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What Is Python Used For?

Python code on computer screen

You may be considering a career in software development and have discovered that Python knowledge is a prerequisite for many of the jobs you’re coming across.

That’s no surprise. In 2020, about 29.9% of all programming language tutorials searched for on Google were for Python, making it a far more popular programming language than Java, which came in second with 19.1% of all searches.¹

If you’re a beginner and just getting started with learning Python, don’t fret.

Python is widely considered a simple and easy language to learn, and our online courses can help you become a Python expert in no time. Not to mention that the language has a wide range of industry applications, so you’d be able to capitalize on your new skills pretty quickly.

Let’s take a look at the different applications of Python and why the language is so popular among beginner and veteran programmers alike. Blockchain, in particular, has taken the world by storm, which is why we’ve developed a dedicated Python course looking at its increasing application in blockchain development. Read on to find out more.

What Is Python?

Created by the Dutch programmer Guido van Rossum in 1991, Python is a dynamic, open-source, interpreted programming language that uses a simple syntax to execute commands. The origin of the name is far less mysterious than you may think. When Guido was working on the language, he was also reading a script of Monty Python’s Flying Circus, a comedy series from the 1970s, and opted for Python as a short and unique name for his programming language.²

Unlike Java, C++, and other programming languages which require compilation before they run (i.e. the source code has to be converted into an executable program the computer understands), Python programs run without any code compilation. Likewise, Python supports multiple programming paradigms (i.e. different ways in which a given program can be organized), like object-oriented (OOP), procedural, and functional programming, making it super versatile and easy to work with. In contrast, Java and C++ are static languages that don’t support free procedures and have a high entry threshold before you can start coding with them.

What Is Python Used For?

Due to its simplicity and flexibility, Python is finding ever-increasing applications in business. Rather than relying on an endless stream of curly brackets, Python uses clean space as a way to separate code lines and relies on an easy-to-understand syntax to develop applications. The language, therefore, has found wide use in game development and mathematical applications as well as user experience (UX) and web app design. Some of the major companies like Google, Netflix, and Spotify all use Python in their applications and have helped make the language more mainstream.

Some of the most common Python applications today include:

List of most common uses of Python

Common Python Applications

  • Data Science

    Data is everywhere. It’s the bread and butter with which companies define customer experience, streamline business operations, and inform their overall business strategy. In order to make the most out of their data, they need data scientists who can help analyze it and interpret it into meaningful insights.

    Here’s where Python plays a key role. The programming language is flexible, which means that data scientists can easily tweak and manipulate data without having to spend too much time on it. Likewise, the language is open-source and well-supported with a number of online communities, libraries, and frameworks (like PyTorch or TensorFlow), which you can use to speed up your data analytics process.

  • Web Development

    Python comes with a wealth of frameworks and pre-existing libraries which can speed up the deployment of any web application. The language is also highly adaptable with dynamic typing capabilities, which means that code can be executed at runtime without the additional need to compile or translate scripts. This makes the coding process, as well as debugging issues, much more efficient and easier.

  • Search Engine Optimization (SEO)

    SEO is an important aspect of marketing that helps companies get discovered online. Since the algorithms that dictate how SEO works evolve all the time, SEO experts can benefit from the automation that Python offers.

    For example, good SEO ranking depends on many factors, one of which is quality content on your website. Using Python, you can scrape search engine results pages (SERPs) for a given keyword, see what content already exists on the topic, and develop hundreds of targeted content briefs, at scale.

  • Machine Learning

    Going back to its vibrant community and a growing pool of libraries, Python is great for deploying machine learning (ML) and artificial intelligence (AI) solutions fast. For example, you can rely on popular libraries like NumPy, SciPy, and Scikit-learn to re-purpose and build on an existing chunk of code and have a comprehensive solution within weeks, rather than months.

    Speed is key in the business world, where a single innovation or improvement in your services can give you the edge over your competition and help you win market share. It makes sense then that 57% of machine learning developers use it in their work, while 33% prioritize it for development.³

  • Blockchain Development

    The emergence of blockchain technology has disrupted the cybersecurity space by offering a super secure approach to data encryption and data storage. Blockchain is a decentralized, distributed ledger where the information stored on each data asset is unchangeable and difficult to tamper with. The technology is widely used in the finance, medical, and professional services sectors where data security is paramount.

    Even though most blockchains have traditionally been written in C++, Python is becoming increasingly popular due to its simple and clean interface. Since Python tries to emulate the human language as much as possible, a programmer can write a simple blockchain in less than 50 code lines. In fact, having Python knowledge can be a way to stand out when pursuing a career in this industry.

    This is why we’ve dedicated a full course to this topic. Rather than having to take several courses to learn Python and blockchain separately, we’ve combined the two into a single course. Taking our new Python course will not only give you the programming foundation you need to start coding immediately, but it will also give you the confidence to pursue niche opportunities where businesses may be looking for blockchain expertise.

Food for Thought

Two-thirds of business leaders today feel like they’d need to come up with new digital models in 2023 to keep up with their competition.⁴ This means that there will be an increased reliance on data and data security to drive business growth.

Blockchain technologies, in particular, are seeing rapid adoption across industries – moving from being a buzzword for cryptocurrency trading towards a wider application in fraud management and supply-chain monitoring. Therefore, there has never been a better time to become a Python and blockchain expert.

Are you ready to get started on your coding journey? Apply today and join hundreds of other tech learners.


Resources:

¹ Statista, “Python Remains Most Popular Programming Language” on the internet (Viewed on Dec. 5, 2022)

² Python, “General Python FAQ” on the internet (Viewed on Dec. 5, 2022)

³ Towards Data Science, “What is the Best Programming Language for Machine Learning?” on the internet (Viewed on Dec. 5, 2022)

⁴ McKinsey Digital, “The New Digital Edge: Rethinking Strategy for the Postpandemic Era” on the internet (Viewed on Dec. 5, 2022)

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