# Learn How to Import Math in Python in Just 30 Seconds

Python is a high-standard language related to programming as well as object-oriented. Therefore, Python is very attractive for Rapid Application Development as it is highly created in the data structure, also combined with dynamic typing and dynamic binding. Apart from this, Python is also used in scripting (glue language). Moreover, Python is not very complex, and it is simple to learn. As a result, it decreases the expenses of program maintenance. Additionally, Python enhances modularity and code reuse by encouraging modules and packages. And Python’s interpreter and substantial standard library are available free of charge in source or binary form for all major platforms and are freely distributable.

Apart from this, programs like Python offer a large amount of productivity. However, let’s be on track: how** to use or import maths in Python? **It is essential to learn how** to import maths in Python if you are interested in learning this programming language.** Keep reading for a better understanding.

## Maths in Python: What is it?

Maths is a type of module in this programming language. It is a simple and forever available module. If you want to use maths functions in Python, you need to import maths in Python by using import maths.

Furthermore, It provides access to the C library’s fundamental functions. For instance,

**# Square root calculation**

**Import maths**

**math.sqrt(4)**

This module is not capable of dealing with complicated data types. The cmath module is the module’s more complex equivalent.

## Python Maths Functions

Functions | Explanation |

ceil(x) | Finds the smallest integer greater than or equal to x. |

copysign(x, y) | x with the sign of y |

fabs(x) | absolute value of x |

factorial(x) | factorial of x |

floor(x) | largest integer less than or equal to x |

fmod(x, y) | the remainder when x is divided by y |

frexp(x) | the mantissa and exponent of x as the pair (m, e) |

fsum(iterable) | accurate floating point sum of values in the iterable |

isfinite(x) | True if x is neither an infinity nor a NaN (Not a Number) |

isinf(x) | True if x is a positive or negative infinity |

isnan(x) | True if x is a NaN |

ldexp(x, i) | Returns x * (2**i) |

modf(x) | the fractional and integer parts of x |

trunc(x) | the truncated integer value of x |

exp(x) | Returns e**x |

expm1(x) | Returns e**x – 1 |

log(x[, b]) | Returns the logarithm of x to the base b (defaults to e) |

log1p(x) | Returns the natural logarithm of 1+x |

log2(x) | Returns the base-2 logarithm of x |

log10(x) | Returns the base-10 logarithm of x |

pow(x, y) | Returns x raised to the power y |

sqrt(x) | Returns the square root of x |

acos(x) | Returns the arc cosine of x |

asin(x) | Returns the arc sine of x |

atan(x) | Returns the arc tangent of x |

atan2(y, x) | Returns atan(y / x) |

cos(x) | Returns the cosine of x |

hypot(x, y) | Returns the Euclidean norm, sqrt(x*x + y*y) |

sin(x) | Returns the sine of x |

tan(x) | Returns the tangent of x |

degrees(x) | Converts angle x from radians to degrees |

radians(x) | Converts angle x from degrees to radians |

acosh(x) | Returns the inverse hyperbolic cosine of x |

asinh(x) | Returns the inverse hyperbolic sine of x |

atanh(x) | Returns the inverse hyperbolic tangent of x |

cosh(x) | Returns the hyperbolic cosine of x |

sinh(x) | Returns the hyperbolic cosine of x |

tanh(x) | Returns the hyperbolic tangent of x |

erf(x) | Returns the error function at x |

erfc(x) | Returns the complementary error function at x |

gamma(x) | Returns the Gamma function at x |

lgamma(x) | Returns the natural logarithm of the absolute value of the Gamma function at x |

pi | Mathematical constant, the ratio of circumference of a circle to its diameter (3.14159…) |

e | mathematical constant e (2.71828…) |

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## How to Import Math in Python?

This module gives access to the mathematical functions provided by the C standard.

If you need support for complex numbers, use the corresponding functions from the cmath module. Many users do not wish to study the mathematics required to comprehend complex numbers, thus distinguishing between functions that support complex numbers and those that do not. In addition, receiving an exception instead of a challenging result permits earlier identification of the random complex number provided as a parameter so that the programmer may determine how and why it was generated in the first place.

This module offers the following functions. Except when specifically indicated otherwise, all return values are floats.

**Before a program can use a library module, it must first import it.**

- Import is a command that loads a library module into a program’s memory.
- Then use the module name. Thing name to refer to things from the module.
- The symbol. in Python stands for “part of.”
- Using one of the standard library’s maths modules:

**PYTHON – import maths**

**print(‘pi is’, math.pi)**

**print(‘cos(pi) is’, math.cos(math.pi))**

**OUTPUT: **

**pi is 3.141592653589793**

**cos(pi) is -1.0**

- The module’s name must refer to each item.

**Use the Help Feature to Learn More About Library Modules.**

- Works in the same way that help for a function does.

**PYTHON: help(maths)**

**OUTPUT: **

**Help on module maths:**

**NAME**

** maths**

**MODULE REFERENCE**

** http://docs.python.org/3/library/math**

** Python produces the following documentation automatically**

** There are several sources. There may be errors, omissions, or implementation details, and these may differ from Python to Python**

** Its implementation. For more information, refer to the module reference**

** The above location is listed.**

**DETAILS**

** There is always access to this module. Users can access the following:**

** The C standard defines mathematical functions.**

**FUNCTIONS**

** acos(x, /)**

** Return the arc cosine (measured in radians) of x.**

**To Make Programs Shorter, Import Particular Things From a Library Module.**

- To load only specific things from a library module, use the form… import… command.
- Then, without using the library name as a prefix, refer to them directly.

**PYTHON:**

** from math import cos, pi**

**print(‘cos(pi) is’, cos(pi))**

**OUTPUT: **

**cos(pi) is -1.0**

**When Importing a Library Module, Create an Alias to Shorten Programs.**

- When importing a library, use import… as… to give it a short alias.
- Then use that more temporary name to refer to things in the library.

**PYTHON: **

**import maths as m**

**print(‘cos(pi) is’, m.cos(m.pi))**

**OUTPUT: **

**cos(pi) is -1.0**

- This term is commonly used for libraries that are extensively utilized or have long names.
- The matplotlib plotting library, for example, is frequently aliased as mpl.
- However, because readers must learn your program’s aliases, it might make programs more difficult to understand.

**Built-in Math Functions**

- To determine the lowest or highest value in an iterable, use the min() and max() functions:

**EXAMPLE **

x = min(5, 10, 25)

y = max(5, 10, 25)

print(x)

print(y)

- The abs() method returns the provided number’s absolute (positive) value:

**EXAMPLE**:

x = abs(-7.25)

print(x)

- The function pow(x, y) returns the value of x raised to the power of y. (xy).

**EXAMPLE **

**This function returns 4 to the power of 3 (the same as 4 * 4 * 4):**

**The power of four combined with the power of three is x**

**print(x)**

## Maths Module

Math is a built-in module in Python that adds to the set of mathematical functions.

It would help if you first imported the math module to utilize it:

Import math

After you’ve imported the math module, you may begin using its methods and constants. For example, sqrt() returns a number’s square root:

**Example**

import math

x = math.sqrt(64)

print(x)

The math. ceil() method rounds a number to the closest integer upwards during the math. On the other hand, floor () practice rounds a number to the nearest integer downwards and returns the result:

**Example**

import math

x = math.ceil(1.4)

y = math.floor(1.4)

print(x) # returns 2

print(y) # returns 1

There’s the math. The value of PI (3.14…) is returned by the pi constant:

**Example**

import math

x = math.pi

print(x)

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