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What is the purpose of Python? ten practical Python applications

Someone is coding
Someone is coding with Python Programming Language


Discover some of Python's most popular applications as we investigate why it is such a popular and versatile programming language.


Despite its humble beginnings as a hobby project named after Monty Python, Python has grown to become one of the world's most popular and frequently used programming languages. Python is used for data analytics, machine learning, and even design, in addition to web and software development.


We look at some of the applications of Python and why it is such a popular and adaptable programming language. We've also selected some of our favorite Python courses, as well as some Python project ideas for beginners.


Python fundamentals


Before we get into the specifics of what Python can achieve, let's get the fundamentals out of the way. If you want to learn a programming language, these fundamentals will help you understand why Python would be a good choice.


What exactly is Python?


As we explained in our summary piece on what different programming languages are used for, Python is an object-oriented (based on data) and high-level (easier for humans to comprehend) programming language. It was first released in 1992 and is designed in such a manner that it is reasonably simple to create and comprehend. As a result, it's an excellent coding language for individuals seeking speedy development.


If you're wondering who uses Python, you'll find that it's used in some form by many of the world's largest organizations. NASA, Google, Netflix, Spotify, and a plethora of other organizations utilize the language to power their services.


Why is Python so well-liked?


According to the TIOBE index, which analyses programming language popularity, Python is the third most popular programming language in the world, trailing only Java and C. Python's popularity can be attributed to a variety of factors, including:


  • Its simplicity of usage Python may be a fantastic initial step for people who are new to coding and programming. It's quite simple to understand, making it an excellent place to begin expanding your programming expertise.

  • It has a straightforward syntax. Python's syntax is more similar to English than to French, making it very simple to read and understand. Because of its simple layout, you can easily figure out what each line of code does.

  • It has a vibrant community. Python is an open-source language, meaning anybody may use it to code. Furthermore, there is a community that contributes to and grows the ecosystem by adding their own contributions and libraries.

  • Its adaptability is As we'll see, Python has a wide range of applications. The language may be used in a variety of fields, including data visualization, artificial intelligence, and web development.


Why should you study Python?


So, now that we know why Python is so popular right now, why should you learn how to use it? Aside from the above-mentioned simplicity of usage and adaptability, there are numerous compelling reasons to learn Python:


Python programmers are in high demand. Python abilities are in high demand across a wide range of professions. If you're wanting to start or change careers, it might be a useful skill to have.


It might lead to a well-paying job. According to the data, the median yearly wage for people with Python expertise in the UK is roughly £65,000 per year.


There will be a plethora of career options. Python is anticipated to be future-proof expertise since it can be utilized in many new technologies such as AI, machine learning, and data analytics. Learning Python today might help you later in your profession.


What is the purpose of Python?

Python is clearly a popular and in-demand talent to acquire. But what is the purpose of Python programming? We've previously touched on some of the areas in which it may be used, and we've elaborated on these and other Python examples below. Python can be used for a variety of purposes, including:


First: Artificial intelligence and machine learning


Python is ideal for many machine learning (ML) and artificial intelligence (AI) applications since it is a robust, versatile, and easy programming language. Indeed, Python is one of the most popular programming languages among data scientists, and there are several Python machine learning and AI tools and packages available.


Second: Data analysis


Data analytics, like AI and machine learning, is a fast-emerging discipline that makes use of Python programming. At a time when we are producing more data than ever before, there is a demand for professionals who can gather, manage, and organize the data.


Python makes sense for data science and analytics. The language is simple to learn, versatile, and well-supported, which means it is quick and simple to use for data analysis. It is handy for altering data and performing repeated operations while working with large volumes of information.


Third: Data visualization


Another prominent and growing area of interest is data visualization. Again, it plays to many of Python's strengths. In addition to its flexibility and open-source nature, Python offers a wide range of graphing libraries with a variety of capabilities.

You may find a library to meet your demands, whether you want to build a basic graphical representation or a more dynamic plot. Pandas Visualization and Plotly are two examples. The possibilities are endless, allowing you to turn data into actionable insights.


Fourth: Application development


Python may be used to create a wide range of applications. The general-purpose language may be used to read and create file directories, as well as to develop GUIs and APIs. Python may be used to create blockchain applications, audio and video apps, and machine learning applications.5


Fifth: Website development


Python is an excellent programming language for web development. This is primarily owing to the abundance of Python web development frameworks available, such as Django, Pyramid, and Flask. Sites and services like Spotify, Reddit, and Mozilla have all made use of these frameworks.


Database access, content management, and data authorization are all feasible and easily accessible thanks to the rich libraries and modules that come with the Python frameworks. Python's popularity in web development is unsurprising given its flexibility.


Sixth: Game development


Although Python is far from an industry-standard in game creation, it does have applications in the industry. Because the programming language can be used to make basic games, it might be a great tool for quickly developing a prototype. In Python, certain functions (such as conversation tree building) are also feasible.


Seventh: Language advancement


Python's simple and beautiful architecture, as well as its syntax, has spurred the development of other programming languages. Python's syntax is comparable to that of Cobra, CoffeeScript, and Go.


This also implies that Python is a suitable entry-level language. So, even if you're brand new to programming, understanding Python can help you venture out more readily.


Eighth: Services in the financial sector


Python is rapidly being used in finance, particularly in fields such as quantitative and qualitative analysis. It may be a useful tool for determining asset price patterns and forecasting, as well as for automating procedures across several data sources.


As previously said, Python is an excellent tool for working with large data sets, and there are several libraries available to assist with data compilation and processing. As a result, it is one of the most commonly used languages in the finance business.


Ninth: Search Engine Optimization (SEO)


Another somewhat unexpected addition to our list of Python applications is in the realm of search engine optimization (SEO). It's a field that typically benefits from automation, which Python can absolutely provide. Python can assist in implementing modifications across numerous pages or categorizing keywords.


Natural language processing (NLP) and other emerging technologies are also likely to be useful to SEO professionals. Python may be a useful tool for learning these NLP abilities as well as understanding how people search and how search engines produce results.


Tenth: Design


When asked, "What does Python do?" You probably didn't expect design to be on the list. Python, on the other hand, maybe used to create visual design apps. Surprisingly, the language is supported by a variety of 2D image applications, including Paint Shop Pro and Gimp.


Python is even utilized in 3D animation applications such as Lightwave, Blender, and Cinema 4D, demonstrating the language's versatility.


Python projects for beginning programmers


So, if you've been wondering what to do with Python and who uses it, we've provided you with lots of examples. But what if you're just getting started with Python and want to become a Python developer?


We've included some Python project ideas for beginners below. These can assist you in expanding your knowledge and testing your programming abilities.


  • Create a guessing game.
  • Make a text-based adventure game.
  • Make a basic Python calculator.
  • Create an easy-to-use interactive quiz.
  • Create an alarm clock


Once you've grasped the fundamentals of Python, each of these may challenge you and help you refine your abilities.


Finally, some thoughts


That brings us to the end of our look at what Python programming may be used for. As you can see, this popular language has a wide range of applications, as well as a large support network and a diversified set of libraries.


There are several reasons why you should begin learning Python. It's a talent that's both future-proof and in high demand, and it's needed in a variety of sectors. Furthermore, we provide a wide range of Python courses that may help you grasp the fundamentals or build more specialized abilities.

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