Using string operators to concatenate objects in Python

By Abhinash & Priya Chetty on August 22, 2022

The previous article explained the functions involved in manipulating string data in Python, such as extracting or splicing string objects. This article explains the methods of concatenating strings by using string operators. However, it is important to understand the differences in the terms ‘string sequence’ ‘string object’, and ‘string literals’ in Python.

String sequence and string literals are similar

String sequence refers to the entire sequence of characters. However, there is a very similar term, ‘string literal’, which refers to that sequence of characters, present between single or double quotes, which has been given as input. Essentially, string literals and string sequences are similar.

x = 'Hi, how are you?'
Hi, how are you?

In this example, variable x has a string sequence and string literal, while x is the variable. However, when Python reads the variable x, it stores the information as a string object. When the variable x is printed, the Python Interpreter will not create a new string, but simply consider the reference of the existing string object.


String objects are immutable and cannot be changed or manipulated over time. To change the string from ‘Hi, how are you?’ to ‘Hi, how have you been?’ reassign variable x to overwrite its contents.

Using the var.replace() method to

Another way to overwrite existing string objects is by using the var.replace() method.

x = ‘Hi, how have you been?’
print(x.replace(“how”, “where”))
Hi, where have you been?

Using the string operator ‘+’ for concatenation

The ‘+’ operator in Python can also be used to join string objects, end-to-end, to create a new string object in Python. The act of linking objects in a series is known as concatenation.


It is also possible to include escape sequences with concatenation. This is especially useful when the sequence has been assigned to a variable. So instead of rewriting the entire string sequence, simply edit the sequence using appropriate escape sequences.

x = 'Dont cry'
Dont create

Concatenating using var.join()

Concatenation can also be done by using the function, str.join(). This function combines two different string objects by passing one string through another.

Suppose, we have a string object, ‘Maryhadalittlelamb’ and we now want to add ‘_’ between each letter.

a = 'Maryhadalittlelamb'

Using the string operator ‘*’ to multiply the object ‘n’ times

The ‘*’ can be used to multiply the string object ‘n’. Whereas n is the number of times the string has to be concatenated.

x = 'Strong '
Strong Strong Strong Strong Strong Strong Strong Strong Strong Strong 

Priya is the co-founder and Managing Partner of Project Guru, a research and analytics firm based in Gurgaon. She is responsible for the human resource planning and operations functions. Her expertise in analytics has been used in a number of service-based industries like education and financial services.

Her foundational educational is from St. Xaviers High School (Mumbai). She also holds MBA degree in Marketing and Finance from the Indian Institute of Planning and Management, Delhi (2008).

Some of the notable projects she has worked on include:

  • Using systems thinking to improve sustainability in operations: A study carried out in Malaysia in partnership with Universiti Kuala Lumpur.
  • Assessing customer satisfaction with in-house doctors of Jiva Ayurveda (a project executed for the company)
  • Predicting the potential impact of green hydrogen microgirds (A project executed for the Government of South Africa)

She is a key contributor to the in-house research platform Knowledge Tank.

She currently holds over 300 citations from her contributions to the platform.

She has also been a guest speaker at various institutes such as JIMS (Delhi), BPIT (Delhi), and SVU (Tirupati).


I am currently working as a Research Associate. My work is centered on Macroeconomics with modern econometric approach. Broadly, the methodological research focuses on Panel data and Times series data analysis for causal inference and prediction. I also served as a reviewer to Journals of Taylor & Francis Group, Emerald, Sage.