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Data Science is a study of analyzing data in different aspects. In several cases of consideration of data analysis, there is a general abstract framework that describes a basic structure on how data has to be designed. For example, in the generation of music notes, there's a certain criterion like using only particular music notes for the respective tunes. Describing data analysis is a difficult conundrum. Developing a framework involves considering the elements of the data and implementing it using programming language.

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Why should we use programming languages for data analysis?

As we know, data is used in many streams such as banks-to store customer details, hospitals-to store patient records and so on. For this, we require a place to store all the data. To make it function according to the requirements, we make use of programming language.

Let's take a look at the different programming languages that we use for Data Science.

Programming Languages-

As there is a lot of scope for a career in data science, the knowledge of these languages play a major role in building your career. Programming is a must in all the fields these days. Especially when you are dealing with data. But having knowledge only in programming don't yield you much. To consider this, let's take a look at the general question that might arise.

Who should get to the field of data science?

The answer is obvious. If you have the skills that meet the requirements of a data scientist, you are good to go! Let's consider the skills that are required.

Many programming languages are used today, some are used, and some have gone obsolete. In the last few years, the programming scenario has changed drastically as developers and programmers are searching for more universal and approachable languages. This is the reason why Python language has become so famous recently. The Python community is growing bigger day by day as many programmers are now finding it to be one of the most user-friendly programming languages.

Python language has become so famous that every field and sector is now a user of it. Even though the other programming languages are not losing their fans, Python is increasing its fan base. Therefore, more and more people are now aspiring to learn Python. Some of the reasons why having a certification in Python can be helpful are discussed below:

Machine learning

Today, almost everything runs through algorithms, whether it is a search engine, social media, chat bots, virtual personal assistants, etc. These Hop over to this website sophisticated algorithms are the result of machine learning and it has changed the entire technological scenario. With machine learning, the major programming language that is been used is Python, and one can find many libraries dedicated to machine learning only.

Big data

Python is used in data science the most and the professionals in this field are required to have expertise in this programming language. Though there are many other languages like Java, R, etc. which is used for data science, Python remains the favorite. This is because of the diversity it allows in automation technology, along with with the various framework and library available like NumPy, PyBrain, etc.

Web development

There are many websites these days like Reddit which are developed using Python language. The main reason why the Python programming language is used in web development is its speed and effectiveness. Using PHP developing a website can take hours, while using Python will take only a few minutes. Also, there are frameworks and libraries like Django and Flask which make the work much easier.

Community

One of the areas that programmers search for these days is the communities. In these communities, the developers and programmers can connect with others from any part of the world and can share their experiences and technologies. This helps them in learning new things about Python and how to solve various issues that may arise while coding.

Libraries

Libraries are really helpful when it comes to application and website development. One can find any kind of code. Python has a huge number of frameworks and libraries like Flask, Django, NumPy, Scipy, Pandas, Tensorflow, Keras, etc. One needs to concentrate on the logic and objective and the codes are easily available in the libraries.

Simple

Lastly, the biggest reason why programmers use Python is the fact that it is a simple programming language. It is a beginner user-friendly language as it does not require a lot of complex codes and syntaxes which are not understandable. Python has an easy and readable syntax and coding which makes its set-up and usage much easier.