Is Python Good for Business Analysts?

Python is a high-level, general-purpose programming language that features dynamic semantics. Its object-oriented approach and language construction greatly help programmers with clear coding for all-scale projects!

It is undoubtedly one of the most used programming languages for web development, data science, business analytics, and much more! All in all, it is an all-rounder programming language!

Yes, you can also use this high-level language in business analytics due to its ease of understanding. Its commands are similar to the English language! Python has a greater and growing ecosystem with a plethora of open-source packages! And industries like finance, technology, healthcare, and others have embraced this application for its usefulness.


There are several advantages of using this application, such as –

#1 Usability and Readability 

All in all, Python is very straightforward compared to other programming languages. What makes it so useful is that even after being a high-level language, all its syntax is in the English language. 

That is why it is so easy to learn and understand. Also, you will need to type shorter codes to run a task. One can learn it pretty easily, and all its principles are executed way faster than C or Java!

Not just this, you can run it on any device no matter which Operating System you use, whether it is Linus, Mac, or even Windows, it hardly matters!

#2 Massive Library 

Another advantage of using Python is that it comes with a massive library. Yes, a user is likely to get every function no matter which task he is willing to perform. It is specifically because of its corporate sponsorship and its overly supportive community. 

#3 Enhanced productivity 

Honestly, one does not need to spend irregular hours understanding the syntax working right. Other programming languages certainly require more time to get the concept right, and one cannot perform a task with efficacy until one masters it. 

The greatest advantage of using Python is that it takes very less time for one to understand it right. One can easily complete several tasks over a short while. Python brings greater productivity and is very simple to use.

#4 Object-Oriented

Another notable advantage of this programming language is that it supports object-oriented and procedural programming archetypes. 

On the one hand, functions help a user with code reusability, and objects and classes help the user model the real world on the other!

#5 Open-Source and Free

Python is among the best OSS software! Yes, you can download it for absolutely free! Not just that, you can also download its source code and distribute it if you wish!

Python also downloads a determined set of libraries that greatly helps you with your tasks. 

#6 Embeddable and IoT Opportunities

Python is not only extensible but also embeddable. Yes, you can use the Python code in the source code of any other programming language such as C++. 

Not just this, Python also gives you IoT opportunities. Python forms the base or the primary language for newly introduced platforms such as Raspberry Pi. 

#7 Very Flexible 

Python is known for its flexibility and allows you to try out numerous things yourself. One can develop a new application with the help of this language. 

Unlike any other language, it does not keep you from trying new things. And not all programming languages provide such freedom and flexibility. That is why Python is preferable in these terms.  

#8 Portability

You cannot run programming languages like C on other platforms until you edit it and use the syntax of that particular platform. 

Well, this does not apply to Python! All you have to do is write your codes only once and run them anywhere you like! 

Python uses the WORA (Write Once Run Anywhere) feature, which is one of the reasons that makes it so special. 


Even after being the all-rounder programming language, it still has some disadvantages! They are –

#1 Speed

Speed is necessary when it comes to programming languages! The faster it processes the codes, the better it is. Now, Python is very reliable and better than Java or C++, but what it lacks is speed. Yes, Python is relatively slower. 

It is a dynamic type of interpreted language. When it executes a code, every line of the code must be in order as it also interprets the language. Interpreting line by line is a lengthy process and slows the running process. The speed is also affected by Python’s dynamic structure as well. 

#2 Runtime Error

In Python, you need dramatic typing. So, there is no need to determine the variable while you code. Also, users have reported that they have found issues with the language design of Python. 

Also, the data type can change at any time. You need to get it tested more often. 

#3 Mobile Development 

This programming language is incredibly strong for desktops and server platforms. And it is not appropriate for mobile development. 

When it comes to mobile development, it is a friable language. And that is why no one ever implements Python on mobile-based applications. It is not efficient when it comes to memory and also has way-too-long processing power! Hence, one can never use Python used for mobile applications. 

#4 Simplicity

Yes, Python is very much straightforward to use. Now, this can be an issue for many users. 

As a user of Python, one needs to get accustomed to using it. For instance, Python’s shorter code, easy syntax, and greater than ever library are the reasons. Now the problem arises when the user works on a different platform.

Many Java users feel that Java has a complex verbosity that is unnecessary.


Python is a very popular high-level programming language that one can use for several purposes, such as –

Web Development  

One can use this programming to improve the back end of any application or website. The primary developments include transferring data to servers, processing data, interacting with databases, ensuring security, and URL routing. 

Testing and Prototyping Software

Python can help you immensely with tasks like building control, tracking bugs, and testing it when it comes to software development. Not only that, Python is used by developers in automating the testing process for products. 

Machine Learning and Data Analysis

Python is a must for data science. Python helps professionals and data analysts conduct statistical computations, design data visualizations, design algorithms, analyze data, and complete their tasks. 

Python can help data analysts identify data, collect the data, clean the data, prepare the data for analysis, analyze the data, and finally interpret the results of the analysis. 

Not just this, one can use it in making 3D plots, histograms, charts, and graphs. It helps coders to design programs specifically for machine learning and data analysis. 

It also gives you advanced modeling that can help you with price forecasting with the help of econometrical models, segmentation of clustered algorithms, classification of products, and estimating product price elasticity.  


One can also use Python for scripting. Coding for automating a set of processes is known as scripting. Developers use scripting when they have to do the same thing several times. 

This automation can check for errors, convert files, execute mathematics, and remove duplicate data. 

Scripting can help you with repeating analysis, web scraping, and handling errors.    

You can also use Python for completing your everyday tasks, such as –

  • Tracking the stock market and crypto prices
  • Sending yourself reminders
  • It helps you in updating your shopping lists
  • Renaming bulk files
  • It helps you convert files into spreadsheets
  • Automates filling of forms online


So, do you think Python will be a good choice for business analysts? Now that you have read this article here, I am sure that you are aware of the benefits you will get if you choose Python.  

Python brings loads of benefits for business analysts. What makes Python essential to business analysts is its readability and its ease of learning. Backed up by huge community support, you are less likely to spend hours fixing it. 

Also, you can work faster with Python and save both time and money for you and your company!

Also, using Python will give you better results and improved flexibility. Embrace this platform and join the community now!