Why is Python Perfect for Big Data?| MENAFN.COM

Tuesday, 27 September 2022 04:52 GMT

Why is Python Perfect for Big Data?

(MENAFN- Liraz Postan)

Python is a programming language that is known by many people because of its great benefits and advantages. In fact, many people acknowledged the essence of Python for big data, and they used this in different types of major industries. Because of its prominence, most of the users tend to consider this instead of other types of languages that prevail in the marketplace. 

An Overview of Python and Its Significance

Python is an open-source program language that can also be used for many different purposes. This is also used by big industries like Instagram, Venmo, and Reddit. If you’re wondering about the significance of Python to big data, then it would be necessary to keep in touch on the succeeding discussions. This article will discuss the different reasons why Python is said to be suitable and perfect for big data. 

Nowadays, both Big Data and Python is a perfect combination that invades the market circulation. In fact, Python is well-recognized and widely used now by Big Data business companies. This was chosen by numerous companies because of the reasons below:

  • Simple Coding – Python only involves few lines of different types of codes in comparison to the other types of languages that are available for programming. With this, it can execute programs by using few code lines. Furthermore, it automatically helps to determine and associate several kinds of data. It also follows indentation-based structure nesting. The language can do the processing of extensive tasks within a short period of time. 

Since there’s no limitation on data processing, users can do the data computation using their laptop, cloud, commodity machines, and desktop. In the previous years, Python was known as a slower language compared to some of its competitors, such as Scala and Java. However, the situation was already interchanged now because of its great usefulness to all users. 

Because of the high speed to the language of Anaconda Platform, Python started to become another prominent choice in the business industry. If you want to make use of Python for your business, then it is now time to look for some Python developers who would help you in implementing the benefits of it to your business. 

  • Support for Data Processing – Python features data processing support. So, you can utilize this essential feature in supporting the data process for unconventional and unstructured data. Because of this, numerous big data business companies opt to pick Python since it is one of the prerequisites in having big data. 
  • Speed – Python programming offers great performance levels and high speed. Because of these features, it became a popular language for software development. And since it accelerates the proper coding, Python programming is good for Big Data. Aside from that, it supports prototype ideas that assist in running the code faster. It also maintains transparency on the process and on its code. This programming language helps to make the code transparent and readable. Hence, rendering perfect assistance for the code maintenance. 
  • Offers Library Support – This kind of programming language provides the utilization of different types of libraries. Then, Python started to become prominent in the field of scientific computing. Since Big Data contains numerous procedures on scientific computation and data analysis, both Big Data and Python is recognized as perfect partners. Moreover, it offers a wide range of well-tested libraries for analytics. The libraries have packages like data analysis, visualization, statistical analysis, machine learning, and numerical computation. 
  • Compatible to Hadoop – Hadoop and Python are said to be open-source platforms for big data. Because of this, Python becomes more suitable with Hadoop instead of using other types of programming languages. So, if you have a business industry online, then you may also incorporate the features of Python to your business. To successfully integrate, it would be advisable to hire some expert Python developers from a reputable development company of Python. If you wish to combine the utilization of Python and Hadoop, then you can surely gain a lot of benefits and advantages from it. 


Some of these benefits include:

  • Accessibility to the HDFS API – This combination package can give you access to HDFS API to Hadoop. And this allows you to write applications and programs in Hadoop MapReduce. The accessibility of HDFS API would allow you to write and read some pieces of information on directories, files, or global file structure properties without experiencing any impediments. 
  • Provides MapReduce API – The combination of Hadoop and Python provides MapReduce API in solving some intricate problems containing slight programming efforts. API is utilized in implementing advanced science data concepts such as Record Readers and Counters. Because of this, Python programming started to become the perfect option to be used in Big Data. 
  • Open-source – Python is said to be an open-source language program that is developed and initiated with the aid of a community-based type of model. One of the goods of using Python is that it supports different types of platforms. Moreover, it can be used in different kinds of environments like Linux and Windows. 
  • Scope – Python programming allows the users to simplify the operations of data. Python also supports data structures since it is a kind of language that is object-oriented. Some data structures which Python manages are sets, lists, dictionaries, tuples, and others. Another good thing about Python programming is that it helps to support scientific operations in computations like data frames, operations on the matrices, and many more. These exceptional attributes of Python could help in improving the scope of language, resulting in boosting up the performance level of the data operations. Because of this matter, the combination of Big Data and Python programming becomes a great asset in the business industry.

These are the major benefits and advantages that you can get out of using Python programming instead of using other types of languages in the market. With these reasons that were mentioned above, it is now clear to you that Python is perfect for Big Data. So, if you want to make use of this programming language for good, then you may learn more about Python big query by exploring it online. This would help you to manage big data in your business industry. 



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