Tutorial Playlist

Python Tutorial for Beginners

Overview

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
The Best Ideas for Python Automation Projects

Python is a popular, advanced, interpreted, interactive, and object-oriented scripting language. Python is designed to be highly readable. It often uses English keywords, on the other hand, other languages use punctuation. It also has fewer syntactic constructions than the other scripting languages.

Python is an extensively used programming language in the fields of web development, game development, data analytics, and machine learning. This article on Python Automation Project Ideas will help you learn about some of the standard and exciting projects you can create using Python.

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Machine Learning Prediction

Machine Learning is a massive field of technology, both in terms of software and hardware. Its applications spread across almost every industrial and commercial area. Now Python is commonly used for implementing machine learning models and algorithms.

Some of the most popular Python libraries that are used for solving machine learning problems are :

  • Numpy - NumPy adds support for large, multi-dimensional arrays and matrices, along with an extensive collection of mathematical functions to work on these arrays.
  • Pandas – Pandas is known to offer data structures and operations that works towards manipulating numerical tables and time series.
  • Scikit-learn - Scikit-learn is a machine learning library for the Python programming language. It features various classification, regression and clustering algorithms, including support vector machines and other algorithms.
  • Tensorflow - TensorFlow is also a library for machine learning. It can be used across a range of tasks but focuses on training and inference of deep neural networks.

Some of the application areas where Python automation is extensively employed are :

  • Industries – Industries have been using machines for a long time now, but with the introduction of "smart" machines, Python has come into use in industrial machines and appliances.
  • Hospitals – Hospitals use advanced medical equipment for monitoring various body conditions. The newer machines can suggest actions based on specific situations, and for that, Python programming is required.
  • Drones – Drones have become popular recently, and they are mostly powered by Artificial Intelligence, which is powered by Python.

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Web Scraping

Web Scraping is a common technique used to extract large amounts of data from websites and web applications, and Python is the go-to language for web scraping.

  • Beautiful Soup is a Python library that is popularly used for parsing HTML and XML documents.
  • It creates parse trees that help extract the data easily.
  • It will help for Selenium and Pandas libraries to be installed alongside Beautiful Soup so that data can be appropriately structured and become ready for further use.

The extracted data from a website is usually stored in a local file on the computer or in a database in the form of tables.

Share Market / Cryptocurrency Tracker

The prices of the share market and cryptocurrencies go up and down ever so often, so Python is used to track and predict the market for profitable investment. 

Even though the markets are volatile, Python automation can provide a trend for a better purchase or sale.

  • LSTM (Long Short-Term Memory) is an artificial recurrent neural network architecture popularly used for applications like stock market predictions.
  • LSTM models are powerful, especially for retaining long-term memory and therefore can provide trends using large amounts of data.

A well-informed investment can go a long way, and that's where automated stock price trackers come in, which of course, are powered by Python.

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Chatbot

Chatbots are becoming increasingly common, especially in business and e-commerce fields, aiming to provide a superior customer service experience to buyers.

Chatbots are usually developed using Natural Language Processing libraries like NLTK, spaCy, etc. These libraries can take hundreds of thousands of sentences and then create a new sentence as a response to a question.

  • Chatbots are automated customer assistance service powered by Python.
  • They used to be only text-based, but now more and more chatbots offer voice support with the advancement of natural language processing libraries based on Python.

File Management

Python is used for automated file management – creating, deleting, renaming, and other file operations. A handful of Python scripts can perform full-blown file management operations automatically or at a scheduled time.

  • Python scripts are used to perform file management operations, either on the same filesystem or remotely.
  • They are instrumental when files have to be modified over the network using some API technologies.

Data Mining

Data Mining is a process of turning raw data into useful information using data science and statistical methods.

  • Python libraries like Numpy and Pandas are used for making sense of the raw extracted data from any source, including a local file or a website on the internet.
  • ML models like Regression and Classification are further applied to the structured data to bring out some results.

Big companies often use data mining to turn raw data into meaningful information and gain insights.

Send Reminder Emails and Texts

Python is often used in workplaces to automate and schedule the sending/receiving of emails and texts.

  • Python packages – email, smtplib, are used for sending emails using just Python.
  • You can turn a time-consuming task into an automated/scheduled task.

Emails and texts are usually automated or scheduled, among other tasks within a team, to focus on further development tasks. This increases productivity and encourages better time management in a group.

Update Excel Sheets Automatically

Spreadsheets are commonly used to store large amounts of data. Going through and editing thousands of data cells in a spreadsheet can be daunting and so Python is also be used to edit spreadsheets using Python scripts.

