3.2. 👩‍💻 Programming in the Real World

Before we dive into the nitty gritty details of debugging, here is a video to give you a flavor for what its like to be a programmer in the real world.

3.3. 👩‍💻 Debugging

Programming is a complex process. Since it is done by human beings, errors may often occur. Programming errors are called bugs and the process of tracking them down and correcting them is called debugging. Some claim that in 1945, a dead moth caused a problem on relay number 70, panel F, of one of the first computers at Harvard, and the term bug has remained in use since. For more about this historic event, see first bug.

One of the most important skills you need to acquire to complete this book successfully is the ability to debug your programs. Debugging might be the most under-appreciated, and under-taught, skill in introductory computer science. For that reason we are introducing a series of “debugging interludes.” Debugging is a skill that you need to master over time, and some of the tips and tricks are specific to different aspects of Python programming. So look for additional Way of the Programmer interludes throughout the rest of this book.

Programming is an odd thing in a way. Here is why. As programmers we spend 99% of our time trying to get our program to work. We struggle, we stress, we spend hours deep in frustration trying to get our program to execute correctly. Then when we do get it going we celebrate, hand it in, and move on to the next homework assignment or programming task. But here is the secret, when you are successful, you are happy, your brain releases a bit of chemical that makes you feel good. You need to organize your programming so that you have lots of little successess. It turns out your brain doesn’t care all that much if you have successfully written hello world, or a fast fourier transform (trust me its hard) you still get that little release that makes you happy. When you are happy you want to go on and solve the next little problem. Essentially I’m telling you once again, start small, get something small working, and then add to it.

3.3.1. How to Avoid Debugging

Perhaps the most important lesson in debugging is that it is largely avoidable – if you work carefully.

1. Start Small This is probably the single biggest piece of advice for programmers at every level. Of course it’s tempting to sit down and crank out an entire program at once. But, when the program – inevitably – does not work then you have a myriad of options for things that might be wrong. Where to start? Where to look first? How to figure out what went wrong? I’ll get to that in the next section. So, start with something really small. Maybe just two lines and then make sure that runs ok. Hitting the run button is quick and easy, and gives you immediate feedback about whether what you have just done is ok or not. Another immediate benefit of having something small working is that you have something to turn in. Turning in a small, incomplete program, is almost always better than nothing.

2. Keep it working Once you have a small part of your program working the next step is to figure out something small to add to it. If you keep adding small pieces of the program one at a time, it is much easier to figure out what went wrong, as it is most likely that the problem is going to be in the new code you have just added. Less new code means its easier to figure out where the problem is.

This notion of Get something working and keep it working is a mantra that you can repeat throughout your career as a programmer. It’s a great way to avoid the frustrations mentioned above. Think of it this way. Every time you have a little success, your brain releases a tiny bit of chemical that makes you happy. So, you can keep yourself happy and make programming more enjoyable by creating lots of small victories for yourself.

Ok, lets look at an example. Lets solve the problem posed in question 3 at the end of the Simple Python Data chapter. Ask the user for the time now (in hours 0 – 23), and ask for the number of hours to wait. Your program should output what the time will be on the clock when the alarm goes off.

So, where to start? The problem requires two pieces of input from the user, so lets start there and make sure we can get the data we need.

If you haven’t yet, click Run: get in the habit of checking whether small things are working before you go on.

So far so good. Now lets take the next step. We need to figure out what the time will be after waiting wait_time number of hours. A good first approximation to that is to simply add wait_time to current_time and print out the result. So lets try that.

Hmm, when you run that example you see that something funny has happened.

    debug-1-1: Which of the following best describes what is wrong with the previous example?
  • Python is stupid and does not know how to add properly.
  • No, Python is probabaly not broken.
  • There is nothing wrong here.
  • No, try adding the two numbers together yourself, you will definitely get a different result.
  • Python is doing string concatenation, not integer addition.
  • Yes! Remember that input returns a string. Now we will need to convert the string to an integer

This error was probably pretty simple to spot, because we printed out the value of final_time and it is easy to see that the numbers were just concatenated together rather than added. So what do we do about the problem? We will need to convert both current_time and wait_time to int. At this stage of your programming development, it can be a good idea to include the type of the variable in the variable name itself. So lets look at another iteration of the program that does that, and the conversion to integer.

Now, that’s a lot better, and in fact depending on the hours you chose, it may be exactly right. If you entered 8 for the current time and 5 for the wait time then 13 is correct. But if you entered 17 (5pm) for the hours and 9 for the wait time then the result of 26 is not correct. This illustrates an important aspect of testing, which is that it is important to test your code on a range of inputs. It is especially important to test your code on boundary conditions. In this case you would want to test your program for hours including 0, 23, and some in between. You would want to test your wait times for 0, and some really large numbers. What about negative numbers? Negative numbers don’t make sense, but since we don’t really have the tools to deal with telling the user when something is wrong we will not worry about that just yet.

So finally we need to account for those numbers that are bigger than 23. For this we will need one final step, using the modulo operator.

Of course even in this simple progression, there are other ways you could have gone astray. We’ll look at some of those and how you track them down in the next section.

Check your understanding

    debug-1-2: Debugging is:
  • tracking down programming errors and correcting them.
  • Programming errors are called bugs and the process of finding and removing them from a program is called debugging.
  • removing all the bugs from your house.
  • Maybe, but that is not what we are talking about in this context.
  • finding all the bugs in the program.
  • This is partially correct. But, debugging is more than just finding the bugs. What do you need to do once you find them?
  • fixing the bugs in the program.
  • This is partially correct. But, debugging is more than just fixing the bugs. What do you need to do before you can fix them?
Next Section - 3.4. 👩‍💻 Beginning tips for Debugging