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Top 10 Python Use Cases and Applications
Python has grown to be one of the most loved programming languages since its launch in 1991. According to StackOverflow’s 2020 developers survey, Python ranks as one of the most widely used programming languages even above Java.
Every business faces a lot of challenges when they want to choose the right and best high level programming language for their next big projects while keeping end-to-end functionality, efficient runtime, scalability, and versatility in mind.
However, hitting that sweet spot of efficiency, functionality, and versatility has gotten a lot easier in the previous decade(s).
This is probably because of the emergence of the Python programming language – the modern holy grail of data science, machine learning, web scraping, and all of the above. Python is a simple programming language that anyone can learn easily and is secure, scalable and supports a rich set of pre-built libraries.
Python aids in the rapid development of web applications that are both scalable and secure. This is made possible and easier with the availability of web frameworks like Django, Pyramid and Flask. These frameworks offer easy integration with various protocols like HTTPS, SSl, etc and also support JSON and XML.
Eg: Disqus, YouTube, Eventbrite, Dropbox
Data science is a relatively new field that has gained significant importance in recent years and Python is the go-to choice for developers working on Data Science.
Unlike Java, Python offers many libraries to handle Data science projects like Pandas, NumPy, etc. Additionally, Python also offers data libraries like Matplolib, Seaborn, etc for rich data visualizations. Data science is one of the most lucrative career prospects in the technology industry today and for anyone who wants to start with Data science should know Python first.
Python is extremely popular in the field of machine learning or AI. Despite the age-old language, Python has evolved to fit into multiple new technologies.
Python is a stable language that can handle the huge set of computations required for building complicated machine learning modules. Sensorflow, Numpy, Keras, Scikit-learn are some of the popular libraries offered by Python to work on machine learning and artificial intelligence projects.
Python is versatile as it supports multiple use cases. Apart from normal web development to complex AI, Python also aids in Game development.
Python libraries like PySoy and PyGame enable 3D game development. No matter what field you are in, Python already has a library for you to get started easily.
Eg: Civilization-IV, Disney’s Toontown Online, Vega Strike
Original Content- https://www.taffinc.com/blog/top-10-python-use-cases-and-applications/
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