Data analysis and machine learning
Web development
Automation or scripting
Software testing and prototyping
Everyday tasks

Here’s a closer look at some of these common ways Python is used.


Data analysis and machine learning
Python has become a data science standard, allowing data analysts and other professionals to perform complex statistical computations, produce data visualizations, design machine learning algorithms, handle and analyze data, and perform other data-related tasks using the language.

Python can create a variety of data visualizations, including line and bar graphs, pie charts, histograms, and three-dimensional plots. TensorFlow and Keras are two Python frameworks that let programmers create data analysis and machine learning systems more rapidly and efficiently.



Web development
Python is frequently used to create a website's or application's back end—the elements that the user doesn't see. Sending data to and from servers, processing data and interfacing with databases, URL routing, and ensuring security are all examples of Python's role in web development. Python has a number of web development frameworks. Django and Flask are two popular ones.

Back-end engineers, full-stack engineers, Python developers, software engineers, and DevOps engineers are some of the web development positions that employ Python.


Automation or scripting
If you find yourself repeating a task frequently, automating it with Python can help you work more efficiently. Scripting is the process of writing code that is used to create these automated procedures. Automation can be used to check for flaws across numerous files, convert files, perform simple math, and delete duplicates in data in the coding industry.

Relative amateurs can use Python to automate simple computer chores like renaming files, discovering and downloading web information, and sending emails or SMS at predetermined intervals.


Software testing and prototyping
In software development, Python can aid in tasks like build control, bug tracking, and testing. With Python, software developers can automate testing for new products or features. Some Python tools used for software testing include Green and Requestium.

If you find yourself repeating a task frequently, automating it with Python can help you work more efficiently. Scripting is the process of writing code that is used to create these automated procedures. Automation can be used to check for flaws across numerous files, convert files, perform simple math, and delete duplicates in data in the coding industry.

Relative amateurs can use Python to automate simple computer chores like renaming files, discovering and downloading web information, and sending emails or SMS at predetermined intervals.

Everyday tasks
Python isn't just for data scientists and programmers. For people in less data-intensive occupations, such as journalists, small business owners, or social media marketers, learning Python can open up new doors. Python can also help non-programmers ease some of their daily duties. Here are a few examples of chores that Python can help you automate:

Keep an eye on the stock market or crypto prices
Keep an umbrella handy whenever it rains by sending yourself a text message
Make sure your grocery list is up to date
File renaming in bulk
How to convert text files to spreadsheets
Assign chores randomly to family members
Automatically fill out online forms

To learn more about "How to get started with Python", watch this Python Training Video on Youtube.