To cut the crab and deliver it straight, from Netflix & Amazon’s recommendation algorithm to the software that controls self-driving cars and other popular feature-rich apps, prove the popularity & diversity of Python and speak for What is Python used for?
“Python is an interpreted, object-oriented, high-level, general-purpose programming language with dynamic semantics. Created 30 years ago by Guido van Rossum, Python only grew in popularity and still grows at a fascinating pace.”
We understand you are reading this for the millionth time. But does that help you figure out what is Python used for? What are the widespread applications of Python? Do you know- Why is all the buzz about Python going on around?
Well, allow us to give you a tour of the python destinations. If you happen to peep into the tech side of the Top MNCs, you can very well trace Python in almost all of them! And Why do these companies fall for Python?
Here are some of the core areas, wherein you would find Python deeply rooted in every corner.
Back in 2018, 66% of data scientists reported using Python daily. Since then the use of Python in Data Science has only seen skies!
Maybe, it all might have started there, we think. Today, Python is an indispensable part of the Data Scientist journey. Python is easy-to-learn, flexible, and well-supported.
Moreover, it is relatively quick and easy to use for analyzing data. While working with large amounts of information, Python is useful for manipulating data and carrying out repetitive tasks.
These are a few among the many reasons why data analysts and other professionals use Python to conduct complex statistical calculations and build machine learning algorithms. Furthermore, manipulating and analyzing data can also be easily performed using Python.
Moreover, when it comes to Data Visualization, Python can build a wide range of different pictorial representations, like line and bar graphs, pie charts, histograms, and 3D plots.
Read this and explore how you can play and learn Python: Games to improve Data Science
Also, Python has a number of libraries that enable coders to write programs for data analysis and machine learning more quickly and efficiently, like TensorFlow and Keras.
All that said, Python appears to be the best choice for Data Scientists and other Data professionals and Data Science remains one of the top applications of Python.
Web Development & Web Applications
Full Stack web developers are in rising demand for their proficiency in building creative and outstanding websites that sell a business or stand as a face for these small-to-huge companies. Several websites that keep us going back to them all the time are but the marvels of these skilled developers who have hands-on python proficiency as a vital skillset. Little wonder that most websites like YouTube, Google, Instagram, Quora, Netflix, etc., stand abreast on Python.
Python offers many choices for web development like Frameworks such as Django and Pyramid.
Python also facilitates Micro-frameworks such as Flask and Bottle & Advanced content management systems such as Plone and Django CMS. Also, Python’s standard library also supports many Internet protocols like HTML, XML, JSON, E-mail processing, easy-to-use socket interface, etc.
These and much more flexible and vivid usability statistics of Python make it one of the top picks of every Full Stack Developer.
Read and find out why Python is the best choice for Web Development: Web Development [Applications of Python in Web Development.]
Artificial Intelligence & Machine Learning
We have all seen Artificial Intelligence exponentially growing over the years. Today AI stands far beyond Science Fiction ideas. And if we check the ongoing trends, then Python is the most popularly used programming language in both AI and Machine Learning.
The many reasons include
- Simple & consistent
- Easy-to-learn & adopt
- A great library ecosystem
- Flexibility & Readability
- Platform independence
- Good Visualization Options
- Great Community Support & popularity
Read this to find out why Python is the best choice for ML: Python in AI and ML
Above all, Python offers many features that are helpful for AI and ML in particular. All these reasons make it the best language for Artificial Intelligence and Machine Learning.
Mobile App Development
Although, while digging down the years, you would not find many Python Apps then. However, the modern solutions make it much easier to use Python and you would find apps like Spotify and Instagram readily using them.
Find out the top reasons why Python is used for Game Development: Game Development[Applications of Python in Game Development]
Python offers cross-platform development. When it comes to Python mobile apps, cross-platform development is a big advantage. Python’s Kivy framework assists in rapid app development. Kivy supports various user interfaces, including multi-touch screens, and various platforms, including iOS, Android, and Windows.
Moreover, a robust graphics engine built over OpenGL ES 2 & Custom UI toolkit facilitates the app development. In short, frameworks like Kivy & BeeWare are not just a single tool, but a collection of projects that add value to the development.
So, Python is now climbing the ladder and getting picked up by more and more developers for Mobile App Development.
Read how to set up a Python environment here: Set up Python Environment.
While these are some applications that hugely rely on Python, there are many more areas where Python is widely used for. We will deal with it later, though.
The above trending implementations are just a few of the high-focused areas that see the widespread usage of Python. If you try to dig deeper you would come across even more areas that highly depend on Python. To ease your learning journey, let us tell you that: Python is one of the most user-friendly programming languages.
Read More about Python here: Python
Do you wish to excel in Python programming? Then here is where you should be looking into it.
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