  • Python provides a module that allows your Python programs to read and modify Excel spreadsheet files, and not just excel spreadsheets, but other formats too like OpenOffice sheets or Libre Office sheets, or any spreadsheet.
  • Excel is a popular spreadsheet application by Microsoft, but there are many alternatives in case you don't want to pay for it.
  • OpenPyXL is a module based on Python that you can install to work with Excel spreadsheets and automate tasks using Python.
  • Excel sheets can be daunting, especially when there is lots of data in spreadsheets.
  • Python helps automate the filtering of data based on specified factors depending on the data type.
  • Python provides CRUD (Create Update Delete), along with other features on Excel spreadsheets.

Fill Online Forms

Filling up online forms can be tiring, but what should you do when you have to fill thousands of similar forms? The best way is to write a relevant Python script for that particular form and let it fill all the forms automatically.

  • Python is used to fill up online forms automatically.
  • Any suitable Python script can extract data from a file and fill an equivalent online form.
  • You can automate filling up online forms like Google forms or other sign-up / login forms.
  • Using vanilla Python scripts, forms can be submitted without any user interference.

You need to provide data equivalent to what is required to fill up a particular form on the internet. For example, if a specific google form has fields for name, age, and gender, a Python script should be written precisely to fill those fields.

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Internet of Things

The Internet of Things is the network of physical things embedded with some software, sensors, and other technologies that help them connect to other devices on a network.

  • Python provides various modules for developing services and applications for many IoT devices like Arduino, Raspberry Pi, etc.
  • Packages like mraa, sockets, mysqldb, and others are popularly used for IoT applications.
  • Python is used as a primary language for IoT because of its compact syntax and fast runtime speed.
  • IoT applications spread across various fields, like smart appliances, wearables, etc.
  • The ultimate concept being an "Interconnected World" more than ever.

So we have now covered the 10 most popular Python Automation Project Ideas. (There are many other uses of Python as well. But these are the most trending according to the current scenario.) You may use up these ideas for your work as well as college or office projects.

Sentiment Analysis

Sentiment analysis is the most trending Python Project Idea worked upon in various fields. It uses natural language processing, computational linguistics, text analysis, and biometrics to systematically identify, extract, and study affective states and personal information. We use this technique in various fields, such as e-commerce and review/poll systems.

Some of the most popular Python libraries used for sentiment analysis are:
  • NLTK: The Python NLTK module aims at providing a complete solution to a Natural Language Processing problem. NLTK helps with everything from splitting sentences from paragraphs, splitting up words, recognizing the part of speech of those words, highlighting the principal subjects, and then allowing the machine to understand what the text is all about.
  • Scikit-learn: Scikit-learn is a machine learning library that features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN. It is also designed to inter-operate with Python libraries like NumPy and Pandas.

Customer Segmentation

Customer segmentation refers to the process of dividing customers into groups based on common characteristics or features so companies can tend to each group effectively and appropriately.

Some of the most popular Python libraries used for customer segmentation are:

  • Numpy: NumPy is a Python library that adds support for large, multi-dimensional arrays and matrices, along with a massive collection of high-level mathematical functions to operate on these arrays.
  • Pandas: Pandas is a Python library for data manipulation and analysis. It offers data structures and operations for manipulating numerical tables and time series.
  • Scikit-learn: Scikit-learn is a machine learning library that features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN. It is also designed to inter-operate with Python libraries like NumPy and Pandas.
  • Matplotlib: Matplotlib is a Python library used for plotting charts and graphs from the derived data.

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Object Detection

Object detection is a computer vision method and a popular Python Project Idea that allows us to identify and locate objects in an image or video. We can use this technique for various tasks: to count items in a scene and determine and track their precise locations while accurately labeling them.

Some of the most popular Python libraries used for object detection are:

  • TensorFlow: TensorFlow is a popular Python library used for deep learning. It can be used across various tasks but is mostly focused on training and inference of deep learning and neural networks.
  • OpenCV: OpenCV (Open Source Computer Vision Library) is an open-source Python library used for machine learning and computer vision. It provides a common infrastructure for computer vision applications and speeds up machine perception in commercial products. 
  • Keras: Keras is an open-source library that provides a Python interface for artificial neural networks. Keras used to support multiple machine learning and deep learning libraries, but since version 2.4, it acts as an interface only for the TensorFlow library.

Twitter Bot

A Twitter bot can control and manage a Twitter account via the Twitter API. The bot can autonomously perform all possible tasks such as tweeting, re-tweeting, liking, following, unfollowing, among others.

Some of the most popular Python libraries used for Twitter bot are:

  • Tweepy: Tweepy is a Python library for accessing Twitter API. This library enables Python to communicate with the Twitter platform and use its API.
  • Tkinter: Tkinter is the most commonly used method for developing a GUI (Graphical User Interface). It is a standard interface to the Tk GUI toolkit shipped with Python. Tkinter is the fastest and easiest way to create GUI applications.

