Is Python only for Data Science

Python is one of the most popular programming languages among data scientists. Therefore, if you want to become a data scientist, you may want to learn python.  In this article, we will talk about if Python is used in the field of data science only. Basically, python is a high level programming language, which is why it is easy to understand for humans. This object oriented language appeared in 1992 for the first time. If you want rapid development, keep in mind that Python is one of the best language. Let’s find out more.

As far as the users of this language are concerned, know that many of the biggest organisations use this language. Some of these organisations and companies include Spotify, Netflix, Google, and NASA, just to never few.

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What is Python used for? 

Nowadays, Python has been increasing in popularity all over the world. The million-dollar question is what’s the purpose of Python? Now let’s talk about some other applications of python.

1. AI and machine learning 

Python is a simple, flexible and stable programming language. Therefore, this coding language is an ideal choice for Artificial Intelligence and machine learning purposes. As a matter of fact, data scientists like this programming language a lot for many reasons. The good news is that python comes with a lot of libraries that make things easier for programmers.

If you are into Artificial Intelligence and machine learning, you may want to learn Python and improve your programming skills using this language. As a matter of fact, if you want to make progress in the world of artificial intelligence and deep learning, python is the language for you.

2. Data Analytics 

There has been rapid progress in the world of Data Analytics just like ML and AI. Today, there is tremendous production of data on a daily basis. Therefore, there is a high demand for professionals who can collect, analyze and filter data. 

It makes perfect sense to use python in the field of data science. The reason is that this programming language is used for various applications due to its flexibility, support, and ease of learning.

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Therefore, we can say they that this programming language is one of the best choices for data analysis. If you want to handle large-scale data, you can use Python to manipulate data and perform repetitive tasks.

3. Data Visualization 

Apart from machine learning and artificial intelligence, another popular area of interest is data virtualization. Python has a lot of attributes that make this language ideal for data visualization. Since Python is an open-source programming language, it comes with several graphing libraries. 

If you want to develop a simple GUI, we suggest that you use the right type of library to cover your needs, such as Plotly and Pandas Visualization. A metro fact, there are endless possibilities, which can help you get meaningful insights from the available data.

4. Programming applications 

Python is one of the best choices when it comes to programming applications. Since Python is a general purpose language, you can develop file directories, APIs, and GUIs. Apart from this, you can use Python for other applications, such as machine learning, video and audio applications, just to name a few.

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Therefore, if you want to start your programming career, we suggest that you consider Python. This programming language is not used in the field of data science only.

5. Web development 

If you are into web development, you can use python. The good news is that Python comes with a lot of Python web development frameworks, such as flask, pyramid, and Django. 

Apart from this, professionals use these frameworks to develop websites and many services like Mozilla, Reddit and Spotify. 

Python frameworks come with a lot of extensive modules and libraries. Therefore, you can enjoy data authorisation, content management, and database access. Python is a versatile programming language, which is why programmers use the C language for web development applications.

6. Game development 

Python is also used to develop games. As a matter of fact, it is the standard programming language for game development all over the world. The good news is that you can use python to develop simple games. Apart from this, you can use this language to create a prototype.

If you have never developed a game using python, know that you can use this programming language to develop a text based game. During this process, you can improve your skills and knowledge.

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7. Language development 

Since Python is a simple programming language, it can help create new programming language. As for as Syntax is concerned, Cobra and CoffeeScript are quite similar to each other. Apart from this, Python is one of the best gateway languages. Therefore, you can make progress in other areas as a beginner.

8. Finance 

Finance is another field where Python is commonly used. Some common areas include qualitative and quantitative analysis. If you want to figure out the trends in asset price and prediction, Python is for you. In the same way, you can use this coding language to automate workflows. 

As said earlier, you can work with large-scale data using Python. The good news is that you can choose from many Python libraries to compile and process information. Therefore, finance industry can get the most out of this programming language.