How Industries are using Python ?
How industries are using Python?
Python is a general-purpose interpreted,
interactive, object-oriented, and high-level programming language. Guido van Rossum, a Dutch programmer,
began working on Python in the late 1980s, as a successor to the ABC programming
language, and first released it in 1991. Python is
designed to be highly readable. It uses English keywords frequently whereas
other languages use punctuation, and it has fewer syntactical constructions
than other languages Its language
constructs as well as its object-oriented approach aim to
help programmers write clear,
logical code for small and large-scale projects. Python consistently ranks as
one of the most popular programming languages.
|| Which fields use Python? ||
Web Development:
While HTML, CSS, and Javascript may be the common choice of tools when it comes to web development Python is also a great choice.
Web development refers to the building of websites on
the internet, from static, plain text pages to dynamic e-commerce sites and
interactive internet applications.
Coding is crucial in web development to build out site
functions, optimize user experience, and ensure that that information is
organized properly. Python's web frameworks such as Django and Flask have
become popular options for website development.
These open-source frameworks allow users to build web
applications more efficiently due to Python’s ability to handle vast amounts of
data and automate tasks. In fact, companies such as Instagram, Pinterest and
Google incorporates Python in their Backend web development.
Data Science:
Python is also a major language of choice when it comes to data science and data analysis.
In the age of big data, we come into contact with data
frequently in our everyday lives, with technology such as navigation (GPS),
online shopping, energy use, and wearables such as smartwatches.
Data science relates to processing data and
inferencing trends — and Python is incredibly useful in this area due to its
intensive packages like scipy, NumPy, and pandas.
Additionally, the matplotlib package can be used to
build data visualizations. This makes Python a popular choice in fields like
bioinformatics that also involve a lot of data and modeling.
These Python-based tools have become popular due to their
ease of use and scalability. For example, Netflix uses scipy and numpy for
numerical computing to manage user traffic across the platform.
Machine Learning:
By analyzing vast amounts of data, machine learning algorithms can find patterns and apply those patterns to make sense of future behavior.
The most obvious use of machine learning in products is
recommendation systems. Companies such as Netflix, Spotify, and Youtube collect
user activity to make predictions and suggest playlists and videos.
Scikit- learn and TensorFlow is a Python library that
enables the use of algorithms for classification, clustering, and regression on
large data sets. The high performance and extensive functionality of these
libraries make them essential in any exploration of machine learning.
Artificial Intelligence:
Machine learning is actually just one facet of artificial intelligence. AI refers to the intelligence of machines and the development of computer systems to perform human-oriented tasks such as perception or decision making.
One prominent example of artificial intelligence is in
ridesharing apps, like Uber and Lyft.
Uber utilizes AI for predicting user demand and estimated
arrival times (among other features) and much of this is accomplished
through Python.
In addition to some of the previously mentioned Python
libraries, AI functionality such as prediction models and neural networks can
be created through other libraries like Keras and PyTorch.
Python gaining popularity in industries.
Python programming is a skill that can be used in virtually
any industry, as well as in positions far beyond just software development.
From industries like finance, healthcare, and insurance, to fields like
aerospace to entertainment – Python-based tech is driving innovation
and new solutions.
Companies use Python as a primary language:
- Instagram-
- Spotify-
- Spotify also trusts Python & applies it in its backend service as
well as Data Analysis purposes. The backend of Spotify consist of a Plethora
of separate services, connected by means of the messaging protocol developed in-house. 80% of the services are based on Python while the remaining 20% on languages
like Java and C or C++
- Amazon-
- Survey
Monkey-
Survey Monkey use Python were its simplicity, tons
of libraries allowing to build Web Apps faster, as well as facilitating working
with deployment, Unit Testing, etc.
- Facebook-
Facebook decided to use Python as the core language for the
backend of their applications connected with image processing.
6.
Google-
- YouTube
-
- Quora-
Quora is a portal where you get your answers. Quora’s language programming has been developed using Python’s framework.
- Dropbox-
Many of our choices to store our data are going online. We create a document, we save it & we share it. It is the ideal way to preserve your documents online. This file hosting has been created by using Python.
- Yahoo-
Google’s biggest competitor in the search engine criteria. Yahoo and many of its subsidiaries, including Yahoo Maps, have been designed using Python. - Reddit-
It is a place where you can find a lot of information & entertainment across thousands of categories. Popularly called the internet’s front page has been developed by using Python. - Bitly-
The popular link management platform created by Peter Stern in 2008 shortens close to 600 million links annually. This website also owes greatly to Python as it came into existence because of Python - Netflix-
Netflix uses Python for security automation, risk classification, auto-remediation, and vulnerability identification. And Python was behind Netflix's Security Monkey tool, as well as a project called Prism, which helps identify vulnerabilities in source code.
How Netflix
uses python?
Netflix is one of the
most famous video streaming platforms that actively uses Python to make their
video streaming experience better. Ranging from Administrative domains to
Reliability and Data Science to Machine Learning etc, Netflix uses Python for nearly every
edge of their business.
“We use Python through
the full content lifecycle, from deciding which content to fund all the way to
operating the CDN that serves the final video to 148 million members”
– Engineers at Netflix
Tools used by the team include:
·
NumPy and SciPy to
perform numerical analysis
·
Boto3 to make
changes to AWS infrastructure
·
RQ to run asynchronously
workloads
·
Flask APIs
are used as a wrapper around the orchestration tools above.
·
Jupyter Notebooks and interact are
used to analyze operational data and prototype visualization tools. Netflix uses Python to
build custom extensions to the Jupyter server that allows engineers to manage
tasks like logging, archiving, publishing, and cloning notebooks.
Netflix uses scipy and numpy for numerical
computing to manage user traffic across the platform. Some of the important areas where
Netflix has implemented python applications that are
Netflix
uses Python throughout their organization to run
chaos engineering tests and generally glue together the code from their
high-functioning polyglot teams. Netflix also wrote 2019
update for PyCon US to give more detail on what teams and
projects work in Python.
Image Source :- GoogleImages
Article By:- Pushti Purna
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