Python is so good that, instead of describing what it can do, it’s actually faster to say what Python can’t do. Python is good for a little bit of everything.
According to Stack Overflow, Python is the fastest-growing programming language in the world, and it will continue to grow even faster. It’s already well-recognized as a very universal, versatile, stable, and easy to learn programming language. As a high-level general-purpose programming language, Python can be applied to many different classes of problems. It should fit most application requirements.
Web development/software development
First of all, code written in Python is very easy to read. Python is well-known for letting you develop quickly with much less code than other languages. It also integrates really well with other languages. Last, but not least - there is the Django framework, which makes web development with Python super smooth. If Django was good enough for Instagram, it’s good enough for the rest of us.
There is an increasing amount of audio/video content in the web, and Python can help you with analyzing it. There are some libraries, like Librosa or pyAudioAnalysis, which can automatically analyze audio content. With PyLivestream it’s possible to streams to one or multiple streaming sites simultaneously, using pure object-oriented Python and FFmpeg. You can use it to stream to Facebook Live, YouTube Live, Periscope, Twitch, Ustream, Vimeo, and more.
Console Applications, or Command-line applications, are computer programs designed to be used from the command line or a shell. This kind of apps has been in use since the first computer was built. One of the best languages to develop that kind of program is Python. Why? Łukasz Kuczyński, Software Engineer at Volvo IT, explains:
„Python is a language known for having REPL (Read–Eval–Print Loop), that makes it possible to evaluate it and just play with its possibilities. So it would be strange if there was no backing for console apps. And there is indeed”.
There are plenty of free Python libraries or modules that will help you to build a command line app. We have basic IO libraries, so that you can read and write to standard IO. We have the capability to parse arguments and create console help text out-of-the-box. For more sophisticated usage, we even more advanced console libraries enabling writing fully-fledged console apps.
Python is not well-known as a game development language, but there are many great games made with it, such as EVE online. Battlefield 2 uses Python for all of its addons and a lot of its functionality, World of Tanks uses Python for most of its features, and Disney's Pirates of the Caribbean was written using the Panda3d game engine). Python is one of the most popular programming languages today, so there are good tools and libraries available for game development. Pygame & Python will let you develop and test very quickly. Python is also great for rapid game prototyping.
What’s more, Python works well with other programming languages, which makes it very valuable. For example, you can use the Panda3D engine to write 3D games in Python. If Python performance is an issue for you, then use Cython - a superset of the Python programming language designed to achieve C-like performance with code that is written mostly in Python. It combines the ease of Python with the speed of native code. What’s more, Python is outstanding for building game design tools that simplify many tasks, for example level design or creating dialog trees.
System administration applications
Python is also good for developing system administration apps. With Python you can easily connect to your operating system with the „OS” module which allows you to interface with the operating system that Python is running on. All of the IO operations are accessible, including easy reading and writing to the file system. Lots of databases and applications have connectors implemented in them already, so you only need to import correct the one.
Machine learning means to „use data to make a machine make intelligent decisions”. It’s a way of “learning” which enables an algorithm to evolve. It’s a way to recognize patterns in your data. Data which is everywhere; it’s large, raw and complicated. Python has a great number of machine learning libraries available for free, like pandas or scikit, which can deal with it very quickly and efficiently. They are constantly being developed, and have a nearly flat learning curve, which means that if you have some very basic knowledge of Python, you can just use them and implement your app on top. What’s more, they are free to use under the GNU license.
With Python, you can find a library for basically anything you could imagine. What’s more, those libraries are developed by some of the best IT guys in the world. If add versatility, ease of use, and flexibility, you will understand why it’s so good for development. What’s more, development with Python is fast, so everybody can save time and money. There are plenty of reasons to use Python for your next application.