Python as programming language and its uses
Python is a versatile programming language with applications
of wide ranges.
Some of the popular uses of Python are:
1.
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.
2.
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.
3.
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.
4.
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.
5.
Game Development -
Python is also used for game development, with libraries like Pygame, PyOpenGL,
and Pyglet.
6.
Automation - Python can
be used for automating repetitive tasks, such as web scraping, testing, and
system administration.
7.
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.
Python-django Training and
Placements by DOCC Kolkata. Apprenticeship and Internship. Call 9433526196 Visit www.dockkolkata.com
Author: U Roy, DOCC Kolkata
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