Roll Call of Companies Using Python

Companies Local to Dallas

http://www.zeomega.com/careers

 Sam Rangaswamy may be the contact.

Companies Outside of Dallas

Digital Creations

http://web.archive.org/web/20001119052700/http://www.digicool.com/
Digital Creations built its flagship product, Zope, in Python. Zope is an advanced, highly adaptable web application server and content management system in production use across the globe. Zope enables web developers and content managers to rapidly deploy interactive, dynamic, scalable, community-oriented web sites. Zope is available at http://web.archive.org/web/20001119052700/http://www.zope.org/.

eGroups (acquired by Yahoo!)

http://web.archive.org/web/20001119052700/http://www.egroups.com/
eGroups empowers people to share interests and ideas by delivering the world's best web-based email group service, a technology built in Python. Email groups facilitate group communication through the ease and convenience of a user's email account. Python has allowed eGroups to rapidly evolve its service offering as well as enable it to scale to unprecedented levels. eGroups decision to use Python helped them achieve rapid growth, leading to their acquisition by another market leader, Yahoo!.

Google.com

http://web.archive.org/web/20001119052700/http://www.google.com/
Google's mission is to organize the world's online information and to make it universally accessible and useful. Google rocketed to the top of the web portal industry by making extensive use of Python throughout its web crawler and search engine technologies (later optimized for further performance in C). Google's web crawler now spans the entire public Internet, with over 1 billion indexed URL's. The total number of searches served by Google exceeds 13 million per day.

Helix Code

http://web.archive.org/web/20001119052700/http://www.helixcode.com/
Helix Code is a startup building a free Internet desktop based on the GNOME desktop platform, for Linux and Unix. The company is headed by the leading devevelopers of the GNOME project. Helix Code ships a variety of Python programming interfaces for the GNOME libraries and its associated graphical widget set GTK+.

Hewlett Packard e-speak

http://web.archive.org/web/20001119052700/http://www.e-speak.net/
HP used Python to build a truly open Market Making Broker with XML/HTTP interfaces at all major interface points. This broker was far ahead of its time, working across a large space of market makers. Initially, Python was used only to produce the first prototype, with plans for a production version to be done in Java. After the Java-intensive product proved less stable with even fewer features than the Python prototype, Java work was discontinued and the Python prototype was reworked in order to meet critical deadlines.

IBM

http://web.archive.org/web/20001119052700/http://www.ibm.com/
IBM uses Python on OS/390 UNIX System Services to facilitate automated testing of Internet tools. IBM is using Python to create the business practice logic for the factory tool control applications that manage a semiconductor plant. Code that had been previously written in an internal, proprietary scripting language has been given new life via its port to Python.

Infoseek (acquired by Go Network)

http://web.archive.org/web/20001119052700/http://www.infoseek.com/
Ultraseek Server, Infoseek's commercial search engine product, is implemented as an elaborate multi-threaded Python program, with the primitive indexing and search operations performed by a built-in module. Most of the program is written in Python, and both a built-in spider and HTTP server can be customized with additional Python code. The program contains over 11,000 lines of Python code while the user interface contains over 17,000 lines of Python-scripted HTML templates.

ITI

http://web.archive.org/web/20001119052700/http://www.iti-oh.com/pdi/
ITI's Product Data Interoperability (PDI) business provides software tools and services enabling companies to effectively exchange, reuse, and share CAD/CAM/CAE/PDM and related engineering data among diverse software applications used throughout a manufacturing enterprise and it's supply chain. ITI has had amazing success with Python.

Lawrence Livermore National Laboratories and Los Alamos National Laboratory

http://web.archive.org/web/20001119052700/http://www.llnl.gov/ and http://web.archive.org/web/20001119052700/http://www.lanl.gov/
A group at the Lawrence Livermore National Laboratories based its new numerical engineering environment, CDAT, on Python, replacing a home-grown scripting language of ten-year standing. CDAT used Python's exceptionally versatile design to integrate C, C++, and FORTRAN subroutines, affording climate research scientists an effortless analysis of global climate model data sets.

MCI Worldcom

http://web.archive.org/web/20001119052700/http://www.mciworldcom.com/
The Data Subnet Manager, MCI Worldcom's internal frame relay configuration and provisioning suite, uses JPython for regression testing, interactive debugging, and rapid prototyping of its Java Client. They also use Python in their automated build processes and CGI scripts.

