should come in the form of one ZIP file. This
ZIP file will include:
● A written document that includes a link to your Tableau dashboard and your write-up/description
of the dashboard.
● A PDF with an accompanying .ipynb that includes all of your results for the following parts:
○ Summary Stats
○ Segmentation and Targeting
During the last week of the course, your will deliver a 15-minute presentation in Zoom to your Professor.

“Computer Science with Python – Sample Question Papers – 20 Sets” is an essentia

“Computer Science with Python – Sample Question Papers – 20 Sets” is an essential resource for students preparing for their computer science exams. This eBook is meticulously designed to provide comprehensive practice and revision material, focusing on Python programming and related computer science concepts. With 20 sets of sample question papers, students can thoroughly prepare for exams, understand exam patterns, and assess their knowledge and proficiency in Python programming.

The “Class 11 Python Programming” eBook is a meticulously crafted guide designed

The “Class 11 Python Programming” eBook is a meticulously crafted guide designed to introduce high school students to the world of Python programming. This comprehensive resource aligns with the curriculum requirements, making it an invaluable tool for both students and educators. The eBook covers fundamental concepts and advanced topics, ensuring a solid foundation in Python programming.

1. Exercise Measurement
Part 1:
Design two fully functional classes to represent

1. Exercise Measurement
Part 1:
Design two fully functional classes to represent the Imperial (American) and Metric measurement systems for:
* Weight: lb/kg, oz/gram
* Length: mi/km, ft/meter, in/cm
* Volume: gal/li, floz/mil
Reference: https://www.metric-conversions.org/Links to an external site.
Both classes contain the conversion factors to convert Imperial to Metric and Metric to Imperial for the selected Unit types. It may make sense to use Inheritance in your design, but using inheritance isn’t a requirement. Part of the grade for this assignment is to design effective classes.
Part 2:
Design a TKinter Gui interface that uses the Imperial and Metric classes. The TKinter GUI interfaces with the user to convert Imperial/Metric values.
Radio Button Set1: Allow user to select Imperial or Metric Unit.
Radio Button Set2: Allow user to select the Measurement Types.
ListBox: Displays the Unit types for the selected Measurement Type.
Textbox1: Allows user to input a value to convert.
Textbox2: Outputs the converted value.
Arrange these GUI components into a practical and user-friendly interface. Part of the grade consists of demonstrating your ability to effectively use GUI components. This is your opportunity to show what you’ve learned this quarter.
2. Exercise Plotting
Purpose: Plot a DataFrame using MatPlotLib
This exercise purpose is to design classes to organize the and process the data. The required classes are:
A). CSV File Reader. Internally the File Reader uses the Pandas CSV_Reader to read the Input CSV file. The CSV reader returns a DataFrame representing the data in the CSV file. Read the Carbon.CSV file, but don’t limit your class to only handling a specific CSV file.
B). Graph Plot. Displays a DataFrame using MatPlotLib. Select the type of plot that best represents the data.
C). Data Processor. This class manipulates the DataFrame data before plotting the data.
D). You may add more classes than these 3, but the additional classes are not required.
The Carbon.CSV file is laid-out in the 12 months per year from 1959 – 2019. Data extract:
year,month,decimal,average,interpolated,trend,#days
1959,1,1959.042,315.62,315.62,315.70,-1
1959,2,1959.125,316.38,316.38,315.88,-1
1959,3,1959.208,316.71,316.71,315.62,-1
…
2019,9,2019.708,408.54,408.54,412.14,29
2019,10,2019.792,408.53,408.53,411.96,30
2019,11,2019.875,410.27,410.27,412.26,25Your class extracts the ‘average’ column for each month, uses a map to convert the monthly data to annual and then plots the annual carbon emmissions.
The goal of this exercise is to demonstrate your ability to create effective Python Class Objects. Simply placing the keyword ‘Class’ on top of a collection of functions will receive minimal points. This is because it demonstrates no ability to create effective and usable classes.

