Big Data Figure

Big Data Figure

Date that article was published: September 8, 2022

Summary of Article

The Top Programming Languages article describes the most important programming languages to know within the data science industry in 2022. The article lists the top five programming languages and then goes into detail about each language and why it is so important to the practice of data science. In the following section, I will include the five programming languages included in the article and brief summaries of the author’s reasoning behind including each language.

Top Programming Languages

Java

Java is the most widely used and well-liked programming language. It is also typically regarded as one of the most popular for data analytics.

Some Java advantages are:
* User-friendly
* Portable and automated memory management for quick debugging
* Ability to design visually engaging content
* Many libraries

C++

C++ is known as the “fastest programming language” and is perfect for applications where time is important. Common uses of C++ is for data-science based applications such as cloud software, business software, and banking software.

Python

Python is the most widely-used programming language for data science due to its simplicity and flexibility. In addition, there are a large number of data science libraries available to Python data analysts such as:
* Numpy
* Pandas
* Scikit Learn
* Matplotlib

SQL and NoSQL

SQL and NoSQL are languages used to query, handle, and process relational databases, the most important piece of data science.

R

R is used primarily primarily for analytical tasks as it is able to handle large and complicated amounts of data. Common packages used in R are:
* Ggplot2
* Dplyr

Author Information

Learnbay is the author of the article that In included in this rmarkdown document. Learnbay is a learning platform that designs courses to fulfill requirements of corporate careers. Users can enroll in a plethora of courses to engage in and expand their knowledge of many topics including data science.

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