Python Programmers: Big Data Management Language

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Working as a developer in Python has myriad benefits, it is a very useful big data manipulation language. Currently, as one of the most widely used languages ​​in the world, alongside C#, JavaScript, or Java, it belongs to the list of high-level languages. If there is a language that we should get to know more closely, especially for the world of work, it is Python. It has experienced a significant level of growth in recent years, especially in the big data sector.

What is Python?

It is known as a high-level, typed and interpreted language. The translation of this is basically that it can be easy to use and is not compiled directly before running but by means of another program or interpreter. Its origin dates back to around 1991 when the first public version was released: 0.9.0.

Curiously, the name “Python” comes from the fact that Guido van Rossum, its creator, decided it in honor of Monty Python’s Flying Circus (a famous group of British comedians). It is generally used to create software and websites, automate processes and analyze data, the latter is really interesting and we will talk about it later. It is a general-purpose language, which means that it is versatile and not developed just for one specific problem.

Benefits of using Python

Being a versatile programming language, it attracts a lot of attention from talents and programmers who want to try and master this tool. Even non-programmers have adopted this language for all day-to-day tasks related to accounting, finance or scientific subjects. If you are wondering about the advantages and what you can do with Python, we leave you some things like:

– Web development is often used to develop the back-end of a website or application.

– Software testing and prototyping. Software developers automate testing of new products.

– Framework development.

– It has portability, compatible with all operating systems (macOS, Linux, UNIX and Windows).

– It’s free and open source. Its use and distribution are free, even for commercial purposes.

– It has a strong community.

– Automation or scripting. Even beginners often use a Python Spreadsheet to automate simple tasks on a PC.

– Ideal for data analysis and machine learning.

Speaking of process automation, Python is also relevant for DevOps teams.

The advantages of the language to manage Big Data

Python has become one of the preferred languages ​​for data science, simple data and big data for machine learning, a fundamental part of the evolution of AI. It allows the manipulation of data, complex statistical calculations and the visualization of these.

Data science, deep learning, and machine learning are technologies and professions that benefit from everything Python has to offer. Apply regression, pre-processing, classifications or algorithmic model gestation for each of them. Python’s data visualization capability, for big data, is something that sets this language apart.

According to an IDC report, it is estimated that by 2025 there will be over 170 zettabytes of data around the cloud. Python will surely play a much bigger role over time thanks to this. For its different libraries (SciPy, Numpy, Pandas, or Scikit-Learn) and its short lines of code for high processing the rapidity.

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