Python is a general-purpose programming language that can be used in web application development, HE, machine learning, operating systems, mobile applications and video games.
In this publication we will see 10 technology companies that use Python in their products.
With its inclusion in dozens of online services, included Search, Android, Youtube, Stadia and many more, Google has become one of the largest technology companies in the world. With a company like this, your technology stack understands more than one core language, that is to say, Python, Java and Golang.
When i was just beginning, Google had adopted Python due to its simple nature and relatively quick maintenance and has continued to use it ever since. Services as a part of the search engine, YouTube, machine learning, artificial intelligence, robotics projects and much more.
Although Google probably has all the programming languages in its infrastructure, due to its central language status, Python continues to receive priority support.
Actually, Instagram Introduces Django Web Framework Implementation, which is completely written in Python. They chose the platform for its reputation for accessibility and usability, that aligns well with their philosophy of “do the simple first”.
Instagram has doubled in size in the last two years, with 500 million cross users recently, so they needed to maximize the effectiveness of their platform to keep scaling smoothly.
Likewise, It should be noted that the entire migration process has led the team 10 months and has been divided into several stages. The first was to change the code to replace the packages that are not compatible with Python 3 by those who admit it. The second stage revolved around unit testing and the third stage was the final deployment of the product..
Facebook has been using Python a lot, which makes it the third most used language for social networks (behind C ++ and its proprietary PHP dialect, Hack).
Easy-to-use Python libraries mean developers don't have to write a lot of code, allowing them to focus on making live enhancements. It also provides a efficient Facebook infrastructure .
According to Facebook, Python is currently responsible for numerous infrastructure management services .
These include using TORconfig to handle network switch configuration and imaging, FBOSS for white box switch CLIs and use of Dapper for scheduling and running maintenance work.
Spotify, another top-tier company, now trust and use Python for backend services and data analysis . What's more, Spotify has a multitude of different services linked through the messaging protocol developed in your company.
Then, about the 80% of these services are based on Python, the 20% remaining in Java (mostly) and C or C languages ++ .
The key priorities of the company are rapid development and growth. This is why Spotify uses Python to create its streaming service.: mostly meets your development speed expectations.
The new architecture updates for Spotify have been made through gevent, which features a fast event tool with a high-level synchronous API.
Spotify relies on a large amount of data to provide information and recommendations to users. Spotify uses Luigi, a Python module that syncs with Hadoop, to understand them.
This open source project manages how libraries work together and compile error logs to allow redistribution and troubleshooting..
Total, Spotify hires more than 6000 Python processes , operating together on the Hadoop cluster nodes.
This question and answer platform took some of their valuable time deciding which language they wanted to use. Charlie cheever, one of the founders, narrowed the options to python, C #, Java and Scala. His main concern with Python was the absence and comparative slowness of type checking.
The creators of Quora followed Google's lead and decided to use Python, that made writing and reading easier, and applied C ++ to improve performance.
The presence of many decent frames, like Django and Pylons at the time, it was also an important consideration for using Python. What's more, since the team had calculated that Quora would primarily involve customer interactions / server and would not require full page loads, it was a huge plus for Python and JS to work quite well together.
Amazon is another major leader using the Python language. Something that should stand out is the fact that Amazon has developed the features that revolve around suggestions, that is to say, recommended offers, among the many technical solutions that this company came up with.
Amazon analyzes the buying habits and usage patterns of its customers to provide them with accurate suggestions. This has been possible with the Python learning engine, that comes into contact with the organization's Hadoop database. Therefore, work together to make recommendations as efficient and accurate as possible.
The Amazon team settled on Python due to its popularity and the many Big Data features it offers.. What's more, Python is scalable and portable, what gives Amazon a unique proposition. What's more, as practical evidence shows, Python is used quite frequently alongside other technologies like Hadoop or Apache.
Netflix has been using Python in a very identical way to Spotify. Netflix allows its software engineers to select the language they want to code in and has seen a significant increase in the number of Python applications. What's more, Python has become an essential part of the other Netflix services, since it is very easy to build .
Central Alert Gateway is among the key elements in which Python is used. This RESTful web app continues to alert people and groups who might want to see them.
The application also has the power to remove duplicate alerts that have already been processed, provide automated solutions such as restarting or ending a task that seems unstable. This app is a huge win for Netflix, given the volume of alerts.
Smart handling ensures that developers and engineers are not invaded by redundant calls.
As we all should know, Stripe is a Fintech startup that allows companies to accept payments online. The company used Python to design APIs for mobile apps and websites.
Stripe makes it easy to manage transactions made by online businesses through the web. Services include billing, subscription management and also fraud prevention.
Stripe is being used by major industry players like Salesforce, Lift, Amazon and many more and hasa value of $ 9 billion . Python is known to play an important role in the success of the platform.
Due to its efficiency in financial tasks, many Fintech startups chose Python, that instinctively adapts to Fintech products linked to data and calculations. Another reason behind this is that Python is the easiest language for finance specialists to learn .
Dropbox is a cloud storage service that allows you to store files online and sync them with your devices and you have been using Python for most of your services and your desktop client..
In 2012, Guido van Rossum was asked, the creator of python, to join Dropbox leaving Google behind. In your first year, was able to help share datastores with other users within the Dropbox community.
The company also provides developers with a Python SDK to integrate into their Python application., which gives them a sense of value they have for the platform. The Dropbox developers also confirmed that they use Python for most of their server-side coding..
Although many Dropbox libraries and internals are proprietary and not open source, the company has released a very powerful Python-coded API to show how its engineers think.
Reddit is a social news platform that allows people to discuss and vote on content that other people have posted..
Every month for 2017, the website had 542 million visitors , which makes it the fourth website most visited in the world and the seventh most popular in the United States. In 2015 they were published 73,15 million entries and 82,54 billion page views . And Python was the backbone behind all this software.
Initially encoded in Lisp, Reddit switched to Python in December 2005, six months after its launch. This change took place after noticing how Python had a wide range of code libraries and was much more efficient in terms of development.