Скачать или смотреть How to Measure Execution Time in Your Python To-Do List App with Task and ToDoList Classes

Learn how to add execution time measurement to your Python To-Do List application using the `Task` and `ToDoList` classes. Improve your coding skills with this easy-to-follow guide.
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How to Measure Execution Time in Your Python To-Do List App

When building applications, tracking how long tasks take to execute can be very informative. In this guide, we will explore how to measure execution time in a simple Python To-Do List app using classes. This will allow us to determine how long each task takes to complete and improve our understanding of time management in programming. Let’s dive into it!

The Initial Setup

We started with a basic setup that consists of two classes: Task and ToDoList. Below is a quick overview of the functionalities:

Task: Represents an individual task with a status of whether it is finished or not.

ToDoList: Stores a list of tasks and prints the current state of the list.

Here is how the classes were initially set up:

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The Challenge

After implementing the basic functionality, the next step was to incorporate execution time tracking for each task. We wanted the output to reflect how long each task took to complete, which would look like this:

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In this output, the [1 s] indicates that the task took one second to complete while [--- s] signifies that the task is still ongoing.

Implementing Execution Time Tracking

To achieve this, we will modify our Task class to include start_time and end_time attributes. Here’s how:

1. Tracking Start and End Time

You’ll first want to import the time module, which will allow us to capture the current time when tasks are started and finished. Here’s how you can do it:

[[See Video to Reveal this Text or Code Snippet]]

2. Updating the ToDoList Class

Next, we will adjust the ToDoList class to store entire Task objects instead of just their names. Here’s the modified version of the ToDoList class:

[[See Video to Reveal this Text or Code Snippet]]

3. Putting It All Together

Now, let’s see how to use these classes when creating a To-Do list with tasks, including timing:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

With these changes, we can effectively track the execution time of tasks in our To-Do List application. Each task will now display how long it took from when it was added to when it was marked as completed.

Remember that accurate execution time is essential for understanding your task management efficiency. Happy coding!