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Concept of Errors | Handling Structure
Error Handling in Python
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Error Handling in Python

Error Handling in Python

1. Handling Structure
2. Exception Usage

Concept of Errors

Many users of various programming languages dislike errors, as they indicate flaws in the code. In reality, an error is a user's aid. If there were none, it would be difficult to identify issues in our code.

Errors can be caused by various factors, such as incorrect coding, invalid input, system failures, or unforeseen circumstances. Identifying and fixing errors is crucial for maintaining the reliability and functionality of software and systems. In programming, errors are classified into different types based on their origin and impact, as mentioned earlier: syntax errors, logic errors, and runtime errors. Proper error handling and debugging techniques are essential for effectively dealing with errors and ensuring the robustness of programs and applications.

Errors in programming are categorized into several main types:

  1. Syntax Errors: Arise from non-compliance with the syntax rules of the programming language. These are the most basic type of errors and are usually easily detected during program compilation or interpretation.
  2. Logic Errors: These are errors where the program compiles and runs without any issues, but it fails to produce the expected result due to flawed algorithms or logic in the code.
  3. Runtime Errors: Occur during program execution and are typically associated with unforeseen conditions, such as division by zero, use of invalid values, or interactions with unavailable resources.

Errors in programs are an integral part of the development process, and their detection and correction are essential tasks for programmers. Debugging and testing methods are commonly used during development to identify and rectify errors.

In addition, errors can be used to optimize algorithms. We will talk about this later.

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Seção 1. Capítulo 1
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