Зміст курсу

Optimization Techniques in Python

1. Understanding and Measuring Performance

Introduction to Python Performance Timing and Benchmarking Basics Measuring Function Performance Challenge: Implementing Benchmarking

2. Efficient Use of Data Structures

Lists and NumPy Arrays Sets and Tuples Challenge: Choosing Optimal Data Structures Using the collections Module Challenge: Handling Customer Requests

3. Enhancing Performance with Built-in Tools

Leveraging map() and List Comprehensions Handling Large Files Maximizing Sorting Efficiency Efficient String Operations

Challenge: Handling Customer Requests

Завдання

Swipe to start coding

You are tasked with managing a customer support system where customer requests are handled in the order they arrive. However, high-priority requests must be added to the front of the queue. To achieve this:

Initialize the appropriate data structure to maintain the queue of customer requests.
If the required data structure needs to be imported, include the appropriate import statement. Otherwise, remove the import line.
Add regular customer requests to the end of the queue.
Add high-priority customer requests to the front of the queue.
Process requests in the order they should be handled (removing from the front).

Рішення

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