What is data science?
Data science is the study of information. Nowadays, many companies use it to grow their business by solving complex problems and making strategies using data science.
Which different languages are studied under data science?
There are many useful languages to study under data science. Among these languages, Python and Java are the most popular. A few examples are Python, Java, C/C++, SQL, etc.
Python is the most popular data science programming language, and the main reasons are that it is very easy to use and its interface is also very easy.
Java is also a very useful language to study because of its features. It can be used to build large projects.
PYTHON
As I said, Python is the most popular in data science. This is because of its wide use.
It is best used for automation. It saves a lot of time in data science. The biggest pro of Python is its use by a large community. Apart from this popularity, the python has one con too. The only con of Python is its speed of processing the result.
JAVA
Java is the second most popular language in data science. Java has the best features which help users make big projects. We can also make artificial intelligence projects using Java.
The biggest pro of Java is that it can build complex programs and applications. We can also use Java to build mobile or desktop applications easily. Speaking about Java’s cons, it is not easy to understand this language. Compared to Python, which is very easy to use and whose syntax is also easy compared to Java.
C/C++
It is one of the oldest languages, and it is very easy to learn data science in this language. C/C++ is used in data science because of its ability to compile results faster.
It is used for complex projects that require massive scalability and performance requirements. Talking About its cons, it is very complicated for beginners due to its low-level nature.
SQL
SQL is a database computer language designed for structured databases. It is very important to learn SQL if you opt for data science as your career. It is often used for structured and relational databases. Its cons are many. Its UI is one of the biggest issues. It is very complicated to understand SQL. That’s why fewer people are interested in this language.
Scala
It is a popular and widely used language that runs on JVM. It is a functional language, and as it runs on JVM, it is compatible with Java. It is the best language where there are many high-volume data sets. Apache Spark was written using Scala, so Scala would be a better language if your projects used Spark.
Tensor Flow
Tensor Flow allows you to split your graphs and display them on different parallel GPUs and CPUs. It is based on the ML framework. It is best used with distributed computing and numerical computing.
R
It is the best language for a financial firm involved in data mining.