The installation process of python will have two parts: Time to get our hands dirty and install python. So far, we have seen a bit of Python’s history, its applications, and its popularity in today’s world, but now comes the part that we all have been waiting for. Python has a whole host of libraries, frameworks, and tools, which means whatever we want to do, it’s more likely that someone else might have already done it before as the language has been around for over 20 years. As more companies use Python, the more resources there are for it. Large Ecosystem: This is called the snowball effect. Huge Community: Python has a large community, so whenever we get stuck, there is always someone out there to help.ĥ.

Cross-Platform: It is a cross-platform language which means we can build and run Python applications on Windows, Mac, and Linux.Ĥ. High-Level Language: Python is a high-level language, so we do not have to worry about complex tasks such as memory management, as you do in C++.ģ. Let’s say, for example, we want to extract the first three letters of the text “Hello World” stored in variable ‘str’īelow is how we would write in different languages:Īs we can see, python is short and clean to use.Ģ. Fewer Lines of Code: Python can solve complex problems in less time and with fewer lines of code. Now, questions could be raised that these above activities could be done with other languages as well.

Python is used to build web, mobile, and desktop applications as well as software testing and even hacking which further justifies its multi-purpose functionality.

All of these activities, however, could be automated using Python as well.

Most companies have to work continuously with Excel spreadsheets, PDFs, CSV files, download websites, and parse them.

Python could be used to automate those tasks like copying files and folders around, renaming them, uploading them to the servers, etc. It often creates resource and budget constraints for companies who propose to automate the process to ensure the fluidity of the business. A lot of the time, we do kinds of stuff that are repetitive and boring.This is one of the significant uses of Python amongst people who are not software developers. People from various disciplines use Python to perform multiple tasks like Data Analysis, Data Visualization, Artificial Intelligence, Machine Learning, and Automation.Given below shows why one should learn python: Web development, programming languages, Software testing & others Why should One Learn Python? Start Your Free Software Development Course

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