REST APIs with Flask and Python - Optimising Your Final Code and Request Parsing

REST APIs with Flask and Python - Optimising Your Final Code and Request Parsing

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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Quizizz Content

FREE Resource

The video tutorial covers request parsing and the importance of avoiding code duplication. It explains how to manage JSON payloads effectively and highlights the drawbacks of copying and pasting code, such as maintenance issues and potential inconsistencies. The tutorial also introduces an error-first approach to coding, emphasizing the need to handle errors before proceeding with data operations. This method ensures efficiency and prevents unnecessary data processing. The video concludes with a summary of the key points discussed.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it generally a bad practice to copy and paste code without modification?

It is difficult to read.

It makes the code run slower.

It can lead to inconsistent updates and errors.

It increases the file size.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential consequence of not updating duplicated code in all locations?

The code will not compile.

The program will run faster.

The code will become more secure.

The user experience may suffer due to inconsistencies.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the benefit of moving the parser to the class level?

It makes the parser faster.

It allows the parser to be used in multiple methods without duplication.

It reduces the number of lines of code.

It makes the parser private to the class.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the error-first approach improve code execution?

It speeds up the execution by skipping error checks.

It ensures that all errors are handled before proceeding with data processing.

It allows for parallel processing of data and errors.

It reduces the need for error logging.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why should data loading occur after error checks?

To increase the speed of data loading.

To make the code more readable.

To ensure data is loaded only if necessary.

To reduce the number of variables used.