Lab 0: Getting Started

• lab00.zip

Due by 11:59pm on Friday, September 6.

Starter Files

Download lab00.zip.

This lab is required for all students and counts toward your lab score.

Introduction

This lab explains how to setup your computer to complete assignments and introduces some of the basics of Python. If you need any help, post on Ed or ask for help at your assigned lab section.

Here's an outline of the lab:

• Setup: Setting up the essential software for the course. This will require several components, listed below.

  • Install a Terminal: Install a terminal so you can interact with files in this course and run OK commands. If you have a terminal on your computer and feel comfortable using it, you can skip this part.
  • Install Python 3: Install the Python programming langauge to your computer. If you already have Python 3.7 or later (ideally Python 3.9) installed, you can skip this part.
  • Install a Text Editor: Install software to edit .py files for this course (e.g. VSCode, Atom, etc.). You can skip this part if you already have a text editor you like.
• Walkthrough: Using the Terminal: This walks you through how to use the terminal and Python interpreter. If you already feel comfortable with both of these you do not need to read this section.
• Walkthrough: Organizing your Files: This section walks you through how to use your terminal to organize and navigate files for this course. Everyone should at least skim this section, as it has important information specific to this class, but if you are already comfortable navigating directory structures with a terminal much of this will feel familar.
• Required: Doing the Assignment: You must complete this section to get points for the assignment. Here you will practice the different types of problems you will be asked to do in lab, homework, and project assignments for this course. The main goal of this assignment is to give you practice using our software.
• Required: Submitting the Assignment: You must complete this section to get points for the assignment. This will walk you through how to turn in your work after completing the previous section and how to verify that your work is turned in on Gradescope.
• Appendix: Useful Python Command Line Options: These are commands that are useful in debugging your work, but not required to complete the lab. We include them because we imagine they're likely to be helpful to you throughout the course.

Setup

To setup your device, select the guide that corresponds to your operating system.

• Guide for Windows
• Guide for Mac & Linux

Your First Assignment

When working on assignments, ensure that your terminal's working directory is correct (which is likely where you unzipped the assignment).

1) What Would Python Do? (WWPD)

One component of lab assignments is to predict how the Python interpreter will behave.

Enter the following in your terminal to begin this section:

python3 ok -q python-basics -u

You will be prompted to enter the output of various statements/expressions. You must enter them correctly to move on, but there is no penalty for incorrect answers.

The first time you run Ok, you will be prompted for your bCourses email. Please follow these directions. We use this information to associate your code with you when grading.

>>> x = 20
>>> x + 2
______
22
>>> x
______
20
>>> y = 5
>>> y = y + 3
>>> y * 2
______
16
>>> y + x
______
28

Toggle Solution

2) Implementing Functions

Open the entire lab00 folder in VS Code. You can drag the folder onto the VS Code application or open VS Code and use Open Folder... in the File menu. Once you open the lab00 folder, you'll see the lab00.py file in the file explorer on the left panel of your VS Code window. Click it to start editing lab00.py, which is the file you will submit to receive credit for the lab.

Important: Turn on Auto Save in the File menu of VS Code. Then, whenever you change a file, the contents will be saved.

Now complete the lab. You should see a function called twenty_twenty_four that has a blank return statement. That blank is the only part you should change. Replace it with an expression that evaluates to 2024. What's the most creative expression you can come up with?

3) Running Tests

We will use a program called ok to test our code. ok will be included in every assignment in this class.

Switch to the terminal. Make sure you are in the lab00 directory we created earlier. (The cd command lets you change directories.) Pro tip: If you opened the lab00 folder in VS Code and select New Terminal in the Terminal menu of VS Code, then the terminal will automatically be in the lab00 directory.

In that directory, you can type ls to verify that there are the following files:

• lab00.py: the starter file you just edited
• ok: our testing program
• lab00.ok: a configuration file for ok

Now, let's test our code to make sure it works. You can run ok with this command:

python3 ok

Remember, if you are using Windows and the python3 command doesn't work, try using just python or py.

If you wrote your code correctly and you finished unlocking your tests, you should see a successful test:

=====================================================================
Assignment: Lab 0
=====================================================================

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Running tests

---------------------------------------------------------------------
Test summary
    2 test cases passed! No cases failed.

If you didn't pass the tests, ok will instead show you something like this:

---------------------------------------------------------------------
Doctests for twenty_twenty_four

>>> from lab00 import *
>>> twenty_twenty_four()
0

# Error: expected
#     2024
# but got
#     0

---------------------------------------------------------------------
Test summary
    0 test cases passed before encountering first failed test case

Fix your code in your text editor until the test passes.

Every time you run Ok, Ok will try to back up your work. Don't worry if it says that the "Connection timed out" or that you're not enrolled in the course. You can still submit to Gradescope and get credit.

Task C: Submitting the Assignment

Now that you have completed your first assignment, it's time to turn it in. You can follow these next steps to submit your work and get points.

Submit with Gradescope

1. Log in with School Credentials using your CalNet ID to Gradescope. You’ll be taken to your Dashboard as soon as you log in.

   

2. On your Dashboard, select this course. You should have already been added to Gradescope. If this is not the case, please make a private Ed post. This will take you to the list of assignments in the course that you’re able to submit. On this list, you will see the status of the assignment, the release date, and the due date.
3. Click on the assignment Lab 0 to open it.

4. When the dialog box appears, click on the gray area that says Drag & Drop. This will open your file finder and you should select your code file lab00.py that you edited for this assignment.

   
   

5. Once you’ve chosen your file select the Upload button. When your upload is successful, you’ll see a confirmation message on your screen and you’ll receive an email.

   

6. Next, wait a few minutes for the autograder to grade your code file. Your final score will appear at the right and your output should be the same as the one you tested locally. You can check the code that you submitted at the top right where there is a tab labeled Code. If there are any errors, you can edit your lab00.py code and click Resubmit at the bottom of your screen to resubmit your code file. Assignments can be resubmitted as many times as you’d like before the deadline

   

Your responses to WWPD questions are not submitted to Gradescope, and they don't need to be. Lab credit is based on code writing questions.

Congratulations, you just submitted your first assignment!

Appendix: Useful Python Command Line Options

Here are the most common ways to run Python on a file.

1. Using no command-line options will run the code in the file you provide and return you to the command line. If your file just contains function definitions, you'll see no output unless there is a syntax error.

   python3 lab00.py

2. -i: The -i option runs the code in the file you provide, then opens an interactive session (with a >>> prompt). You can then evaluate expressions, for example calling functions you defined. To exit, type exit(). You can also use the keyboard shortcut Ctrl-D on Linux/Mac machines or Ctrl-Z Enter on Windows.

   If you edit the Python file while running it interactively, you will need to exit and restart the interpreter in order for those changes to take effect.

   Here's how we can run lab00.py interactively:

   python3 -i lab00.py

3. -m doctest: Runs the doctests in a file, which are the examples in the docstrings of functions.

   Each test in the file consists of >>> followed by some Python code and the expected output.

   Here's how we can run the doctests in lab00.py:

    python3 -m doctest lab00.py

   When our code passes all of the doctests, no output is displayed. Otherwise, information about the tests that failed will be displayed.