Числа фибоначчи питон генератор

py-fibonacci 0.5.2

Generates Fibonacci series with an end number OR a length argument.

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Лицензия: MIT License

Требует: Python >=3.6

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Fibonacci Series

Fibonacci Series is a list of numbers in which one number on the series is the sum of the previous two numbers.

def fibonacci(end=None, start=0, inclusive=True, length=None): . 

Installation and usage

from fibonacci import fibonacci

e.g. fibonacci(39) -> returns a list, you may assign it to a variable or print it.

This python package of fibonacci series, provides two use cases:

1. With an ‘end’ number argument:: so it is possible to list the fibonacci series up to that number and start (default: 0) number argument is optional. An optional boolean inclusive (default: True) argument makes the end number inclusive or exclusive.

fibonacci(39) -> only end number is given. there are several fibonacci numbers upto 39 starting at 0. fibonacci(39, 3) -> end and start numbers are given. there are several fibonacci numbers upto 39 starting at 3. fibonacci(39, 3, False) -> end, start numbers and inclusive=False are given. there are several fibonacci numbers upto 39 (exclusive) starting at 3. 

1. With a ‘length’ number argument:: so it is possible to set the length of the series and start (default: 0) number argument is optional.

fibonacci(length=20) -> only length of the series is given. there are 20 fibonacci numbers starting at 0. fibonacci(start=5, length=20) -> start number and length of the series is given. there are 20 fibonacci numbers starting at 5. 

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Simple Python Fibonacci Generator of Infinite Size Explained with Example

In an earlier post, we have seen a Python generator.

As per the name “Generator”, is a function that generates the values (more than one or a series of values).

What is Fibonacci Number Series?

It is a sequence of numbers in which every next term is the sum of the previous two terms.

However, this logic doesn’t apply to the first two terms of the sequence. The first two terms are initialized to 1.

The Fibonacci series looks like

Here is a simple Python program to print the Fibonacci series…

def fibonacci(): a=0 b=1 for i in range(6): print(b) a,b= b,a+b obj = fibonacci()

In a single function call, we are printing all the Fibonacci number series.

So, instead of using the function, we can write a Python generator so that every time we call the generator it should return the next number from the Fibonacci series.

Basically, we are using yield rather than return keyword in the Fibonacci function.

Python Fibonacci Generator

def fibonacciGenerator(): a=0 b=1 for i in range(6): yield b a,b= b,a+b obj = fibonacciGenerator() print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj))

If you look at the above program, you can see, the generator preserves the state. When you call next time, it executes from where it had terminated.

Python Fibonacci Generator of Infinite Size

Instead of using for loop, we are using, while conditional loop in Python. When we pass True as an argument, while-condition always holds True.

def fibonacciGenerator(): a=0 b=1 while(True): yield b a,b= b,a+b obj = fibonacciGenerator() print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj))

1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 1597 2584

Now you can call fibonacciGenerator() function as many times as you want. Every time you call it, it returns the next number from the Fibonacci series.

I have been asked to write a Python Fibonacci generator in many Python interview questions. Understand the concepts of how Generator works.

There can be many interview coding questions that can be asked on the Fibonacci series. For example, how to check if the given number is Fibonacci or not.

Any doubt? Write in the comment.

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Fibonacci Generator Using Python

The Fibonacci sequence is a mathematical formula that arranges elements in an interesting arrangement, as each element in the sequence is the sum of the previous two elements. This numerical phenomenon is utilized in various computer languages such as C, C++, JAVA, and Python, but regardless of the language, the logic behind its implementation is the same. To explore the logic of this sequence and see how it is implemented in Python, let’s examine the Fibonacci series.

What is the Fibonacci Sequence?

Starting from zero, the Fibonacci sequence consists of consecutive, additive terms that culminate in an infinite series: 0,1,1,2,3,5,8… Therefore, in order to generate the Fibonacci series, the sum of two numbers must first be determined; this sum then serves as the basis for the following number in the series.

def fibonacci_sequence(): a=0 b=1 for i in range(7): print(b) a,b= b,a+b obj = fibonacci_sequence()

To begin, the initialization of the Fibonacci generator is declared, and the starting calculation is given a value of 1. From here, the sum of two numbers is printed in sequence, completing the Fibonacci series. The for loop is used up to 7 numbers of sequences. Then, the object is created to print the sequence as a result.

How to Generate One Value At A Time From the Sequence?

To generate one value at a time in the Fibonacci sequence, we are using the next() function of Python. The next () function always returns the next value/output from the sequence. This method is very useful when we need only a few values from the Fibonacci sequence. This prints only those values for which the next() function is implemented. The object is created to print the elements from the sequence. Let’s try out this method.

def fibonacci_Generator(): a=0 b=1 for i in range(6): yield b a,b= b,a+b obj = fibonacci_Generator() print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj))

In this code, the yield method is used, which works like a return statement for objects. Here, only the first four values are printed using next() function. Let’s see the implementation of this code.

You can see in the output only the first four values are printed as an output.

Fibonacci Generator Using Python For Infinite Values

The Fibonacci generator will be able to print the value for infinite times. For this method, we are using a while loop instead of a normal for loop. The value of the while loop will be set to TRUE so that the loop will not exit in the future. Whenever we call the object, it will print the value, and the sequence will continue. This way, we can develop a Fibonacci generator for infinite values. Let’s try the code.

def fibonacci_Generator(): a=0 b=1 while(True): yield b a,b= b,a+b obj = fibonacci_Generator() print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj)) print(next(obj))

In this code, the functions like next() and yield are used to print the next values. The only difference is the use of a while loop instead of for loop. Let’s see the output.

Whenever we call the object, the next value will print in the sequence. In this way, we can print infinite values of this sequence, as you can see in the results.

Use Of Fibonacci Sequence In Various Domain

Machine Learning and Deep Learning Models

The Fibonacci sequence is widely used in the machine learning and deep learning domain. This sequence is based on logic and mathematical formula, so the logic helps in pattern searching and optimization techniques. Based on this sequence and patterns, different problems are solved. The model, which is purely based on ratios, arithmetic equations, and fractions, uses this sequence as a reference point.

Algorithm Techniques

In different algorithms like dynamic programming, optimization, Fibonacci searching, and sorting, we can use the Fibonacci sequence. These algorithms are very complex, but this Fibonacci sequence is considered a base for understanding these problems. Many algorithms in the searching and sorting domain are implemented using the Fibonacci sequence.

Biological Models

The different models for the detection of biological patterns of stems, plants, and shells are based on the numerical sequence of Fibonacci. So, understanding this sequence is very important to predict and classify these things using biological patterns.

Market Analysis and Trading Patterns

The Fibonacci sequence is used to develop the code/ models which will predict the trading patterns and market analysis. The main use of the Fibonacci sequence is pattern searching, so this is very useful for predicting the results.

Design and Art concepts

In the design and art concepts, we can use the Fibonacci sequence to take ratios of different elements in the art. These patterns from the Fibonacci sequence make art pieces more aesthetic and precise. The use of this technique in the art makes it more attractive visually and precise by measurements.

Summary

In this article, we have seen different techniques and methods to implement the Fibonacci sequence for a finite and infinite number of elements. This article also gives details about the use of the Fibonacci sequence in different domains. Hope you will enjoy this article.

References

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