Best Programming languages for Data Analysis📊
Tags: datascience, database, programming, opensource
Published: 2023-12-07 11:51:31

Hi 👋

Today, I'm going to list down 5 best programming languages which helps a lot in data analysis.

Let's get started🚀

## 1️⃣ Python
![Python](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/cg5t80ddskdygupkz7ws.png)

Python programming language is extremely versatile, dynamic 
and has a wide range of uses, Now a days most of the programmers are already familiar with it. Python is a must-have for any data analyst. It is a simple language compare to other languages, and focuses more on readability.

Python has a huge range of resource libraries suited to a variety of different data analytics tasks. For example, the **NumPy** and **pandas** libraries are great for streamlining highly computational tasks, as well as supporting general data manipulation. Libraries like **Beautiful Soup** and **Scrapy**are used to scrape data from the web, **Matplotlib** is used for data visualization and reporting. Python’s main drawback is its speed, it is memory intensive and slower than many languages. 

_Visit official site: [https://www.python.org/](https://www.python.org/)_

{% cta https://github.com/python %} 🌟 Visit Github {% endcta %}


## 2️⃣ R
![R](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/a0x9xq4eufd0kboq40tz.jpg)
R is a popular open-source programming language. It is commonly used for **statistical analysis, data visualization, and data manipulation**. It can easily manipulate data and present it in different ways.

R is built specifically to deal with heavy statistical computing tasks and it is very popular for data visualization. **R’s syntax** is more complex compared to python language. It integrates well with other languages and systems including **big data** software. main drawback is its poor memory management.

_Visit official site: [https://www.r-project.org/](https://www.r-project.org/)_

## 3️⃣ SQL 
![SQL](https://miro.medium.com/v2/resize:fit:828/format:webp/1*nLoy43SB-PNH9r_eXhqErg.jpeg)
SQL is not a typical programming language its a **domain-specific** language, it's like a secret language for talking to databases. Structured query language is used to interact with the database for **accessing, cleaning, and analyzing the data** that is stored in databases. With **SQL queries**, users can easily analyze the data and can get the valuable information.

## 4️⃣ Julia 
![Julia](https://i0.wp.com/locusit.com/wp-content/uploads/2022/09/zIX4l7G.jpg?fit=1200%2C675&ssl=1)
Julia is also a best tool in data science field and it helps a lot in **numerical computing**. Sometimes it's referred to as the **inheritor of Python**, Julia is a highly effective tool compared to other languages used for data analysis.

Julia is not as widely adopted as languages such as Python and R. It has a smaller community and doesn't have as many libraries as Python and R. Despite this, Julia is also a promising language for data science due to its **speed, clear syntax and versatility**, and there are many use cases where it excels.

_Visit official site: [https://julialang.org/](https://julialang.org/)_

{% cta https://github.com/JuliaLang/julia %} 🌟 Visit Github {% endcta %}

## 5️⃣ esProc SPL
![esProc SPL](https://miro.medium.com/v2/resize:fit:1400/format:webp/1*30U0ST090ocujJl7VnvQag.png)
esProc SPL is a Low code, High performance, Lightweight, Versatility scripting language for data processing. It has a well-designed **rich library** functions and **powerful syntax**, which can be executed in a Java program through JDBC interface and computing independently. It has better functionalities than the other data processing languages based on JVM (Such as Kotlin and Scala).

It uses self created **SPL**( [Structured Process Language](https://c.scudata.com/article/1634722432114)) syntax and its more concise and efficient to use. It is mainly used for computing and processing of **structured and semi-structured data**. The **processing speed** of SPL is more compared to other programming languages.

_Visit official site: [https://www.scudata.com/](https://www.scudata.com/)_

{% cta https://github.com/SPLWare/esProc %} 🌟 Visit Github {% endcta %}

Thanks for reading :)