HW 5 – ETL with real data
The goal of this homework is similar to that of HW4 wh

HW 5 – ETL with real data
The goal of this homework is similar to that of HW4 where you’re given semi-structured non-normalized data and do a full ETL on it with the end result being a cleaned, normalized set of tables that you then push to your postgres database on AWS.
In this scenario though, the data you’re given is more complex, more messy, and needing a lot more of the E and T of the ETL than the HW4 district court decisions data. You also have a lot less guidance in how you approach this. Basically, I’ll give you some information on the data and some guidance on what your RDB schema might look like (but you’ll have to make a lot of decisions here too). We’re basically simulating a scenario where I, a client, am giving you data and some general guidelines and asking you to do a full ETL on it.
This is basically a slightly more structured version of what you’ll need to do with your final projects. The data you’ll be using here is actually from the final project of a former student, so it should give you an idea of the level of complexity that’s expected and sort of a bigger picture idea of what your final project will involve.
Submission 1) Run all cells. 2) Create a directory with your name. 3) Create a pdf copy of your notebook. 4) Download .py and .ipynb of the notebook. 5) Put all three files in it. 6) Zip and submit.

I need you to create Artificial Neural Network Model to predict the emission of

I need you to create Artificial Neural Network Model to predict the emission of CO2 for the attached data (output is High, medium and Low) and the inputs is Size ,Fuel type , burning time per day , number of simulators , weather conditions , types of training activities and frequency. You need to do the follwoing:1- Artificial Neural Network Model graph 2- correlation test graph 3-box blot 4-Scatter Plot 5-confusion matrix (F-score) 6- ROC curve . moreover you should include data preprocessing, exploratory data analyisis, predictive modeling , model loss and model accuracy..etc.

（https://docs.google.com/spreadsheets/d/1MRIhhzcoQQ…）
（https://docs.google.com

（https://docs.google.com/spreadsheets/d/1MRIhhzcoQQ…）
（https://docs.google.com/spreadsheets/d/1IoqC1-IFXm…）
Inside the link is the data you need

This assignment is to improve the score system we had for Assignment #2. You nee

This assignment is to improve the score system we had for Assignment #2. You need
to write a Python program that:
(1) Reads from the file “hw3.txt” in the local directory that contains the SID
(which is a string) and the homework grades (which are integers) of each
student in a class. This time the number of students is not known in advance,
but you may assume that all students have the same number of grades.
(2) Computes the average score (as an integer) for each student. The average of
each student is computed based on (grade total / number of homework
assignments).
(3) Computes the average of the class (as an integer): class average = sum of
averages / number of students;
(4) Computes the letter grade for each student. This time however the letter
grade is “P” (Pass) or “NP” (No Pass): If the average of a student is greater
than or equal to the class average, the student’s letter grade is “P”; otherwise
the letter grade is “NP”.
(5) Prints the SID, the average grade, and the letter grade of each student.
For example, if the data file contains:
1001 20 30 100
1002 80 90 100
1003 100 100 100
Your program should report something like:
SID 1001 Avg 50 Grade NP
SID 1002 Avg 90 Grade P
SID 1003 Avg 100 Grade P
Class Average is 80

This assignment is to improve the score system we had for Assignment #2. You nee

This assignment is to improve the score system we had for Assignment #2. You need
to write a Python program that:
(1) Reads from the file “hw3.txt” in the local directory that contains the SID
(which is a string) and the homework grades (which are integers) of each
student in a class. This time the number of students is not known in advance,
but you may assume that all students have the same number of grades.
(2) Computes the average score (as an integer) for each student. The average of
each student is computed based on (grade total / number of homework
assignments).
(3) Computes the average of the class (as an integer): class average = sum of
averages / number of students;
(4) Computes the letter grade for each student. This time however the letter
grade is “P” (Pass) or “NP” (No Pass): If the average of a student is greater
than or equal to the class average, the student’s letter grade is “P”; otherwise
the letter grade is “NP”.
(5) Prints the SID, the average grade, and the letter grade of each student.
For example, if the data file contains:
1001 20 30 100
1002 80 90 100
1003 100 100 100
Your program should report something like:
SID 1001 Avg 50 Grade NP
SID 1002 Avg 90 Grade P
SID 1003 Avg 100 Grade P
Class Average is 80