What is Python Used For
by Mahmut on March 26, 2021
Python is one of the most popular programming languages in the world. There are a lot of reasons why big companies like Google, Instagram, Pinterest, Spotify use this awesome language.
In this article, I am going to talk about Python and then the areas that Python programming language is used in.
What is Python
Python is an interpreted, object-oriented, high-level programming language. It was created by Guido van Rossum in the 1980s.
You can use Python for Developing Desktop GUI Applications, Websites and Web Applications, Software Testing, Hacking, Data Analysis, AI and Machine Learning, Automation.
Many big companies such as Wikipedia, Google, Yahoo, CERN, NASA, Spotify, Dropbox, Netflix, Pinterest use Python programming language.
Python is so common in our daily life that you may not even realize it.
There are many reasons why python programming language is used so widely. One of the most important reasons is its syntax structure is simple. Unlike many other programming languages, you can solve many complex problems with less code. Thus, it can be written and learned quite easily. One of the other important reasons is that Python also has lots of pre-build libraries.
We know what Python is and some of its advantages, now let’s talk about what Python is used for.
What is Python Used For
We said that Python is used in many areas of our daily life. Python is used almost everywhere, from the applications we use in our daily life to web searches, to the games we play. So let’s look at where python is used now.
Data Science
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one language for analytics professionals.
It is not surprising that Python is so popular among data scientists. So what makes Python so popular?
Python is the most important programming language among data scientists with its easy-to-use language structure, large library facilities, and very large community features.
Python has extensive library support for data scientists such as Pandas, Numpy, Matplotlib, Scipy, Scikit-learn. As a data scientist, you can analyze large amounts of data and present insights with Python’s data visualization tools. With a Python data visualization library, you can create a wide variety of plots and visual representations, such as:
- Lines, Bars, and Markers
- Images, contours, and fields
- Subplots, axes, and figures
- Statistics (Box Plots, Bar Charts, and Histograms)
- Pie and polar charts.
Machine Learning
It sounds exciting that systems can learn by themselves without the need for human interaction. When we feed these systems with the new data, they improve themselves. Yes, I am talking about machine learning.
Web spam filtering, virtual assistants, facial recognition, smart product recommendations, predictive video analytics in surveillance, online fraud detection, and automatic translation services are the most popular machine learning applications.
Well, you might ask, how is Python used here? As we said, Python has a large number of library support. Python is used for machine learning via specific machine learning libraries and frameworks including scikit-learn and TensorFlow, mlpy.
Fintech and Financial Industry
HackerRank released a survey in 2016. The purpose of this survey was to try to learn which programming languages industries prioritize when hiring programmers and engineers. Python ranked first in the FinTech area.
If you want to create a company to enter the world of fintech, you need a programming language that is high performance, easy to scale, has pre-build library support.
If you need an algorithmic trading library, you can use pyalgotrade. Let’s say you need something for scientific and technical computing, you can use SciPy library. How about quantitative economics? You can use quantecon.py.
Again, according to HackerRank, the Python programming language is used in many areas of the finance industry. “Financial technology recruiters will tell you that Python is the fastest growing language in finance overall. If you look at financial technologies, big banks like Bank of America have worked hard to transform their technology stack from legacy code to Python. “
Web Development
In today’s world, if you have a business but don’t have your own website, then you don’t exist. So you need the right tools to build your own website.
Many companies, especially the giants of the technology world such as Instagram, Spotify, and Google, use the Python programming language.
Python programming language is an easy-to-use, open-source programming language and has pre-build libraries such as Django, Flask. So, you can make very effective web development projects in a very short time.
Startups
The startup ecosystem is entirely different from how corporations and big companies operate.
It is so important that it makes the process easier. So, you need to choose your programming language so carefully. You need to choose a programming language that will let you get started quickly and deliver the results efficiently. And also you can’t compromise on high quality. So, Python is an ideal programming language for that.
Conclusion
In this article, we talked about Python and what python is used for. As we said, Python is used in many areas of our daily life. In this article, I tried to give information about the most used areas. If you want to ask or add something, please write in the comment section.
