Python has quickly become one of the most popular programming languages in the world. Despite having practical application in a wide range of different specializations, Python's a relatively easy language to use. It has value in everything from data visualization to game programming, and while the fundamentals are easy to learn, anyone looking to find a job in Python will probably want to find a specialization. If you're looking to start a career as a python programmers, here are five industries where the skill set is in demand.
1. Data Science
Big data is rapidly becoming one of the most valuable resources in the world, and there's no bigger language for data analysis today than Python. This language is used as one of the major cornerstones for data visualization, but it's also used to create deep learning artificial intelligence. That's especially important, because data science is as much about analyzing data as it is compiling it. If anything, there's an overabundance of data available, and businesses that succeed are the ones who possess the tools to put that data in context. Google is one of the language's earliest and most enthusiastic adopters, and it's used as the core for their tensorflow deep learning framework.
2. Game Development
While Python isn't the leading language for game development, and most big projects are handled through more holistic and complicated engines, Python is a pretty reputable language for developing a game. The versatility of the language, along with its relatively quick compiling speed, makes it an especially strong choice for prototyping a project and demonstrating proof of concept. The Pygame library further increases the use of this language for development. While most modern gaming studios aren't going to be using Python alone for the development process, it can still be an incredibly useful language to have in your repertoire.
3. Network Engineering
For the longest time, the majority of work done by network engineers was handled in the command line. But the rules of engineering are starting to change. As network virtualization becomes a more prominent aspect of network engineering and the business itself becomes more complex, engineers are depending more on automation to get the job done. These are known as software defined environments, and the most popular language for these new environments is Python. That means that the biggest companies in the networking industry, including Cisco, are actively and aggressively seeking out skilled Python developers. And if you can navigate an SDE, you'll be able to get in on the ground floor of a changing and in demand discipline.
4. Social Media
The huge amount of tasks that Python can accomplish make it an incredibly useful for more complicated coding projects like social media platforms. Python is currently the third most popular language for developers working at Facebook, and Python scripts handle everything from infrastructure management to hardware imaging to operational automation. And Instagram is equally as invested in Python as a core programming language. Their business model is built around finding the simplest solution to a problem, and the elegance and ease of deployment that Python offers makes them a natural match for the company's culture. Then there's Reddit, which was so enamored by the possibilities of Python that they completely rewrote their site using Python in place of Lisp.
5. Cloud Storage
Cloud solutions have become big business, and one of the biggest names in the industry puts Python front and center. But Dropbox has done more than just make Python a core language for their development processes. They've recruited Python developer Guido van Rossum as an engineer. Python isn't the sole language utilized by Dropbox - much of their infrastructure uses internal languages and frameworks - but Python has become a great way for Dropbox to engage with their users. Their cleanly designed Python API allows users to get a window into the thought processes of Dropbox users, and the non-proprietary nature of Python allows it to work equally as well as Microsoft and Apple machines.