Welcome to Python Errors! This repository contains a comprehensive list of common Python errors and their solutions. Whether you're a beginner or an experienced developer, encountering errors is a part of the coding journey. Our goal is to help you understand and resolve these errors efficiently.
This repository is organized into various categories based on the type of errors. Each error entry includes a description of the error, common causes, and potential solutions. You can browse through the categories or use the search functionality to find specific errors you are facing.
Here is a list of common error categories. Click on each category to explore the errors within it:
Syntax Errors - Errors related to incorrect syntax.
- IndentationError - Issues related to improper indentation.
- SyntaxError - General syntax errors in your code.
- NameError - Errors due to undefined variables or functions.
Type Errors - Errors that occur when an operation or function is applied to an object of inappropriate type.
- TypeError - General type mismatch errors.
- AttributeError - Issues when accessing attributes that do not exist.
Value Errors - Errors related to inappropriate values.
- ValueError - General errors due to invalid values.
- IndexError - Issues with indexing lists or arrays out of range.
Import Errors - Errors that occur during the import of modules.
- ImportError - General errors when an import statement fails.
- ModuleNotFoundError - Specific errors when a module cannot be found.
IO Errors - Errors related to input/output operations.
- FileNotFoundError - Issues when trying to access files that do not exist.
- IOError - General input/output errors.
Runtime Errors - Errors that occur during the execution of the program.
- ZeroDivisionError - Issues when dividing by zero.
- OverflowError - Errors due to numerical operations that exceed limits.
Logical Errors - Errors due to incorrect logic in the code, which may not raise exceptions but produce incorrect results.
Here are some additional resources to help you understand and resolve Python errors:
- Official Python Documentation - The official guide to Python errors and exceptions.
- Stack Overflow - A community-driven platform to ask questions and find solutions to Python errors.
- Real Python Error Handling - A comprehensive guide to error handling in Python.
We welcome contributions to expand this repository with new errors or improvements to existing entries. If you have any suggestions or find any issues, please open an issue or submit a pull request. For major changes, please discuss them first in an issue.
Let's tackle these Python errors together and improve our coding skills!