Web-Crawler

A web crawler, often shortened to crawler, is an internet bot that systematically browses the World Wide Web, mostly for web indexing.

Web search engines and some other websites use web-crawling or similar methods to update their web content or indices of other sites' web content. Web crawlers copy pages for processing by a search engine, which indexes the downloaded pages so that users can search more efficiently.

Some of the most popular Python libraries used for web crawler are:

  • Scrapy: Scrapy is a web-crawling Python framework. It can also be used to extract data using APIs or as a general-purpose web crawler.
  • Beautiful Soup: Beautiful Soup is a Python package for parsing HTML and XML documents. It creates a parse tree for parsed pages that can extract data from HTML, which is useful for web scraping.

Currency Converter

The currency converter is another Python Project idea that involves developing a simple software or an application that converts one currency into another to check its corresponding value.

Some of the most popular Python libraries used for currency converter are:

  • Requests: The requests module allows you to send HTTP requests using Python. The HTTP request returns a Response Object with all the response data (content, encoding, status, etc.).
  • Forex: Forex is a free Foreign exchange rate and currency conversion Python library. It provides several features like a list of all currency rates, BitCoin price for all currencies, converting the amount to BitCoins, etc. 
  • Tkinter: Tkinter is the most commonly used method for developing a GUI (Graphical User Interface). It is a standard interface to the Tk GUI toolkit shipped with Python. Tkinter is the fastest and easiest way to create GUI applications.

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Calculator

The calculator is the perfect project for Python beginners to get their hands dirty with.

Some of the most popular Python libraries used are:

  • Math: Python has a built-in module that you can use for mathematical tasks. The math module has a set of methods and constants.
  • Tkinter: Tkinter is the most commonly used method for developing a GUI (Graphical User Interface). It is a standard interface to the Tk GUI toolkit shipped with Python. Tkinter is the fastest and easiest way to create GUI applications.

Dice Rolling Simulator

Dice Rolling Simulator is a simple but effective Python project to showcase in a resume or portfolio. This will build the credibility of knowing Python basic concepts.

Some of the most popular Python libraries used are:
  • Random: Random is a built-in Python module used for generating and working with random values. Random provides various methods that can be used for creating and manipulating random variables.
  • Tkinter: Tkinter is the most commonly used method for developing a GUI (Graphical User Interface). It is a standard interface to the Tk GUI toolkit shipped with Python. Tkinter is the fastest and easiest way to create GUI applications.

Rock Paper Scissors

Rock Paper Scissors is a classic game and a fun Python project for beginners to gain practical knowledge of Python without getting bored.

Some of the most popular Python libraries used are:

  • Random: Random is a built-in Python module used for generating and working with random values. Random provides various methods that can be used for creating and manipulating random variables.
  • Tkinter: Tkinter is the most commonly used method for developing a GUI (Graphical User Interface). It is a standard interface to the Tk GUI toolkit shipped with Python. Tkinter is the fastest and easiest way to create GUI applications.
  • Pygame: Pygame is a cross-platform set of Python modules designed for coding games. It provides computer graphics and sound libraries that are intended to be used with Python.

Tic Tac Toe

Tic Tac Toe is another classic and the last Python Project Idea we discuss in this article. We can implement it using mathematical functions provided by Python. It is a wonderful project for grasping the fundamentals of Python.

Some of the most popular Python libraries used are:

  • Random: Random is a built-in Python module used for generating and working with random values. Random provides various methods that can be used for creating and manipulating random variables.
  • Numpy: NumPy is a Python library that adds support for large, multi-dimensional arrays and matrices, along with a massive collection of high-level mathematical functions to operate on these arrays.
  • Pygame: Pygame is a cross-platform set of Python modules designed for coding games. It provides computer graphics and sound libraries that are intended to be used with Python.
Looking forward to make a move to programming? Take up the Python Training Course and begin your career as a professional Python programmer.

Get Ahead of the Curve and Become a Python Developer Today

If you are wondering the right way to enter this prevalent tech industry, we'd suggest you enroll in a comprehensive Python Training Course. To achieve all the practical, work-ready skills, you need to become employable in the field immediately upon completion. If you are looking for additional information before enrolling in a program, check out our YouTube video that provides a quick introduction to programming or coding.

We hope this article on Python Automation Project Ideas was helpful for you. Do you have any specific questions for us? Mention them in this article's comments section, and we'll have our experts answer them for you at the earliest!

About the Author

Ravikiran A SRavikiran A S

Ravikiran A S works with Simplilearn as a Research Analyst. He an enthusiastic geek always in the hunt to learn the latest technologies. He is proficient with Java Programming Language, Big Data, and powerful Big Data Frameworks like Apache Hadoop and Apache Spark.

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