Why Python is best suited for Process Automation?
How Python is ruling Process Automation and helps Production support engineers in automating critical and time-consuming tasks!

Nowadays, you should have probably heard the word Python in the Tech world too often. With the technology evolving day by day, we are moving towards Artificial Intelligence, Machine learning, and Data Science. When you want to learn these technologies faster, you need a stronger base in any of the programming languages. As learning these technologies itself time consuming, you don’t want to spend more time learning programming languages.
In this scenario, Python is the primary choice for most people. But wait, let’s not going to talk about these latest technologies. Instead, let’s discuss one common problem that the tech industry facing for a long time – Spending time on manual, repetitive tasks!

There are multiple areas where human efforts are needed the most while working in production environments like validation, maintenance, alerts, and monitoring. There are multiple tools available in the market to handle these problems. But, what if the problem you are going to handle is not so common? Most probably you won’t find an all-in-one solution with these tools. Yes, the ready-made tools will equip the options you need but most probably not while you are struggling!
While working in production environments, it’s important to complete tasks, identify the problems, and solve them on time is crucial to provide a better experience to the customers. The best solution to handle all these is to automate the workflow, enable alerts on time, validate all the records in some sort of automatic way.
Let’s take an example – Imagine, a person has to analyze the data from Excel and compare whether it’s updated correctly in the application. If it's updated correctly, send out an email to the customer and if not, create a ticket, assign it to the relevant team and notify the technical team to have a look as soon as possible.

When this is done manually, there are chances to miss any record, need huge manpower if it has to be done for thousands of records, Creating the ticket with correct information / assign it to correct technical group might consume some time too.
Yes, there may be a few records that might need human intervention too. In such a case, separate the workflow and automate the one which doesn’t need any intervention. Let your team check only those unique records!
Now, Coming to the point – Why Python?
Python solves most of these problems such as alerting when something goes wrong, monitor the existing system and notify if something happened out of the book, validate the thousands of insertions in the database daily and take away the burden of doing boring & repetitive tasks from your people! This is achievable in Python with few lines of code! You can handle a series of tasks effectively and precisely.
Since Python contains many built-in and 3rd party libraries, it allows you to use it for broader areas and cover most of the real use cases. The syntax is simple and readable. The scripts can be scaled up for complex use cases. It is easy to learn by anyone within a short span of time.

This allows you to upskill your employees/teammates rapidly and focus on solving the real problem instead of spending time in training. More importantly, you are never alone – There is a community to help, guide you if you are stuck in the middle. Integration with other tools is super easy when compared with other programming languages.
The conclusion – Python is best suited for Process Automation in production environments! Most of the tech giants including Google are using Python as a primary language to automate the workflows.
Cheers! Thank you!!



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