Python is gaining popularity because it can compute a large number of data and machine learning when working with AI.
More and more Developers and Data Scientists prefer Python for backend development. According to Statista, 48.07% of developers prefer Python over other programming languages.
To benefit from all these and many others, companies are choosing Python. A lot of tech giants like Google, Intel, Netflix, Facebook, Spotify, and more are already using it.
First, let’s discuss the reasons why a company would prefer Python.
Python is useful to create web applications, mobile apps, games, etc. It has some reasons that make it one of the most preferred languages.
Python is useful for single-purpose scripts and for large enterprise-level applications. It is highly capable of handling an increasing number of requests which makes it the best choice for startups.
Python is one of the most preferred languages for data analysis and data science. Python is loaded with libraries that are specifically built for storing, analyzing, retrieving, and manipulating data easily. Python’s simple syntax makes it easier for developers to analyze data. Thus, companies get desired output even for complex queries.
When companies have complex requirements that one language cannot offer, integration with other languages becomes mandatory. Some languages support external integration while some don’t. However, Python does.
It supports integration with programming languages C, C++, and Java. So, if you wish to leverage the existing functionality of the C library, Python supports it. Any limitations in Python can be solved with integration. Even Python has a lot of libraries of its own so developers don’t have to rely much on integration.
Python makes maintenance easier because of its dynamic nature. Because statically typed languages involve bug fixing and error compilation at compilation time. It uses complex tools and methods to complete the task.
Whereas, Python is a dynamically typed language. It detects errors runtime which makes fixing errors cheaper. Thus, overall it takes a comparatively shorter execution time.
Here is the list of companies using Python and the reason behind choosing it:
Google has included Python as one of the server-side languages. Google’s app engine also uses Python for building web apps.
Goggle’s AdWords uses Python for communicating with web surfers. This shows that Google is using Python for its scalability, readability, and faster deployment.
Netflix uses Python for security tools, recommendation algorithms, content distribution networks, etc. All the network devices are managed with a Python application to maintain the status and location of all the inventories.
Netflix uses machine learning for various tasks. For that, it uses the Python framework to execute its ML projects right from the prototyping stage to the production stage.
Facebook is using Python from the very beginning. It plays a huge role in the infrastructure management of Facebook. Python is present in a lot of Facebook services like imaging, switch setup, fault detection, automating maintenance work, auto remediation of server hardware failure, and so on.
Python’s interactive and reliable interface allows developers to reduce the amount of code and allow them to emphasis more on integrating services into respective infrastructures.
Spotify uses Python for the backend, scripts, data, analysis, etc. Spotify chose Python because project development is faster with Python. It is also using Python for I/O-based services.
Spotify and others chose Python because of its high scalability and faster development process. It is capable of handling complex processes. If you have any such development idea, you should hire dedicated python developer.
We all know that Python is a readable language. This is what Quora made chose Python. They feel that when languages are easier to understand, it becomes easier for a group of people to understand and work.
Quora wanted a language that incorporates task queues, mail servers, etc. into their code base. Python libraries were able to fulfill their demand. Moreover, Python maps well with JavaScript and so it made it easier to use both these languages between servers and browsers.
When the number of users started increasing, Reddit shifted from LISP to Python. One of Reddit’s founders said that they chose python because it has a lot of libraries. Python can work as a common thread for all the companies who are using it.
Reddit’s developers were attracted to Python’s readability and simplicity. If you find these features of Python interesting, you can hire a Python developer. They can help you leverage all the advantages of Python.
The reason why Instagram chose Python is because of its practicality and simplicity. They built a framework for their web services and were able to handle their resources efficiently.
Instagram profiled Django servers and developed a Dyno stat tool to sample their user’s requests and gather the performance metrics.
Instagram wanted a technology that can help them scale in the future and that is why they chose Python. Right now they use Python to handle a huge number of active users. If you wish to scale your project in near future, Python is the safest option.
Pinterest is one of the companies that started using Python from day one. Their original stack was made using the Django framework. Now they have reached over 450 million active users, and Python is managing such a huge scale. Thus, their earlier thought of choosing Python to cope with an increasing number of users was true.
Youtube uses Python for almost all its services. They use it for controlling templates, accessing canonical data, viewing videos, etc.
This shows that Python is capable of managing all sorts of operations wisely. This helps us ensure that it is safe to choose Python for any kind of project requirement.
One of the most dominant languages used in developing Uber is Python. Most of their main service process run on Python. Uber said that Python helped them improve their visualization framework.
As we discussed above, all these giant companies have grown a lot in these last years using Python. They are live proof of Python’s scalability and diversity. Be it machine learning, game development, or any complex application, Python stands strong.
Hence, for any business startup or enterprise level, Python is compatible with all. You can hire dedicated python developers for your project to unlock the door of opportunities.
Author Bio:
Harikrishna Kundariya, a marketer, developer, IoT, ChatBot & Blockchain savvy, designer, co-founder, Director of eSparkBiz Technologies. His 10+ experience enables him to provide digital solutions to new start-ups based on IoT and ChatBot.
In today’s fast-paced, tech-driven world, first impressions often happen online. For professionals and businesses alike,…
B2B SaaS development mainly refers to cloud-based software, assisting in designing multiple ways to cater…
For many years now, trading cards have been a great source of captivation for collectors,…
Successful inventory management is critical in today's fast-paced retail, manufacturing, and distribution industries. Management of…
WordPress remains one of the most powerful platforms for building and managing eCommerce websites, thanks…
Although social media signals aren’t a ranking factor, social media can help boost your brand…