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درسنامه :
AUGUST 12, 2020/#PYTHON
Writer:Estefania Cassingena Navone
Hi! Please take a moment to think about this question:
How is Python applied in real-world scenarios?
If you are learning Python and you want to know the answer, then this article is for you.
Having a clear idea of the applications and vast potential of this programming language will give you the motivation that you will need throughout your journey.
Let's begin! ✨
Python is used in virtually every industry and scientific field that you can imagine, including:
This article covers a wide range of applications of this programming language in these industries with examples, use cases, and Python libraries. Let's start with the applications of Python in data science.
Games definitely shape lives and create timeless memories. They will continue to be part of our society in the years to come. Python is already there, lighting the spark of game creation.
According to the official Python Documentation, there are two main Python frameworks used to develop games:
You can also use the turtle module to create simple games. Turtle is a built-in Python module that is installed automatically when you install Python in your computer. It helps you to create games with simple graphics and with a simple user interface.
If you want learn game development in Python, freeCodeCamp's YouTube channel has these great free tutorials:
Python also has amazing applications in the medical field. You will be surprised by how technology is being combined with medical knowledge to provide accurate and efficient diagnoses and treatments to patients.
Some examples of the use of Python in medicine and pharmacology include:
These broad applications include thousands and thousands of examples around the world. I selected a few of them to illustrate how Python is shaping this field. Let's take a look at them.
According to the official Python Documentation, one of the world's leading pharmaceutical companies, AstraZeneca, used Python to improve their existing computational models to make them "more robust, extensible, and maintainable".
Researchers used these models simulate the chemical structure of molecules and their effect in the body. This helped scientists identify potential molecules for new drugs and start testing them more quickly in the laboratory.
When he joined the team, Andrew Dalke, being a a "well-known advocate for Python in computational chemistry and biology" convinced the team that Python was exactly what they needed.
Python was chosen for this work because it is one of the best languages available for physical scientists, that is, for people who do not have a computer science background.
He stated that:
Python was designed to solve real-world problems faced by an expert programmer. The result is a language that scales well from small scripts written by a chemist to large packages written by a software developer.
Amazing, right? Python can power the computational models that pharmaceutical laboratories use to develop new drugs.
Another interesting medical application of Python is related to Hematology. Usually, specialized professionals analyze blood tests by counting and identifying cells manually, but this can be improved with the help of automation.
Researchers found that Python can be the right tool for the job. Let's see an interesting project.
IdentiCyte
The goal of this project is to identify and classify red blood cells shapes based on images taken from optical microscopes. According to this article, "RBC shape can help to diagnose diseases and disorders such as leukaemia, sickle cell anaemia and malaria."
The project was developed by researchers from the Bioresource Processing Research Institute Australia. It was programmed in Python and it used image processing Python packages and libraries such as numpy, scipy, opencv-python, scikit-learn, and matplotlib.
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