Python: what it is and how it is applied in Big Data

It is difficult to separate Python from the data-driven universe that the digital world has pushed us toward. Do you want to know what exactly Python is and why Big Data would not be the same without this key technology for programming? 

Hundreds of thousands of applications are being downloaded at this very moment, just as many are being developed, and countless teams are creating innovative software while you read this article… What connects all of them? Five letters behind a term we focus on below: Python. What is Python, and why is it on the lips of leading tech professionals? 

What is Python?

Python is a programming language that has made its way into the world of new technologies, in the field of developing programs, applications, and all kinds of software. It is, so to speak, a coding system that offers countless advantages—strengths that have made it stand out over other languages used until now. In fact, today it is widely used for apps and software. 

Python is therefore a high-level programming language, and professionals highlight that it is more intuitive and easier to use than others that were commonly used before. It is object-oriented and has dynamic semantics that allow it to be efficiently applied to software applications and websites.

This innovation was created in 1991 by Guido van Rossum, a computer scientist from the Netherlands. Interestingly, he named it Python because he wanted a name that was “short, different, unique, and slightly mysterious.”

Functions of Python in Big Data

This programming language has various functions. One of its main areas of application is data management. The world of Big Data has made great use of what Python offers, especially highlighting the following functions: 

1. It enables effective visual representations from complex information.

Professionals highlight that it includes several specialized libraries—NumPy, Matplotlib, and Pandas—used for analyzing, processing, and visualizing data.

2. It facilitates process optimization.

Closely related to the previous point, these visualizations and the methods used help streamline procedures and tasks that would otherwise be more complex to execute.

3. Artificial Intelligence / Machine Learning.

The algorithms that form the basis of AI—used to analyze, process, and transform data—benefit from Python. It provides power and scalability to handle large volumes of data efficiently. In this context, it is important to mention libraries such as TensorFlow and Scikit-Learn, widely used by Python professionals.

4. Web and software development.

This is one of its most prominent applications. Python allows developers to create programs and applications more quickly thanks to its versatility. It is compatible with different operating systems and devices, which is a major advantage compared to other programming languages.

5. Automation and command scripting.

This point is closely linked to all the previous ones, but deserves to be highlighted on its own. Python is a benchmark for scripting (command sequences). It is widely used in industries such as entertainment, including video games.

Python has become an essential tool for professionals who want to develop a career in programming and Big Data. It uses an easy-to-read and highly intuitive programming code, as highlighted below.

How does Python work?

When discussing how Python works, we highlight some key aspects without going into highly technical details. It is essential for professionals in the field, and requires specialized training through programs such as the Global Master in Business Analytics and Data Strategy and the Master in Big Data & Analytics at EAE Barcelona.

That said, here are some key points about how Python works that explain why it is now a leading programming language among experts:

• It can be used across different operating systems, including Windows, macOS, Unix, and Linux.
• It relies on a large standard library of reusable code, reducing the need to program from scratch.
• It has a simple syntax that is quite similar to the English language.
• It can be combined, when necessary, with other widely used programming languages such as C, C++, and Java.

The key to understanding how Python works lies in its code modules. These are interchangeable blocks of instructions that allow developers to access a wide range of functionalities that simplify software development. Only trained professionals should use this system. It is relatively easy to learn, which is one of its main advantages.

Advantages of Python in Big Data

It is clear that Python is one of the leading programming languages today. Many job offers in software development and Big Data require candidates to know and master Python. These are some of its main advantages compared to other programming languages:

1. The most popular language today, which is why it appears in many job listings.
2. Versatility, as it can be used across different platforms and systems.
3. Extensive range of libraries and tools for developers.
4. Easy automation of processes and tasks.
5. Fast and simple learning curve due to its intuitive design.
6. Compatibility with most modern technologies, especially Big Data, AI, and Machine Learning.
7. Very active user community, which drives constant innovation.

These are some of the key strengths of Python. Its advantages explain its growing popularity, so anyone who wants to build a career in this field should learn and master it to access the best professional opportunities.