Python - Web Usage Statistics and Market Share


Discover the power of data-driven decision making with our Web Usage Statistics and Market Share analytics of Python.

Gain unparalleled insights into the rapidly evolving digital landscape and stay ahead of the competition with a comprehensive analysis of Python key performance metrics.

Your Image

Websites using Python



Description of Python: Python is an interpreted and general-purpose programming language.

Python is used by 1.29% of websites in the Programming languages category.

Business and Finance is the most popular main category among the websites using Python.

Computing is the most popular subcategory among the websites that are using Python.

The technologies that are most often used together with Python are Blogger, Java, OpenGSE, Google Analytics, Google AdSense, jQuery, Google Plus, Google Sign-in, Google Font API, Google Workspace.

Our AI based recommender engine (trained on 100 million data points) suggests that websites using Python may also be interested in using these other technologies: Bokeh, Django, Blogger, mod_wsgi, Reddit, OpenGSE, Polymer, gunicorn, mod_python, Java.



Top IAB Industry Verticals using Python





Top 10 technologies that are most often used together with Python



Technology% of use together with PythonWebsite
Blogger54.02http://www.blogger.com
Java50.91http://java.com
OpenGSE50.83http://code.google.com/p/opengse
Google Analytics45.13http://google.com/analytics
Google AdSense40.12https://www.google.fr/adsense/start/
jQuery36.59https://jquery.com
Google Plus32.11http://plus.google.com
Google Sign-in31.81https://developers.google.com/identity/sign-in/web
Google Font API29.46http://google.com/fonts
Google Workspace24.2https://workspace.google.com/




Technologies that are most interesting for website using Python, as determined by our AI recommender



TechnologyAI Recommendation Score Website
Bokeh0.53https://bokeh.org
Django0.52https://djangoproject.com
Blogger0.4http://www.blogger.com
mod_wsgi0.32https://code.google.com/p/modwsgi
Reddit0.3http://code.reddit.com
OpenGSE0.28http://code.google.com/p/opengse
Polymer0.27http://polymer-project.org
gunicorn0.24http://gunicorn.org
mod_python0.22http://www.modpython.org
Java0.2http://java.com


Distribution of domains using Python over IAB1 verticals











Introduction to Python

Python is a high-level, interpreted programming language that is used for web development, scientific computing, data analysis, artificial intelligence, and more. It is known for its simplicity and ease of use, as well as its large standard library and community support. Python code is readable and concise, making it a popular choice for beginners as well as experienced developers. It is open-source and can run on various platforms, including Windows, macOS, and Linux.

Practical Applications of Python


1. Web Development: Python can be used to develop web applications by using frameworks like Django and Flask.
2. Data Analysis: Python can be used for data analysis and manipulation by using libraries like Pandas and NumPy.
3. Machine Learning: Python can be used to develop machine learning models and data mining algorithms by using libraries like Scikit-learn and TensorFlow.
4. Automation: Python can be used for automating tasks and processes by using libraries like PyAutoGUI and Selenium.
5. Gaming: Python can be used for game development by using libraries like Pygame and Arcade.
6. Robotics: Python can be used for programming robots and automating the movement of robots by using libraries like ROS and PySerial.
7. Finance: Python can be used for financial analysis and algorithmic trading by using libraries like Quantlib and Zipline.
8. Scientific Computing: Python can be used for scientific computing by using libraries like SciPy and Matplotlib.

Benefits and Advantages of Python

- Easy to learn and use
- Open-source with a large and supportive community
- Cross-platform compatibility
- Versatile and applicable in a wide range of fields (data science, web development, artificial intelligence, machine learning, etc.)
- Large standard library and many third-party libraries available
- Supports multiple programming paradigms (procedural, object-oriented, functional, etc.)
- Dynamic typing and automatic memory management
- Enables rapid prototyping and development due to its concise and expressive syntax
- Suitable for both small and large-scale projects
- Integration with other languages and technologies



Distribution of domains using Python over IAB2 verticals













Most popular websites using Python



WebsiteIAB category 1IAB category 2OpenRank
reddit.comTechnology & ComputingForum/Community7.78
eventbrite.comEvents and AttractionsConcerts & Music Events7.13
blogger.comHobbies & InterestsSoap Opera TV7.06
opera.comFine ArtOpera7.02
tate.org.ukFine ArtMuseums & Galleries5.7
washingtontimes.comNews and PoliticsPolitical Event5.62
tvguide.comTelevisionReality TV5.34
caltech.eduScienceBiological Sciences5.23
biologicaldiversity.orgScienceBiological Sciences5.22
openshot.orgTechnology & ComputingVideo5.19




Less popular websites using Python



WebsiteIAB category 1IAB category 2OpenRank
assemblyofshadows.comBusiness and FinanceSoap Opera TV0
sinesisters.comEducationHomeschooling0
kythirastudios.comAutomotiveAuto Shows0
chaoslive.orgMusic and AudioMusic TV0
gulfwalkinalert.comCareersRemote Working0


Distribution of domains using Python over 1 million most popular domains















Distribution of domains using Python over domain ages



The average age of websites using Python is 10.3 years.

The average page rank (measure of backlink strength) of websites using Python is 2.42.











5 technologies that are less often used together with Python



Technology% of use together with PythonWebsite
51.LA0.007https://www.51.la
Ad Lightning0.007https://www.adlightning.com
Ada0.007https://www.ada.cx
Adzerk0.007http://adzerk.com
Akamai mPulse0.007https://developer.akamai.com/akamai-mpulse-real-user-monitoring-solution