Python Examples for Beginners: Python Code to Convert Decimal to Binary Using Recursion

(Python Tutorials for Citizen Data Scientist)

Python Code to Convert Decimal to Binary Using Recursion

In this program, you will learn to convert decimal number to binary using recursive function.


Decimal number is converted into binary by dividing the number successively by 2 and printing the remainder in reverse order.

How to convert decimal to binary?

Source Code

# Function to print binary number using recursion
def convertToBinary(n):
   if n > 1:
       convertToBinary(n//2)
   print(n % 2,end = '')

# decimal number
dec = 34

convertToBinary(dec)
print()

Output

100010

This program works only for whole numbers. It doesn’t work for real numbers having fractional values such as: 25.545.64 and so on. We encourage you to create Python program that converts decimal numbers to binary for all real numbers on your own.

 

Python Basics for Beginners – Python | Variable Types

 

Python Examples for Beginners: Python Code to Convert Decimal to Binary Using Recursion

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!