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operators in Python | #pythonkachilla #aikachilla

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Video Description:
Python provides a rich set of operators to manipulate and evaluate expressions. Operators in Python can be grouped into arithmetic, comparison, logical, identity, membership, and bitwise operators.
Arithmetic operators like +, -, *, /, %, //, and ** are used to perform mathematical operations between operands. Comparison operators like and compare values and evaluate to True or False. Logical operators and, or, not are used to combine conditional statements.
The identity operators is and is not check if two objects are located in the same part of the memory. Membership operators in and not in are used to check if a value is present in a sequence. Bitwise operators like perform bit-level manipulation of integers.
Understanding Python operators allows you to evaluate complex expressions, build conditional logic, and implement algorithms efficiently. The operator module provides function versions of operators for easier reusability and readability. Operator overloading also enables custom classes to define behavior for operators.
In this comprehensive guide, you’ll learn about the syntax, semantics, and use cases of all Python operators through detailed explanations and code examples. You’ll cover operator precedence rules, combination of operators, and best practices on leveraging operators for faster and more Pythonic code.
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Explore other free courses here:
🔥 Streamlit course for dash boards and webapps for data science (playlist):
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🔥-Follow me on following platforms:
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#dataScience
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for more details:
#datascience
---------------------------------------------------------------------------------------------------------------------------------------
Video Description:
Python provides a rich set of operators to manipulate and evaluate expressions. Operators in Python can be grouped into arithmetic, comparison, logical, identity, membership, and bitwise operators.
Arithmetic operators like +, -, *, /, %, //, and ** are used to perform mathematical operations between operands. Comparison operators like and compare values and evaluate to True or False. Logical operators and, or, not are used to combine conditional statements.
The identity operators is and is not check if two objects are located in the same part of the memory. Membership operators in and not in are used to check if a value is present in a sequence. Bitwise operators like perform bit-level manipulation of integers.
Understanding Python operators allows you to evaluate complex expressions, build conditional logic, and implement algorithms efficiently. The operator module provides function versions of operators for easier reusability and readability. Operator overloading also enables custom classes to define behavior for operators.
In this comprehensive guide, you’ll learn about the syntax, semantics, and use cases of all Python operators through detailed explanations and code examples. You’ll cover operator precedence rules, combination of operators, and best practices on leveraging operators for faster and more Pythonic code.
---------------------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------------
Explore other free courses here:
🔥 Streamlit course for dash boards and webapps for data science (playlist):
---------------------------------------------------------------------------------------------------------------------------------------
🔥-Follow me on following platforms:
---------------------------------------------------------------------------------------------------------------------------------------
#dataScience
---------------------------------------------------------------------------------------------------------------------------------------
for more details:
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