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Python Tutorial | Numeric Types

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In Python, "numeric types" are data types used to represent and manipulate numerical values. The main numeric types are:
1. **Integers (`int`)**: Whole numbers, positive or negative, without a fractional component (e.g., -10, 0, 42).
2. **Floating-Point Numbers (`float`)**: Numbers that include a decimal point, used to represent real numbers (e.g., 3.14, -0.001, 2.0).
3. **Complex Numbers (`complex`)**: Numbers with a real part and an imaginary part, written in the form `a + bj`, where `a` is the real part, and `b` is the imaginary part (e.g., 3 + 4j).
Each type supports arithmetic operations and various methods for numerical computations.
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1. **Integers (`int`)**: Whole numbers, positive or negative, without a fractional component (e.g., -10, 0, 42).
2. **Floating-Point Numbers (`float`)**: Numbers that include a decimal point, used to represent real numbers (e.g., 3.14, -0.001, 2.0).
3. **Complex Numbers (`complex`)**: Numbers with a real part and an imaginary part, written in the form `a + bj`, where `a` is the real part, and `b` is the imaginary part (e.g., 3 + 4j).
Each type supports arithmetic operations and various methods for numerical computations.
Interested in learning Python for finance in a self-study environment? PyFi's best-in-class content has been studied by thousands of students worldwide and distributed to the top financial institutions in the world.
*****
–
Join our new “Introduction to Python” cohort, held live via zoom.
#python #pythonforfinance #pyfi #datascience #investmentbanking #finance #financecareer #financeprofessional #wallstreet