Tutorial Playlist

Python Tutorial for Beginners


The Best Tips for Learning Python

Lesson - 1

How to Install Python on Windows?

Lesson - 2

Top 10 Python IDEs in 2022: Choosing The Best One

Lesson - 3

A Beginner’s Guide To Python Variables

Lesson - 4

Understanding Python If-Else Statement

Lesson - 5

Python Numbers: Integers, Floats, Complex Numbers

Lesson - 6

Python Strings | Simplilearn Python Tutorial

Lesson - 7

The Basics of Python Loops

Lesson - 8

Python For Loops Explained With Examples

Lesson - 9

Introduction to Python While Loop

Lesson - 10

Everything You Need to Know About Python Arrays

Lesson - 11

All You Need To Know About Python List

Lesson - 12

How to Easily Implement Python Sets and Dictionaries

Lesson - 13

A Handy Guide to Python Tuples

Lesson - 14

Everything You Need to Know About Python Slicing

Lesson - 15

Python Regular Expression (RegEX)

Lesson - 16

Learn A to Z About Python Functions

Lesson - 17

Objects and Classes in Python: Create, Modify and Delete

Lesson - 18

Python OOPs Concept: Here's What You Need to Know

Lesson - 19

An Introduction to Python Threading

Lesson - 20

Getting Started With Jupyter Network

Lesson - 21

PyCharm Tutorial: Getting Started with PyCharm

Lesson - 22

The Best NumPy Tutorial for Beginners

Lesson - 23

The Best Python Pandas Tutorial

Lesson - 24

An Introduction to Matplotlib for Beginners

Lesson - 25

The Best Guide to Time Series Analysis In Python

Lesson - 26

An Introduction to Scikit-Learn: Machine Learning in Python

Lesson - 27

A Beginner's Guide To Web Scraping With Python

Lesson - 28

Python Django Tutorial: The Best Guide on Django Framework

Lesson - 29

Top 10 Reason Why You Should Learn Python

Lesson - 30

10 Cool Python Project Ideas For Beginners in 2021

Lesson - 31

The Best Ideas for Python Automation Projects

Lesson - 32

12 Tips On How To Become a Python Developer

Lesson - 33

The Best Guide for RPA Using Python

Lesson - 34

Comprehending Web Development With PHP vs. Python

Lesson - 35

The Best Tips for Learning Python - REMOVE

Lesson - 36

The Best Way to Learn About Box and Whisker Plot

Lesson - 37

An Interesting Guide to Visualizing Data Using Python Seaborn

Lesson - 38

The Complete Guide to Data Visualization in Python

Lesson - 39

Everything You Need to Know About Game Designing With Pygame in Python

Lesson - 40

The Complete Simplified Guide to Python Bokeh

Lesson - 41

Top 150 Python Interview Questions and Answers for 2022

Lesson - 42

The Supreme Guide to Understand the Workings of CPython

Lesson - 43
Everything You Need to Know About Python Slicing

Python is a widely used, high-level, general-purpose programming language—often used to develop GUI applications and web applications. It is incredibly appealing in the discipline of rapid application development because it offers dynamic typing and binding options. In this article, we will be learning about an essential topic in Python programming: Python slicing.

What Is an Index?

An index is a position of an individual character or element in a list, tuple, or string. The index value always starts at zero and ends at one less than the number of items.


Fig: Index position

Negative indexes enable users to index a list, tuple, or other indexable containers from the end of the container, rather than the start.

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What Is Slicing?

Slicing is the extraction of a part of a string, list, or tuple. It enables users to access the specific range of elements by mentioning their indices. 

Syntax: Object [start:stop:step]

  • “Start” specifies the starting index of a slice 
  • “Stop” specifies the ending element of a slice
  • You can use one of these if you want to skip certain items



Fig: Python slicing

Note: The search will start at index one (included) and ends at index six (not included).

The following image shows some examples of slicing in a string and tuple:


Fig: Additional slicing examples

Slice with Negative Indices

Negative slicing begins at the end of the list.


Fig: Slicing using negative indices

Specify Step of the Slicing

You can follow a specific step in order to skip certain items. 



Fig: Stepped slicing

In the above example, the string ‘SIMPLILEARN’ is sliced from indexes one through seven. However, because the step size was set as number two, you will receive every second character in the output starting from the first index.

Reversing Elements of Data Structure

We can use a negative step to reverse the elements of a data structure.



Fig: Reversing elements using negative step

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Slice() Function in Python

The slice() method extracts a section of data and returns it as new data, without modifying it. This means users can take a specific range of elements without changing it.

Syntax: slice(start,stop,step)



Fig: slice() function

Insert and Delete Multiple Items Using Slicing

1. Slice insertion in Python

Users can insert items into a list without replacing other elements. 



Fig: Inserting elements using Python slicing

2. Slice deletion in Python

Users can delete multiple items out of the data structure by using a del statement.



Fig: Delete list items using Python slicing

Note: Tuple object does not support item deletion.

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In this article, we discussed two key concepts: Python slicing and indexing. We looked at how slicing, negative slicing, and step-indexing works through various examples. Both concepts are essential for understanding Python. 

If you have any questions, please leave them in the comments section, and we'll have our experts answer them for you.

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About the Author


Simplilearn is one of the world’s leading providers of online training for Digital Marketing, Cloud Computing, Project Management, Data Science, IT, Software Development, and many other emerging technologies.

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