Microsoft eShop

http://web.archive.org/web/20001119052700/http://www.eshop.com/eShop/
eShop, Inc. was originally formed in December 1993 to produce desktop electronic commerce software. By November 1995, Pandora's Box had been opened -- the Internet was something that had to be addressed directly,rather than simply accounted for, and eShop had to move quickly or lose its competitive advantages. By the time eShop was acquired by Microsoft, less than a half-dozen engineers had built an entire Web-based shopping system with Python in about four months. The resulting server was stable, maintainable, robust, and scalable showing no compromise in quality for such a brief development period.

NASA

http://web.archive.org/web/20001119052700/http://www.nasa.gov/
Johnson Space Center uses Python as the standard scripting language in its Integrated Planning System. Efforts are underway to develop a modular collection of tools for assisting shuttle pre-mission planning and replacing older tools written in PERL and shell dialects. Python will also be installed in the new Mission Control Center to perform auxiliary processing integrated with a user interface shell. Ongoing developments include an automated grammar based system, whereby C++ libraries may be interfaced directly to Python via compiler techniques. This technology can be extended to other languages in the future.

Penguin Computing

http://web.archive.org/web/20001119052700/http://www.penguincomputing.com/
Penguin Computing is a leading manufacturer of Linux servers for web, database, and other enterprise uses. Much of the software developed at Penguin for internal use and for shipping with their servers is developed in Python -- after other languages proved too limiting and difficult tomaintain.

[[http://www.pybiz.com |PyBiz\\

http://web.archive.org/web/20001119052700/http://www.pybiz.com/
Python enabled a small team of senior architects at PyBiz to produce and deliver both XDisect and `eContentMgr on short schedule. It was estimated that it would have required 3 times the build time and 1.5 times the number of developers to deliver comparable functionality in Java. Building in Python allowed delivery of a working product early in the lifecycle, providing more time to evolve the product towards customers' needs as well as optimize performance of critical areas.

Real Networks

http://web.archive.org/web/20001119052700/http://real.com/
RealNetworks has developed a Python binding for their RealMedia client. It is used extensively in load testing and feature testing of both their server and client on all of their supported platforms. Additionally, RealNetworks?' build system and bug tracking system have very significant Python components.

Red Hat

http://web.archive.org/web/20001119052700/http://www.redhat.com/
In the highly competitive Linux market, easy-to-use and flexible installation technologies have become a key business differentiator. Red Hat, a leader in Linux and Open Source technologies, identified Python as a unique and powerful tool for building their installer, Anaconda.

Sapient

http://web.archive.org/web/20001119052700/http://www.shn.net/
Sapient Information Systems built the Sapient Health Network for WebMD with Python. The service provides chronically and terminally ill people with information related to their illness. All of the backend web programming uses Python, as do a large number of internal tools.

Sonics

http://web.archive.org/web/20001119052700/http://www.sonicsinc.com/
Sonics engineers use Python exclusively to construct graphical and configuration tools (the FastForward Development Environment) which provide the layout of micro-network-based system-on-chips. Their experiences over the years with many languages and systems led them to conclude that, with the available time and resources, they could never have developed the technology without Python.

Yahoo! Mail and Four11

http://web.archive.org/web/20001119052700/http://www.yahoo.com/
Yahoo! acquired a company called Four11, a technology providing both an Internet White Pages and a web-based e-mail reading system (renamed from Rocketmail to Yahoo! Mail). Both of these services were written in Python to obtain strong performance and flexibility. The Internet White Pages holds a large number of email address records and the complete US residential telephone directory -- so searching performance is key. Having acquired both 411 and eGroups, Yahoo! now relies on a wide range of Python-driven technologies to provide the highly interactive experience its users expect.

80-20 Software

http://web.archive.org/web/20001119052700/http://www.80-20.com/
80-20 Software used Python to rapidly develop a scalable and extensible document management system that sits on top of the popular Microsoft Exchange messaging technology. By using Python, they were able to develop and release to market a feature rich client/server solution in under a year with only 4 developers. Python provided an excellent prototyping tool for the server technology, which originally was supposed to be converted to C++ for production use. 80-20 found during its testing that only a few components needed to be in C++ for greater speed and that more than 90% ofthe prototype code could be used unchanged without any significant performance impact.