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Printing Fibonacci Series in Python: A Step-by-Step Tutorial

  • July 6, 2023
  • CODE OF GEEKS
  • 0
What’s here -:
  • Step 1: Understanding the Problem
  • Step 2: Developing the Algorithm
  • Step 3: Writing the Python Code
  • Step 4: Code Explanation
  • Step 5: Dry Run the Code
Printing Fibonacci Series in Python
Printing Fibonacci Series in Python


Step 1: Understanding the Problem

We need to print the first n terms of the Fibonacci series, where each term is the sum of the two preceding terms. The Fibonacci series starts with 0 and 1, and subsequent terms are generated by adding the two previous terms.

Step 2: Developing the Algorithm

To print the first n terms of the Fibonacci series, we can use a loop to generate each term. We’ll initialize the first two terms (0 and 1) and then iterate n-2 times to generate and print the remaining terms by adding the previous two terms.

Step 3: Writing the Python Code

Here’s the Python code to print the first n terms of the Fibonacci series:

def fibonacci(n):
    # Check if n is less than or equal to 0
    if n <= 0:
        print("Invalid input. Please enter a positive integer.")
        return

    # First two terms of the Fibonacci series
    term1 = 0
    term2 = 1

    # Print the first two terms
    print(term1, term2, end=" ")

    # Generate and print the remaining terms
    for _ in range(n - 2):
        next_term = term1 + term2
        print(next_term, end=" ")

        # Update the terms for the next iteration
        term1, term2 = term2, next_term

# Test the function
n = 10
fibonacci(n)

O/P

0 1 1 2 3 5 8 13 21 34



Step 4: Code Explanation

1. We define a function fibonacci that takes the parameter n, representing the number of terms to be printed.

2. We first check if n is less than or equal to 0. If so, we print an error message and return from the function.

3. We initialize term1 and term2 as the first two terms of the Fibonacci series (0 and 1).

4. We print the first two terms using the print function, specifying end=” ” to ensure they are printed on the same line with a space between them.

5. We use a loop that iterates n – 2 times (since the first two terms are already printed).

6. Inside the loop, we calculate the next term by adding term1 and term2 and store it in next_term.

7. We print the next_term, again using end=” ” to print it on the same line with a space.

8. We update term1 and term2 for the next iteration by assigning term2 to term1 and next_term to term2.

Step 5: Dry Run the Code

Sure! Let’s do a dry run of the code iteration-wise for n = 10:

Iteration 1:

  • First term: 0
  • Second term: 1
  • Output: 0 1

Iteration 2:

  • Next term: 1 + 0 = 1
  • Output: 0 1 1

Iteration 3:

  • Next term: 1 + 1 = 2
  • Output: 0 1 1 2

Iteration 4:

  • Next term: 1 + 2 = 3
  • Output: 0 1 1 2 3

Iteration 5:

  • Next term: 2 + 3 = 5
  • Output: 0 1 1 2 3 5

Iteration 6:

  • Next term: 3 + 5 = 8
  • Output: 0 1 1 2 3 5 8

Iteration 7:

  • Next term: 5 + 8 = 13
  • Output: 0 1 1 2 3 5 8 13

Iteration 8:

  • Next term: 8 + 13 = 21
  • Output: 0 1 1 2 3 5 8 13 21

Iteration 9:

  • Next term: 13 + 21 = 34
  • Output: 0 1 1 2 3 5 8 13 21 34

Iteration 10:

  • No more iterations since n = 10 has been reached.

The final output will be: 0 1 1 2 3 5 8 13 21 34.

Each iteration calculates the next term by adding the previous two terms and appends it to the output. The process continues until the desired number of terms (n) is reached.

Feel free to modify and experiment with the code to understand it better and explore other variations or optimizations.





