### Navigation

- index
- modules |
- next |
- previous |
- Python v3.2 documentation »
- The Python Standard Library »

# 8. Numeric and Mathematical Modules

The modules described in this chapter provide numeric and math-related functions and data types. The `numbers` module defines an abstract hierarchy of numeric types. The `math` and `cmath` modules contain various mathematical functions for floating-point and complex numbers. For users more interested in decimal accuracy than in speed, the `decimal` module supports exact representations of decimal numbers.

The following modules are documented in this chapter:

- 8.1. `numbers` — Numeric abstract base classes
  - 8.1.1. The numeric tower
  - 8.1.2. Notes for type implementors
    - 8.1.2.1. Adding More Numeric ABCs
    - 8.1.2.2. Implementing the arithmetic operations
- 8.2. `math` — Mathematical functions
  - 8.2.1. Number-theoretic and representation functions
  - 8.2.2. Power and logarithmic functions
  - 8.2.3. Trigonometric functions
  - 8.2.4. Angular conversion
  - 8.2.5. Hyperbolic functions
  - 8.2.6. Special functions
  - 8.2.7. Constants
- 8.3. `cmath` — Mathematical functions for complex numbers
  - 8.3.1. Conversions to and from polar coordinates
  - 8.3.2. Power and logarithmic functions
  - 8.3.3. Trigonometric functions
  - 8.3.4. Hyperbolic functions
  - 8.3.5. Classification functions
  - 8.3.6. Constants
- 8.4. `decimal` — Decimal fixed point and floating point arithmetic
  - 8.4.1. Quick-start Tutorial
  - 8.4.2. Decimal objects
    - 8.4.2.1. Logical operands
  - 8.4.3. Context objects
  - 8.4.4. Signals
  - 8.4.5. Floating Point Notes
    - 8.4.5.1. Mitigating round-off error with increased precision
    - 8.4.5.2. Special values
  - 8.4.6. Working with threads
  - 8.4.7. Recipes
  - 8.4.8. Decimal FAQ
- 8.5. `fractions` — Rational numbers
- 8.6. `random` — Generate pseudo-random numbers
  - 8.6.1. Notes on Reproducibility
  - 8.6.2. Examples and Recipes

### Navigation

- index
- modules |
- next |
- previous |
- Python v3.2 documentation »
- The Python Standard Library »