Python and its uses today

Python is a versatile programming language with applications of wide ranges.

Some of the popular uses of Python are:

Web Development - Python is used to build web applications, from basic static websites to complex dynamic web applications using frameworks like Django, Flask, Pyramid, and Bottle.

Data Science and Analytics - Python is widely used for data analysis, machine learning, and artificial intelligence. It has several libraries and frameworks such as Pandas, NumPy, Scikit-Learn, TensorFlow, and Keras, which help in data manipulation, visualization, and modeling.

Scientific Computing - Python is used extensively in scientific research and engineering applications. It has specialized libraries like SciPy, NumPy, and Matplotlib, which are used for scientific computing, numerical analysis, and data visualization.

Desktop GUI Applications - Python can be used to create desktop applications using frameworks like PyQt, PyGTK, and wxPython. These frameworks allow developers to create cross-platform graphical user interfaces for their applications.

Game Development - Python is also used for game development, with libraries like Pygame, PyOpenGL, and Pyglet.

Automation - Python can be used for automating repetitive tasks, such as web scraping, testing, and system administration.

Education - Python is used extensively in computer science education as it is easy to learn, has a simple syntax, and is versatile. It is also used in coding boot camps, online courses, and programming competitions.

Overall, Python is a powerful and versatile programming language with many applications in various industries, from finance and healthcare to education and entertainment.

Python is interpreted programming language of high level. Python's design philosophy emphasizes code readability through judicious use of sensible indentation.

What are the uses of Python?

1. GENERAL WEB DEVELOPMENT / WEB APPLICATION BUILD - Python is one of the easiest programming languages and we mean it right. "Python, emphasizes code readability and allows the use of English keywords instead of punctuation marks .A clean and readable code base helps you maintain and update your software without wasting time or extra effort.

2. COMPUTER SCIENCE + DATA SCIENCE - Python is also used for scientific research and computer science and also has several scientific or science specific libraries including: Astropy for astronomy Biopython for biology and bioinformatics Graphic tool for statistical analysis of Graphs Psychops for Neuroscience and Experimental Psychology.

3. MACHINE LEARNING – Machine learning is an application of A.I.. Using Python for machine learning is pretty cool, so it seemed like one more line item to justify that. Machine learning encompasses financial services, speech recognition .

4.STARTUPS – This might seem like an odd entry on the list, but it's true: startups, and technology startups in particular, love Python because it's easy to use and scalable. And I mean scalable. Take Dropbox for example.

5. FINTECH + FINANCIAL INDUSTRY – In 2016, Hacker Rank published a survey of various industries showing which programming languages were their priority when hiring.

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Author: U Roy, DOCC Kolkata