Top Programing Language

Most Popular Programming Language 2020

Programming Languages are the set of commands which make the user-defined operation has to be done In the world which is going to be full of automation, it is necessary to learn Programming Language. For beginners programming languages like Python and Ruby

Programing Language is basically used to solve a real-world problem.

 On average today there are about 500 to 700 Programming Languages.
In which every language has its own specification and use in industry where some of them are outdated and to handle different operation we use some of the Most popular and powerful languages which are mentioned below.

as well I have suggested some of the books which will be helpful for beginners as well as a learner so you can go through the image links which are mentioned below the article

Programming Languages:

1. Julia
2. SQL
3. Scala
4. R
5. Python
6. Java
7. Matlab
8. TensorFlow

1. Julia

Julia is a high-level dynamic Programming Language designed to address the needs of high-performance numerical analysis, and Scientific Computing is rapidly gaining popularity amongst the data scientists. It is a newer language, also capable of general-purpose programming as well and hasn’t been around as long as R or Python.

Due to its faster execution, Julia has become a perfect choice for dealing with complex projects containing high volume data sets. For many basic benchmarks 

Julia Programming Language Is Faster runs 30 times quicker than Python and regularly runs somewhat quicker than C code. If you like Python’s Programming Language syntax while you have a massive amount of data, then Julia is the next programming language to learn.

A joint effort between Jupyter and Julia communities, it gives a fantastic program based graphical notebook interface to Julia. People, who are searching for the best performance parallel computing language focused on numerical computing, Julia is a perfect language for them.

2. SQL

SQL (Structured Query Language) is one of the most popular amongst the Data Science field. It is used well for querying and editing the information stored in rdbms(Relational DataBase). And also, mainly used for storing and retrieving data for decades. It is used in managing particularly large databases, reducing the turnaround time for online requests by its fast processing time. Having SQL skills can be the biggest asset for Machine Learning and Data Science professionals, as SQL is the most preferred skill set for all the organizations.

3. Scala

Scala (scalable language) is one of the best-known languages with one of the largest user bases. It is a general-purpose, open-source programming language that runs on the JVM(Java Virtual Machine). Scala is an ideal choice of language for those working with high-volume data sets and has full support for Functional Programming and a strong static type system.

Since it was developed to run on the JVM, it allows interoperability with the Java itself, making Scala a very great general Programming language, while also being a perfect option for data science.
Cluster computing framework Apache Spark is written in Scala. If you want to juggle your data in a thousand processor cluster and have a pile of legacy Java code, then Scala is an incredible open-source solution.

4. R

It is one of the most often used tools. R Programming Language is an open-source language and software environment for statistical computing and graphics, supported by the R Foundation for Statistical Computing. These skill sets have high demand across recruiters in Machine Learning and Data Science.

R provides many statistical models, and numerous analysts have composed their applications in R.  It is the topper of open statistical analysis, and there is a clear focus on statistical models which have been composed utilizing R. The public R package archive, contains more than 8,000 networks contributed packages. Microsoft, RStudio, and various organizations give business support to R-based computing.

5. Python:-

Python Programming Language is an extremely popular general-purpose, dynamic, and is a widely used language within the data science community. It is commonly referred to as the easiest programming language to read and to learn. Since it combines quick improvement with the capacity to interface with high-performance algorithms written in Fortran or C, it has become the leading programming language for open data science.

With the advancement of technologies such as Artificial Intelligence, machine learning, and predictive analytics, the demand for experts with Python skills is rising significantly. It is widely used in web development, scientific computing, data mining, and others.

6. Java

Java is an extremely popular, general-purpose language that runs on the Java Virtual Machine (JVM). Many numbers of organizations, particularly MNC organizations use this language to create backend systems and desktop/mobile/web applications. It is an Oracle-supported unique computing system that empowers portability between platforms.

7. MATLAB

Matlab is developed and licensed by MathWorks. It is a quick, stable and ensures solid algorithms for numerical computing language used entire academia and industry. Considered to be a well-suited language for mathematicians and scientists dealing with sophisticated mathematical needs such as Fourier transforms, signal processing, image processing, and matrix algebra.

MATLAB widely used in statistical analysis such as applications or day-to-day roles requires intensive, advanced functionality in mathematical makes it a serious option for data science.

8. TensorFlow

TensorFlow is an excellent open-source software library for numerical computation. It is a machine learning framework suitable for large-scale data. It works on the basic concept. For instance, if you want to perform a graph of computations in Python, once you defined, then TensorFlow will run it by utilizing a set of tuned C++ code.

One of the most significant advantages of TensorFlow is that the graph can be broken into many chunks that can keep running in parallel over various GPUs or CPUs. And also supports distributed computing; thus, you will be able to train huge neural networks on immense training sets in a short time.

TensorFlow is the second generation system from Google Brain.  It powers a large number of Google’s large-scale services, like Google Search, Google Photos and Google Cloud Speech.

So these are a list of Programming Languages which you can learn in 2020.

Here friends good news for you I have my GitHub account where I post lots of small code block which you can customize and run on your machine if you have any doubt regarding that do comment I will always try to help you out

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