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Table of Content – Python

  1. Introduction to Python ▼
    • Python and its features
    • Key Differences : C vs Python
    • Key Differences : Java vs Python
    • Python Flavors
    • PVM and Memory Management in Python

  2. Python Fundamentals ▼
    • 'Hello World' using Python
    • Comments in Python
    • Variables and Garbage Collection in Python
    • Datatypes in Python
    • Determining the Datatype of Literal | type() method
    • Tokens in Python
    • Keywords in Python
    • Identifiers and Naming Convention in Python
    • Literals in Python

  3. Python Operators ▼
    • Operators in Python
    • Python Mathematical Functions

  4. Python User Inputs ▼
    • Taking Inputs | input() function in Python

  5. Python Control Statements ▼
    • Control Statements in Python
    • if-elif-else Statements in Python
    • Looping in Python
    • while loop in Python
    • while-else loop in Python
    • for loop in Python
    • for-else loop in Python
    • Infinite loops in Python
    • Nested loops in Python
    • break Statement in Python
    • continue Statement in Python
    • pass Statement in Python
    • assert Statement in Python
    • return Statement in Python

  6. Python Functions ▼
    • Introduction to Python Functions
    • Python Functions vs Python Methods
    • Local and Global Variables in Python
    • Formal and Actual Arguments in Python
    • Recursion in Python Functions
    • Lambda Functions in Python
    • Function Decorators in Python
    • Function Generators in Python

  7. Python Strings ▼
    • Strings in Python and Basic Operations
    • String Immutability Explained
    • strip() method in Strings
    • find() method in Strings
    • count() method in Strings
    • replace() method in Strings
    • split() method in Strings
    • Switching Cases in Strings
    • startswith() method in Strings
    • endswith() method in Strings

  8. Python Lists ▼
    • Python Lists Basics
    • index() method in list
    • append() method in list
    • insert() method in list
    • copy() method in list
    • remove() method in list
    • pop() method in list
    • sort() method in list
    • reverse() method in list
    • clear() method in list
    • Nested Lists in Python
    • List Comprehensions in Python

  9. Python Sets ▼
    • Python Sets and Basic Operations
    • Adding Elements in Python Sets
    • Removing Elements in Python Sets
    • Union in Python Sets
    • Intersection in Python Sets

  10. Python Tuples ▼
    • Python Tuple Basics
    • Python Tuples Immutability Explained
    • Python Tuples Methods
    • Python Nested Tuples

  11. Python Dictionary ▼
    • Python Dictionary Basics
    • Python Dictionary Sorting
    • Python Dictionary List to Dictionary Conversion
    • Passing Dictionary to Function

  12. Python Classes and Objects ▼
    • Classes and Objects
    • self variable in Python
    • __init__() method in Python
    • Inner Classes
    • Instance variable and methods
    • Class variable and methods

  13. Python OOPs ▼
    • Inheritance and its types
    • super() method in Python
    • Abstract class| Abstract method in Python

  14. Python Exception Handling ▼
    • Errors in Python and its types
    • Exception Handling in Python
    • Types of Exceptions in Python
    • Custom Exceptions in Python

  15. Python File Handling ▼
    • File Handling in Python
    • with statement in Python

  16. Python DateTime Modules ▼
    • datetime module in Python

  17. Python MultiThreading ▼
    • Multithreading in Python

  18. Python Requests Module ▼
    • Python GET Request
    • Python POST Request
    • Python PUT Request

Python Programs

  1. Fibonacci Series till 'N' Numbers

  2. Sum of Digits of a Number

  3. Checking Prime Number

  4. Checking Armstrong Number

  5. Finding Reverse Number (Traditional)

  6. Finding Reverse Number (Pythonic)

  7. Finding Prime Numbers within Range

  8. Finding Prime Numbers within Range Using SOE

  9. Checking Leap year

  10. Calculating Simple Interest

  11. Generate Random Numbers

  12. Calculate Compound Interest

  13. Area of Circle

  14. ASCII Value of Character
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