Programming Languages For Data Scientists Must Know

2023-02-01T00:00:00+00:00

Becoming a data scientist does not require an IT background. From the networks I follow on LinkedIn, many people have changed careers from various backgrounds to become data scientists. And that’s only natural, considering that companies around the world are flocking to the digital industry. In early January 2023, I tried to transition from designer to data scientist.</p>

Alright, let’s get straight to the topic. Here are the programming languages that data scientists need to know. What are they?</p>

Python

Books: Python Books</a>, Realpython Books</a></li> </ul>

Python, created by Guido van Rossum</a>, is a high-level data structure programming language that is simple, clear, and logical, yet effective for object-oriented programming (OOP).</p>

Python also offers a wide range oflibrary</a>. For example, pandas, numpy, scipy, scikit-learn, matplotlib, seaborn, and many more for data science needs. You can try Python using the link above and practice your programming skills every day.</p>

python</span></span></code></pre>Python 3.10.9 (main, Dec  6 2022, 18:44:57) [GCC 11.3.0] on linux</span></span>
Type "help", "copyright", "credits" or "license" for more information.</span></span>
>>> print("Hello World")</span></span>
Hello World</span></span></code></pre>SQL#</span></a>
</h2>

Website: 

MariaDB</a></li>
Documentation: 

MariaDB Docs</a></li>
Books: 

MariaDB Books</a></li>
</ul>
SQL (pronounced: sequel) or Structured Query Language is a programming
language for accessing data in relational databases (RDBMS). Almost all
database servers use SQL for data management.</p>
Data scientists will inevitably deal with databases, such as creating
databases, processing data, and translating data to make it more
understandable. This is necessary for determining stakeholder decisions.</p>
When using SQL, 

MariaDB</a> (a derivative of 

MySQL</a>) is used for data management because it is more
flexible to develop openly and is not tied to proprietary licensed
products (Oracle). MariaDB also has more storage engines than MySQL.</p>
sudo</span> mysql</span> -u</span> root</span> -p</span></span></code></pre>Welcome to the MariaDB monitor.  Commands end with ; or \g.</span></span>
Your MariaDB connection id is 3</span></span>
Server version: 10.6.11-MariaDB MariaDB Server</span></span>
Copyright (c) 2000, 2018, Oracle, MariaDB Corporation Ab and others.</span></span>
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.</span></span>
</span>
MariaDB [(none)]> show databases;</span></span>
+--------------------+</span></span>
| Database           |</span></span>
+--------------------+</span></span>
| hervymart          |</span></span>
| hervypraktek       |</span></span>
| information_schema |</span></span>
| mysql              |</span></span>
| performance_schema |</span></span>
| sys                |</span></span>
+--------------------+</span></span>
6 rows in set (0,097 sec)</span></span>
</span>
MariaDB [(none)]></span></span></code></pre>R#</span></a>
</h2>

Website: 

R-Project</a></li>
Documentation: 

Posit Docs</a></li>
Books: 

R-Project Books</a></li>
</ul>
The R programming language is better known as a programming
language for statistics and graphical visualization. Created by 

Ross Ihaka</a> and 

Robert Gentleman</a> at the
University of Auckland, it is now developed by the R Development Core
Team.</p>
The R language, under the GNU GPL license, has become the de facto
standard among statisticians for statistical software development, and
is widely used for statistical software development and data analysis.</p>
The R language can be used with 

Jupyter</a> or 

RStudio Posit</a> to make it easier for data scientists to process
data.</p>
R</span></span></code></pre>R version 4.2.1 (2022-06-23) -- "Funny-Looking Kid"</span></span>
Copyright (C) 2022 The R Foundation for Statistical Computing</span></span>
Platform: x86_64-pc-linux-gnu (64-bit)</span></span>
</span>
R is free software and comes with ABSOLUTELY NO WARRANTY.</span></span>
You are welcome to redistribute it under certain conditions.</span></span>
Type 'license()' or 'licence()' for distribution details.</span></span>
</span>
  Natural language support but running in an English locale</span></span>
</span>
R is a collaborative project with many contributors.</span></span>
Type 'contributors()' for more information and</span></span>
'citation()' on how to cite R or R packages in publications.</span></span>
</span>
Type 'demo()' for some demos, 'help()' for on-line help, or</span></span>
'help.start()' for an HTML browser interface to help.</span></span>
Type 'q()' to quit R.</span></span>
</span>
> print("HelloWorld")</span></span>
[1] "HelloWorld"</span></span></code></pre>Julia#</span></a>
</h2>

Website: 

Julia Language</a></li>
Documentation: 

Julia Language Docs</a></li>
Books: 

Julia Language Books</a></li>
</ul>
The Julia programming language is one of the languages used for
efficient numerical analysis and data visualization. Similar to Python,
Julia is a high-level language with syntax that is relatively easy for
beginners.</p>
Julia is arguably Python’s competitor, as its performance is much faster
than Python’s. This is because Julia is compiled with the LLVM framework
for JIT compilation, which is comparable to the speed of C. In addition,
Julia can be integrated with VIM, Jupyter, and 

Julia VScode</a>. Julia also has 

Julia Packages</a> for libraries needed by
data scientists, and interestingly, Julia has 

FluxML</a>, a
library specifically for machine learning.</p>
julia</span></span></code></pre>   _       _ _(_)_     |  Documentation: https://docs.julialang.org</span></span>
  (_)     | (_) (_)    |</span></span>
   _ _   _| |_  __ _   |  Type "?" for help, "]?" for Pkg help.</span></span>
  | | | | | | |/ _` |  |</span></span>
  | | |_| | | | (_| |  |  Version 1.8.5 (2023-01-08)</span></span>
 _/ |\__'_|_|_|\__'_|  |</span></span>
|__/                   |</span></span>
</span>
julia> print("Hello World")</span></span>
Hello World</span></span>
julia></span></span></code></pre>Scala#</span></a>
</h2>

Website: 

Scala Language</a></li>
Documentation: 

Scala Language Docs</a></li>
Books: 

Scala Language Books</a></li>
</ul>
Scala (Scalable language) was started in 2001 by Martin Odersky and is a
general-purpose, high-level, multi-paradigm programming language.</p>
Scala, like Java, is an object-oriented programming language that
is safe and supports functional programming. Scala runs on the Java
platform (Java virtual machine) and is compatible with existing Java
programs.</p>
object</span> HelloWorld</span> extends</span> App</span> {</span></span>
  println(</span>"Hello, World!"</span>)</span></span>
}</span></span></code></pre>
Compiling:</p>
scalac</span> HelloWorld.scala</span></span></code></pre>
Running binary:</p>
scala</span> HelloWorld</span></span></code></pre>Hello, World!</span></span></code></pre>Conclusion#</span></a>
</h2>
Regardless of the language used, tailor it to the needs and criteria of
the data at hand for greater effectiveness. The following programming
examples are organized by subheading, starting with the easiest and most
common ones, making them easier for beginners to learn.</p>
What is the best language?</strong></p>
All programming languages are the best as long as they meet the needs
and specifications, because each language has its own advantages and
disadvantages. Personally, I recommend not focusing on the language
itself, but rather understanding the basic concepts of programming
algorithms first, which is more important.</p>

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Programming Languages For Data Scientists Must Know