Project 0: Python Tutorial Solution

This project serves as an introductory material to the primitives in Python programming. The objective of this project is to get your hands wet in Python which would be the programming language that would be used throughout all the projects in this course.

We would be using Python 2.7 for all the projects in this class.


    • Python Installation

We would prefer everyone to have Python installed in their local computers and you can the use the following link to download and install Python2.7 https://www.python.org/download/releases/ 2.7/

If you have any issues with installing Python on your local machines or have other constraints, you can make use of the CADE lab machines which have Python installed in them.


    • Introductory Python tutorial

For those who are new to Python, please go through all the examples and code snippets under the section titled Python Basics from this link http://ai.berkeley.edu/tutorial.html. This is a nice and easy tutorial to understand the basics. For those who have already been programming in Python, this could be a good time to refresh some of the topics.


    • Project 0 Source  les

Download the tutorial.zip https://s3-us-west-2.amazonaws.com/cs188websitecontent/projects/ release/tutorial/v1/001/tutorial.zip and unzip it. The project directory has many les in-cluding an autograder.py le which could be used to check the correctness of the program.


    • Python programs (4 pts)

As part of Project 0 you would have to complete three questions

    1. Question 1

    2. Question 2

    3. Question 3

described here http://ai.berkeley.edu/tutorial.html. The instructions in each question clearly tells you which le(s) would you need to modify for the corresponding question. Complete the code


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for all the three questions and include comments in your code wherever necessary. All questions are equally weighted.


    • Self Analysis (1pt)

5.1 What was the hardest part of the assignment for you?

5.2 What was the easiest part of the assignment for you?

5.3 What problem(s) helped further your understanding of the course material?

5.4 Did you feel any problems were tedious and not helpful to your understanding of the

material?

5.5 What other feedback do you have about this homework?


    • Submission Instructions

For the nal submission you would be turning in a zipped folder of the python les and a PDF document containing your responses to questions in Section 5.

Please ensure all the submissions are done through canvas. Please do not email the instructor or the TA’s with your submission. Submissions made via email would not be considered for grading.

Naming: Your upload should be named in the format < uid >.zip where < uid > is your Utah uid. Ex: u0006300.zip

For this project you will ll in portions of addition.py, buyLotsOfFruit.py, and shopSmart.py in tutorial.zip. Once you have completed the code, zip your entire project folder (tutorial folder in this case), rename it as per the conventions stated above and submit it via canvas. Do not delete the other les present in the tutorial.zip or change the names of any of those les in the project directory.

Written Answers: Place all written answers to questions in Section 5 in a single PDF doc-ument. This should be clearly named in the format < uid >-Proj< number >-answers.pdf, where < uid > is your Utah uid and number is the Project number (i.e. 0 for this assign-ment). Ex: u0006300-Proj-0.answers. Please make sure to write your name at the top of the document!


    • Evaluation

Your code will be auto-graded for technical correctness. Please do not change the names of any provided functions or classes within the code, or you will wreak havoc on the autograder. However, the correctness of your implementation { not the autograder’s judgements { will be the nal judge of your score. If necessary, we will review and grade assignments individually to ensure that you receive due credit for your work.

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