Following, are some major ways in which Python is used commercially that will make it easier to argue for using Python in your own organization. (Or you can read about some Python success stories.)
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Corel: PaintShop Pro is a product that many people have used over the years to grab screenshots, modify their pictures, draw new images, and perform a lot of other graphics-oriented tasks. The amazing thing about this product is that it relies heavily on Python scripting. In other words, to automate tasks in PaintShop Pro, you need to know Python.
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D-Link: Upgrading firmware over a network connection can be problematic, and D-Link was encountering a situation in which each upgrade was tying up a machine — a poor use of resources. In addition, some upgrades required additional work because of problems with the target device. Using Python to create a multithreaded application to drive updates to the devices allows one machine to service multiple devices, and a new methodology allowed by Python reduces the number of reboots to just one after that new firmware is installed. D-Link chose Python over other languages, such as Java, because it provides an easier-to-use serial communication code.
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Eve-Online: Games are a major business because so many people enjoy playing them. Eve-Online is a Massively Multiplayer Online Role Playing Game (MMORPG) that relies heavily on Python for both the client and server ends of the game. It actually relies on a Python variant named StacklessPython, which is important because you encounter these variants all the time when working with Python. Think of them as Python on steroids. These variants have all the advantages of Python, plus a few extra perks. The thing to take away from this particular company is that running an MMORPG takes major horsepower, and the company wouldn't have chosen Python unless it were actually up to the task.
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ForecastWatch.com: If you have ever wondered whether someone reviews the performance of your weatherman, look no further than ForecastWatch.com. This company compares the forecasts produced by thousands of weather forecasters each day against actual climatological data to determine their accuracy. The resulting reports are used to help improve weather forecasts. In this case, the software used to make the comparisons is written in pure Python because it comes with standard libraries useful in collecting, parsing, and storing data from online sources. In addition, Python's enhanced multithreading capabilities makes it possible to collect the forecasts from around 5,000 online sources each day. Most important of all, the code is much smaller than would have been needed by other languages such as Java or PHP.
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Frequentis: The next time you fly somewhere, you might be relying on Python to get you to the ground safely again. It turns out that Frequentis is the originator of TAPTools, a software product that is used for air traffic control in many airports. This particular tool provides updates on the weather and runway conditions to air traffic controllers.
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Honeywell: Documenting large systems is expensive and error prone. Honeywell uses Python to perform automated testing of applications, but it also uses Python to control a cooperative environment between applications used to generate documentation for the applications. The result is that Python helps generate the reports that form the documentation for the setup.
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Industrial Light & Magic: In this case, you find Python used in the production process for scripting complex, computer graphic-intensive films. Originally, Industrial Light & Magic relied on Unix shell scripting, but it was found that this solution just couldn't do the job. Python was compared to other languages, such as Tcl and Perl, and chosen because it's an easier-to-learn language that the organization can implement incrementally. In addition, Python can be embedded within a larger software system as a scripting language, even if the system is written in a language such as C/C++. It turns out that Python can successfully interact with these other languages in situations in which some languages can't.
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Philips: Automation is essential in the semiconductor industry, so imagine trying to coordinate the effort of thousands of robots. After a number of solutions, Philips decided to go with Python for the sequencing language (the language that tells what steps each robot should take). The low-level code is written in C++, which is another reason to use Python, because Python works well with C++.