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Testing Strategies

  Testing Strategies 1. Importance of Testing Strategies    - Ensures correctness, completeness, and quality of software    - Identifies errors, gaps, and missing requirements    - Helps in reducing and removing errors to improve software quality    - Verifies if software meets specified requirements 2. Testing Techniques and Approaches    - Component-level testing to integration testing    - Different techniques suitable at different stages of testing    - Incremental testing approach for better effectiveness    - Involvement of both developers and independent test groups 3. Distinction between Testing and Debugging    - Testing focuses on finding errors and verifying requirements    - Debugging is the process of identifying and fixing errors    - Both activities are important but serve different purposes Topic: Benefits of Software Testing 1. Cost-Effectiveness    - Identifying bugs early saves money in the long run    - Fixing issues in the early stages is less expensive 2. Security

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Python - Loops

 In general, statements are executed sequentially: The first statement in a function is executed first, followed by the second, and so on. There may be a situation when you need to execute a block of code several number of times.

Programming languages provide various control structures that allow for more complicated execution paths.

A loop statement allows us to execute a statement or group of statements multiple times. The following diagram illustrates a loop statement −

Loop Architecture

Python programming language provides following types of loops to handle looping requirements.

Sr.No.Loop Type & Description
1while loop

Repeats a statement or group of statements while a given condition is TRUE. It tests the condition before executing the loop body.

2for loop

Executes a sequence of statements multiple times and abbreviates the code that manages the loop variable.

3nested loops

You can use one or more loop inside any another while, for or do..while loop.

Loop Control Statements

Loop control statements change execution from its normal sequence. When execution leaves a scope, all automatic objects that were created in that scope are destroyed.

Python supports the following control statements. Click the following links to check their detail.

Let us go through the loop control statements briefly

Sr.No.Control Statement & Description
1break statement

Terminates the loop statement and transfers execution to the statement immediately following the loop.

2continue statement

Causes the loop to skip the remainder of its body and immediately retest its condition prior to reiterating.

3pass statement

The pass statement in Python is used when a statement is required syntactically but you do not want any command or code to execute.

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