Python is now regarded as a must-have skill for most of the data analytics and data science job roles. And even though its seeming popularity is not the primary reason for it, it seems to be a major contributing factor. Due to its popularity, Python exercises, Python programming proficiency, and Python interview questions form an important aspect of getting a job in the data analytics sector. Almost every recruiter looks for Python as a necessary skill, instead of just one that gives the recruit brownie points. And this is because of how widely accepted it is as a programming language.
Python-based websites and apps are the frontrunners of their sector, and this is a list of some of those.
The tech giant Google which has evolved into a household name even has a saying about it, “Python where we can, C++ where we must.” Quite a bit of Google infrastructure is built using Python, especially YouTube. The largest video sharing platform in the world uses Python for almost everything, most notably their targeted advertisements and suggestions.
Instagram is another popular site that is almost entirely built on Python. The social media platform revolutionized the sharing of pictures on such levels that Google was practically throwing money at it for acquiring it. This all started as a simple website with a Django backend running on just one server. Django is an open-source developer used by Instagram to this day, and it runs on, you guessed it, Python.
The front page of the internet is a massive online society that, if you know, you know. For the uninitiated, Reddit is a place where you can find a community (called a subreddit) or everything. If you don’t know about this site, chances are you’re living under a virtual pile of rocks. This website is also reliant on Python, and cannot survive without its simplicity, and endless libraries.
For those of who are done with seeing examples of social media, here is a breath of fresh air. IBM, which has been and still is a big name in the IT industry uses python for many things, most notably using a Python SDK for IBM’s big data and AI service called Watson, and a free Python tutorial that they have released. And when a company that has been a huge contributor to the tech environment uses Python, that’s a tell-tale sign of Python being capable.
Spotify is the music streaming service that has revolutionized the Music Industry as we know it. Millions of users trust the platform to not only listen to their favorite songs but also put them on new ones with their incredibly personalized and accurate suggestion feature. Spotify uses Python for many backend functions and Analytics, which means that Python is responsible for the suggestion algorithms Spotify is popular for. Netflix, the global Media streaming service also follows in Spotify’s footsteps by using Python for a similar purpose. When you see these two giants using the same language for their exceedingly well-reputed work, that is a testament to the relevance and capability of the language.
Dropbox is a popular online data storage service that makes use of cloud computing to safely store your data. It is one of the most widely used platforms for this purpose across all operating systems, both personal and enterprise-related and has a total value of over $8 billion. Dropbox also uses Python for various purposes, most notably its well-sculpted Desktop version.
Uber has disrupted Taxi services and has brought this part of the transportation sector into the Cyberspace. They use Python as their go-to programming language, helping them with their Analytics and algorithms.
Python is widely used for a plethora of applications in various sectors, from social media to various services. This is even though it is not the fastest computer language out there. Even though computers are preferred for their speed, Python, despite being slower, is used more than faster languages such as C. And the reason behind this trend, simply put, can be summed up as follows.
Python is easy, reliable, and manageable. The script itself is easier to understand, and this makes coding and maintenance of the program easier. And even though it is slower, Python still gets the job done. Since most of these programs are run on a huge scale, the difference of milliseconds or seconds in speed does not matter.
Also, being a glue language makes Python more flexible and easier to write. This means that you can write part of the program in one language, and simply attach that part to the Python language. This is an important feature, as many other languages possess features better suited for certain applications, and they can all be executed in Python.
Taking Advantage Of The Python-philia
When a language is in such a coveted position, learning it can give you an edge over other candidates that do not possess the level of skill as you. Practicing Python exercises online and solving Python Practice sets gives you a grasp over the language, that can put you ahead. Python is overwhelmingly popular, which means knowing it makes you a favorite with the recruiters. In addition to the bigwigs in the Cyberspace, almost all websites and apps are initially written in Python. The ease of handling and its flexibility as a glue language has turned it into a Universal language for Coding.
To take your data analytics career to the next level, visit https://www.stratascratch.com/.