Find Out What Python is Used For

If you are brushing shoulders with tech like HTML, JavaScript and the world of programming languages then you are no doubt looking at the many functions that Python is used for – if so, then this article is for you.

Whether you are interested in making games with Python or wondering what GUI in Python is, this basic guide will increase your knowledge of programming and I.T.

Perhaps you are more interested in learning Python for data analytics?

The truth is that when it comes to the question what Python is used for, there are many answers.

When it comes to the reviews, you’ll be astounded at the mixed bag of opinions, but like most programming languages, it is wise to do your own research and testing to find out if the applications that Python is used for will suit your requirements, or not.

Fortunately, it is a diverse and easy programming language to learn and the GUI in Python can be used across many disciplines from web development to game building.

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Python is Used for Web Development

Web development is something that is more conceptual than definitive, but when it comes to how Python is used for web development you can certainly say that it includes building and maintaining of them. However, a critical component of web development means having the right language to run pages and bring elements to life when buttons, links and tabs are clicked!

Do not make the mistake of confusing web design and web development, even though the principles of these disciplines are most certainly integrated. While the designer’s job is to make the site look appealing and ensure that functionality works and is in the right place, the developer’s main job is to ensure that backend systems work and that there is domain logic to how the website interacts with databases.

So, when it comes to websites, exactly what is Python used for?

• Python is an easy language to work with; you’ll find vast libraries that contain a trove of modules and each is meant to address unique actions or functions.
• Python is a very quick way to prototype sites, which means that developers can optimise their sites to run faster.
• Python is extremely popular. Python gurus are constantly adding new features and libraries and they also provide good support for both seasoned and novice developers.
• One important quality that sets Python apart is that it is easy to learn.

Compared to another popular programming language, Java, where the developer needs to be 100% fluent in the code and be willing to type a lot, Python is far simpler. In Java there are no convenient plug-in models, no shortcuts and the syntax is complex and elaborate.

By contrast, Python makes use of whitespace and common expressions that even computer-averse people might know. For instance, a print command using Python is simply ‘print’; compare that to all those curly brackets and multiple lines of code to initiate the same command in Java.

So when it comes to the question what is Python used for, it is safe to say that Python for web development is here to stay.

Python for Data Analytics

Believe it or not, the lofty-sounding field of data science is yet to be defined. To add to the confusion, data science seems to be an umbrella type of term that covers all types of data from marketing and statistics to the kind of information that cosmologists and environmentalists use to draw conclusions.

Regardless of the many different needs, one thing is for sure, Python for data analytics is a powerful tool.

Both ScyPi and NumPy are important Python libraries that contain modules specifically for making linear algebra and other maths applications easier, while Matplotlib permits the visualisation of data in various ways, from scatterplots to 3D graphs.

Pandas is a fourth library that builds data frames and uses Python for data analytics. It imports files like comma-separated CSV files.

Data science is a hot topic in every industry today, so why not find out how Python for data analytics could potentially catapult your career?

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Python is used for Machine Learning

How do you train a dog to sit and then stay? Easy, put glue on its chair.

It may be a poor joke, but it is true that it is difficult to teach something or someone to perform tasks that are outside of their nature.

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Firstly, dogs are still easier to train than machines. You can reward and scold a dog to change behaviour, but how do you train a machine to act in the way that you want it to?

To complicate it further, machines are only as capable as the information that the programmer is able to code into them. Today, there is a worldwide intelligence race on the go to teach machines how to interpret input from all kinds of data sources in order to produce results.

Self-driving cars are a prime example of machine learning.

Imagine how safety records will improve without the danger of human mistakes.

As spectators and participants to the machine learning age, it is certainly an exciting time to be alive. Would you travel on a plane that was on autopilot? Actually, an aeroplanes autopilot setting is one of the forerunners of machine learning.

Once set, the system continuously monitors altitude, speed and other variables to adjust its course and performance. There’s no doubt that the aviation industry is an early adopter of artificial intelligence and that Python is used for the creation of machine learning languages.

Making Games with Python 

Every computer game contains GUI in Python, but not all GUI in Python is a computer game.

Graphical user interfaces, practically nicknamed GUIs (and pronounced gooeys), are simply put, what allows humans to interact with machines. These graphic interfaces can be as simple as yes-no tabs on an office printer, or more complex like those needed for making games with Python.

While it excels when used in the former, when it comes to making games with Python works well provided it is bound to a performance-based programming language like C ++ which is the standard for game writing code. Depending on the computer’s hardware and operating system, using C ++ can help processes to run up to 100 x faster than using Python alone.

This is helpful because a lack of speed tends to be Python's most significant drawback. So while making games with Python is faster, speed interventions should be considered. Even though there is a full library of GUI in Python they are best suited to industrial applications like touchscreens for machine controllers.

Still, if you are a novice programmer, don’t let this put you off developing a simple 2D game. You need only to familiarise yourself with Python's basic code and take a browse through Pygame, which is compatible with Android, PC, Linus and MacOS.

In fact, if you are keen on making games with Python, make sure that you familiarise yourself with Pygame and Python because even if the bulk of your code is written in C+++, you’ll be looking for cross platforms than can deliver!

Robotics

As already mentioned, Python boasts a world-class standard for graphical user interface and regardless of what kind of artificial intelligence or robot you are designing, there is no better way to interact with it.

Developing robot code, not unlike coding for action games and anything that requires lush graphics, is, in most cases written in C++. Again, performance is the prevailing challenge, especially for those contracted to build industrial robots. Performance needs to be both fast and precise to meet the demands of the brief, including the need for split-second decisions of the machine. Python as easy, fun and versatile as it is, simply will not perform that quickly.

However, one area where it is hugely helpful in the area of robotics is in building coded prototypes entirely in Python that can be used for pitching and presentations to investors.

Just don’t rely on it for high-speed performance!

Another aspect where Python shines is in the area of machine interfaces. For instance, if you are programming an industrial robot, you could write a Python binding that will run the GUI while your C++ work runs the robot.

As you can tell, Python is used for all areas of industry, science, research and robotics.

Considering that Python as a computer language has been around for more than 30 years and is now truly coming into its own, demonstrates how far ahead of its time it was.

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