1. Indentation: In Python, indentation is not just for readability. It indicates a block of code. Each level of indentation represents a different block, and incorrect indentation can lead to errors. For example, all the code within a function should be indented one level under the function definition. Developers should adhere to this rule because it is essential for the Python interpreter to understand the code's structure and execute it correctly.

2. Naming Conventions: Python has certain rules and conventions for naming variables, functions, classes, modules, etc. For example, variable names should be lowercase, with words separated by underscores as necessary to improve readability (e.g., my_variable). Class names should normally use the CapWords convention. Developers should adhere to these rules to ensure their code is readable and maintainable. It also helps other developers understand the code better when working in a team.

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1. Indentation: In Python, indentation is not just for readability. It indicates a block of code. Each level of indentation represents a different block, and incorrect indentation can lead to errors. For example, all the code within a function should be indented one level under the function definition. Developers should adhere to this rule because it is essential for the Python interpreter to understand the code's structure and execute it correctly.

2. Naming Conventions: Python has certain rules and conventions for naming variables, functions, classes, modules, etc. For example, variable names should be lowercase, with words separated by underscores as necessary to improve readability (e.g., my_variable). Class names should normally use the CapWords convention. Developers should adhere to these rules to ensure their code is readable and maintainable. It also helps other developers understand the code better when working in a team.

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1. Indentation: In Python, indentation is not just for readability. It indicates a block of code. Each level of indentation represents a different block, and incorrect indentation can lead to errors. For example, all the code within a function should be indented one level under the function definition. Developers should adhere to this rule because it is essential for the Python interpreter to understand the code's structure and execute it correctly.

2. Naming Conventions: Python has certain rules and conventions for naming variables, functions, classes, modules, etc. For example, variable names should be lowercase, with words separated by underscores as necessary to improve readability (e.g., my_variable). Class names should normally use the CapWords convention. Developers should adhere to these rules to ensure their code is readable and maintainable. It also helps other developers understand the code better when working in a team.

What are two python syntax rules and why should developers adhere to them?

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