Which languages are used in python programming?

data analytics course

Which Languages Are Used In Python Programming?

Python is a high-level programming language that has gained immense popularity in recent years. It is used in a wide range of applications, from web development to scientific computing. One of the reasons for its popularity is its simplicity and ease of use, making it an ideal language for beginners. Python is also open-source, meaning that it is free to use, distribute, and modify. But what are the languages used in Python programming? Let's dive in and find out.

In this article, we will explore the various languages which are used in Python programming and methods in which Python is used for data visualisation.

Basic Language Used In Python

Python itself is written in C, a low-level programming language that is used to create operating systems, drivers, and other system-level software. C provides Python with the necessary speed and efficiency, making it a powerful language for various applications. Most of Python's standard library is also written in C.

Other Languages Python Can Interface With

One of the benefits of Python is its ability to interface with other programming languages. This is made possible through language bindings, which are essentially a bridge between Python and another language. Some popular language bindings for Python include:

C/C++: Python can interface with C and C++ using the Python/C API, making it possible to write Python modules in C/C++.

Java: Jython is an implementation of Python that runs on the Java Virtual Machine (JVM).

NET: IronPython is an implementation of Python that runs on the NET Framework.

Rust: RustPython is a project that aims to implement Python in Rust, a systems programming language.

Python For Data visualisation And Data Analytics

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Data analytics is a field that involves using data to make informed decisions. Python is a popular language for data visualisation, but it is often used in conjunction with other languages, such as:

SQL: SQL is used to query and manipulate data stored in relational databases. Python can interface with SQL databases using libraries such as SQLAlchemy and PyODBC.

R: R is a language specifically designed for data analysis and statistics. Python can interface with R using the rpy2 library.

MATLAB: MATLAB is a language commonly used in scientific computing. Python can interface with MATLAB using the MATLAB Engine API for Python.

There are many resources available for learning Python online like the Postgraduate Program in Data Analytics and Machine Learning. If you are interested in pursuing a career in data analytics, then enrolling in a data analytics course with placement is among the best ways.

Postgraduate Program in Data Analytics and Machine Learning

Young professionals may learn Python online and other new skills with the aid of Imarticus, a top learning platform that offers courses that are focused on the workplace. Students can enrol in the 6-month Postgraduate Program in Data Analytics and Machine Learning, a job-focused certification programme, to master machine learning and learn Python for data visualisation.

Students learn to create analytical models to solve practical issues and enhance corporate decisions. Together with a job interview guarantee, the Postgraduate Program in Data Analytics and Machine Learning enables students to work with organisations like Cognizant, IBM, Goldman Sachs, Standard Chartered, and others. The following are some advantages of completing Imarticus' Postgraduate Program in Data Analytics and Machine Learning:

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The data analytics course follows a job-oriented curriculum which ensures that professionals learn what is necessary for their job. This also makes them ready for top management roles in organisations.

Students who enrol in the Postgraduate Program in Data Analytics and Machine Learning have the opportunity to compete in national-level events like hackathons hosted by KPMG India.

Final Thoughts

Python is a versatile language that can be used in a wide range of applications, from web development to data analytics. Its simplicity and ease of use make it an ideal language for beginners, while its power and flexibility make it a favourite among professionals. Python can interface with other languages, which allows it to be used in conjunction with other tools and techniques. If you're interested in learning Python online, there are many resources available, including courses by KPMG and Imarticus.

Whether you're a beginner or an experienced programmer, Python is a language that is worth exploring. If you want to advance your learnings, enrol for the Postgraduate Program in Data Analytics and Machine Learning. It helps you learn Python for data visualisation and data analytics.

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