Companies that use IPython
It provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter. It has a support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.
210
companies
List of companies using IPython
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-d "{
\"company_technology_slug_or\": [
\"ipython\"
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IPython
Employees16kRevenue$422MConsumer ServicesIPythonHigh confidence
Employees7.9kRevenue$1.1BSoftware DevelopmentIPythonHigh confidence
Employees12kRevenue$1BHospitals and Health CareIPythonHigh confidence
Employees515Revenue$80MTravel ArrangementsIPythonHigh confidence
Employees3kRevenue$100MProfessional Training and CoachingIPythonHigh confidence
Employees1.3kSoftware DevelopmentIPythonHigh confidence
Employees530Revenue$225MAdvertising ServicesIPythonHigh confidence
Employees42ConstructionIPythonHigh confidence
Employees41Revenue$8.9MSoftware DevelopmentIPythonHigh confidence
Employees750Revenue$800MEntertainment ProvidersIPythonHigh confidence
We have data on 210 companies and users that use IPython. Our IPython users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
How to target IPython users
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
IPython, a powerful interactive computing tool, provides an enhanced environment for data science and scientific computing. Offering a robust interactive shell, a Jupyter notebook interface, and support for multiple programming languages, IPython facilitates seamless integration, data visualization, and parallel computing. Its user-friendly features and extensive capabilities make it a preferred choice among data scientists, researchers, and developers for analyzing, exploring, and sharing computational workflows.
IPython falls under the category of Shells, which are software interfaces that allow users to interact with underlying operating systems. Specifically tailored for Python programming, IPython serves as an advanced Python shell with added functionalities such as code autocompletion, inline plotting, and rich media display. By combining the features of a traditional shell with interactive computing capabilities, IPython elevates the Python coding experience, enabling users to execute code snippets, visualize data, and iterate on algorithms efficiently.
Founded in 2001 by Fernando Perez, IPython originated from Perez's desire to create a more interactive and user-friendly computing environment for scientific research and data analysis. Over the years, the project has evolved into a comprehensive tool for interactive computing, garnering a dedicated user base and community support. With regular updates, enhancements, and contributions from a vibrant developer community, IPython continues to be a prominent player in the data science ecosystem.
In terms of current market share, IPython maintains a significant presence in the data science and scientific computing domains, with a growing user base across academia, industry, and research institutions. As the demand for interactive computing tools and Jupyter-based workflows increases, IPython is poised to expand its market share further. With continuous improvements, compatibility with emerging technologies, and integration with popular data science libraries, IPython is expected to witness a steady growth trajectory in the foreseeable future.