Python is one of the world's most popular programming languages, used for everything from web development and automation to artificial intelligence, data science, and machine learning.
Its simple syntax, versatility, and massive ecosystem of libraries make it a popular choice for beginners and experienced developers alike.
In this guide, we'll explore some of the most common uses of Python and why it remains one of the most valuable programming languages to learn today.
Python consistently ranks among the most widely used programming languages in the world and remains a favourite among developers working in software development, data science, automation, and artificial intelligence.
What is Python used for?
#1: Python for Task Automation
Python serves as an excellent tool for developing programs that automate various repetitive tasks, a process commonly referred to as scripting.
This scripting capability extends to handling files and directories, enabling tasks such as file creation, renaming, conversion, splitting, merging, deletion, error checking, duplicate detection, text pattern verification, and content updating.
Additionally, Python automation facilitates internet information retrieval and downloading, online form completion and submission, and regular notification or email dispatch. Manual execution of these activities would prove tedious, time-consuming, and error-prone.
Leveraging Python scripts, however, expedites these processes, enhancing efficiency and freeing up valuable time and energy for more innovative endeavors.
#2: Python for web applications
Did you know that some major companies were created using Python? Check out this list:
- Dropbox
- Netflix
- Spotify
- 21% of Facebook’s infrastructure codebase
- Youtube
Python is often used to develop the back end of a website or application—the parts that a user doesn’t see. Python’s role in web development can include sending data to and from servers, processing data and communicating with databases, URL routing, and ensuring security. Python offers several frameworks for web development. Commonly used ones include Django and Flask.
Some web development jobs that use Python include back-end engineers, full-stack engineers, Python developers, software engineers, and DevOps engineers.
#3: Python for Artificial Intelligence and Machine Learning
Python has become the go-to programming language for artificial intelligence (AI) and machine learning.
Many of the world's most widely used AI frameworks and tools, including TensorFlow, PyTorch, LangChain, and Hugging Face, are built around Python.
Developers use Python to:
- Build AI-powered applications
- Train machine learning models
- Create chatbots and AI assistants
- Work with large language models (LLMs)
- Develop AI automation workflows
As AI continues transforming industries, Python remains one of the most valuable programming languages for aspiring developers and technology professionals.
#4: Python for data science
Data science is one of the most popular uses for Python. Data scientists and analysts use programming languages like Python and R to manipulate data for reporting, predictive analysis, and more. But while R can be a great choice, many Data Scientists prefer to learn Python because its English-like syntax can be easier to learn.
Harvesting insights from data is no easy task, and data scientists don’t have time to waste with compiling and complicated syntax. Python’s simple syntax and extensive selection of third-party libraries make it a great choice for anyone considering a career in data science.
#5: Python for data-heavy academic research
An important factor contributing to Python's popularity is its open-source nature and free availability for commercial usage.
Unlike oher software like MATLAB, Python offers unrestricted access for users to explore and utilize its capabilities without financial constraints.
Luis Otavio Martins shared a story about how his friend was using MATLAB for research purposes. When he wanted to patent his work, he found out he needed to pay a lot of royalties to Mathworks.
While not everyone is a researcher and you might not be looking to get a patent on anything, there are other professions for which data is as important.
Now, you might not be a researcher, but there are tons of other jobs where data is a big deal. Think journalists who need facts to back up their stories or hospitals figuring out which meds work best for patients.
So, if you're into research, Python is your new best friend. You can use it to gather, mess around with, visualize, and study data. Take Gregory Saxton, for instance. He was doing social media research and used Python to write some scripts.
These scripts could grab tweets, change data into something readable, and even analyze language. Python makes research way easier!
#6: Python for games
While Python is not as powerful as Unity when it comes to programming games, it allows you to build something fun with it!
It’s possible to create simple games using the programming language, which means it can be a useful tool for quickly developing a prototype. Similarly, certain functions (such as dialogue tree creation) are possible in Python.
#7: Python for finance
Python is increasingly being utilised in the world of finance, often in areas such as quantitative and qualitative analysis. It can be a valuable tool in determining asset price trends and predictions, as well as in automating workflows across different data sources.
As mentioned already, Python is an ideal tool for working with big data sets, and there are many libraries available to help with compiling and processing information. As such, it’s one of the preferred languages in the finance industry.
#8: Python for SEO
Another slightly surprising entry on our list of Python uses is in the field of search engine optimisation (SEO). It’s an area that often benefits from automation, which is certainly possible through Python. Whether it’s implementing changes across multiple pages or categorising keywords, Python can help.
Emerging technologies such as natural language processing (NLP) are also likely to be relevant to those working in SEO. Python can be a powerful tool in developing these NLP skills and understanding how people search and how search engines return results.
Why is Python so popular?
Python's popularity can be attributed to several factors, including:
- A simple syntax that resembles natural language, making it easy to read, understand, and quickly build projects.
- High versatility, as it can be used for various tasks such as web development and machine learning.
- Suitability for beginners, making it a popular choice for those new to coding.
- Open-source nature, allowing for free use and distribution, including for commercial purposes.
- A vast and expanding archive of modules and libraries, created by third-party users to extend Python's capabilities.
- A large and active community that contributes to the growth of Python's modules and libraries and provides support for other programmers. This community makes it easy to find solutions to problems, as many have likely encountered and solved similar issues before.
In summary, while there are many other programming languages, Python's simplicity, versatility, accessibility, and extensive community support contribute to its popularity among coders
There are many reasons why you might want to start learning Python. It’s a future-proof and in-demand skill that’s required across all kinds of industries.
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FAQ
What is Python mainly used for?
Python is commonly used for web development, automation, artificial intelligence, machine learning, data science, and software development.
Is Python good for beginners?
Yes. Python is often recommended for beginners because its syntax is easy to read and understand compared to many other programming languages.
Is Python used for AI?
Yes. Python is the most widely used programming language in artificial intelligence and machine learning, powering many popular AI frameworks and tools.
Can I build websites with Python?
Yes. Frameworks such as Django and Flask allow developers to build websites, APIs, and web applications using Python.
Should I learn Python or JavaScript first?
It depends on your goals. Python is often recommended for beginners interested in automation, AI, and data science, while JavaScript is essential for web development and building interactive websites.