Microsoft Power Automate vs. Python IDLE

If you are in a team that needs to develop automated solutions but have no coding experience and no access to a developer, Power Automate is one of the best places to start. It is incredibly flexible and likely has triggers and actions that can connect with your platforms, especially if you use the Microsoft stack. Additionally, using webhooks, you can connect to many different endpoints to get systems working together.

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Scenarios where python IDLE is well suited 1-Quick scripting and prototyping 2-Education and training 3-small projects utilities 4-exploring python libraries and modules Scenarios where python is less appropriate 1 large scale projects 2 complex debugging and profiling 3 multi language development 4 Advanced code analysis and inspection

• Sending confirmation email to clients and user once the flow is triggered.
• Fetching or Dumping files from one location to another if the flow is triggered.
• Schedule flow helps to send alerts and triggers the flow at a specific interval of time to carry out the required task.
• Power Automate also be used to convert any file format to a specific file format and save it to the required location

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• Firstly, I would say Python IDLE interface is user friendly.
• Easy to learn for the beginners.
• Syntax highlighting is nice features.
• Smart indent helps a lot.

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• I REALLY wish I could just drop in a block of python or PowerShell code sometimes. The visual low-code things are great for moving around data but sometimes it would be faster if I could just tap out some code.
• The DOM (Document Object Model) is not entirely apparent and takes a lot of trial and error, and sometimes it's even different between different connectors. I would love to be able to just see the path to access some specific variables from earlier processes.

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• Too simplistic
• Could not find source revision management integration support
• Only basic debugging is available
• Does not have data-science-specific notebooks (but can be installed separately)

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The tool is very useful when used with its various native connectors, taking great advantage of the integration between the components and systems of the Office365 universe. However, its cost is still high, and automation using more advanced components containing AI resources becomes unfeasible for some companies. Due to the financial crisis that many companies are currently experiencing, investment in automation systems or tools is taking a back seat.

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Power Automate features a clean and intuitive user interface that allows users to create, manage, and monitor workflows easily. The UI is designed to be accessible to both technical and non-technical users, with drag-and-drop functionality for building workflows. Power Automate supports integration with a wide range of Microsoft and third-party applications. This flexibility in integration allows users to automate workflows across various systems, enhancing overall productivity and efficiency.

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The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.

This IDE allows you to configure the environment, font, size, colors, .....

It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.

Once the IDE is executed you can start programming directly in it.

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both Community support and Microsoft official support typically respond to (and resolve) reported issues in a VERY expedient manner, usually going above and beyond for education and bugfixing. I have been thoroughly impressed with the level of support I had been provided in the past.

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Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.

In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.

As this IDE is made in Python, the support is the same group of Python developers.

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after reviewing the main features of Power Automate, the Microsoft trainer focused on some of our real life use cases implementation, from simple to more advanced.

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although it was productive, it is more difficult to stay focused and in a 7 hours a day online training (including screen share issues and the fact that the trainer just can't precisely show the exact location of your mistake)

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I was part of the migration of classic SharePoint workflows and Nintex workflows. We didn't spend much time learning the new platform because of its user-friendly interface and intuitive drag-and-drop functionality. We have mostly O365 E1 and E3 licensed users, so they can participate in our Citizen Development program and utilize Power Automate to build day-to-day business processes.

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I have many years of experience with Nintex applications and it stands up very well against Microsoft Power Automate. I hope Microsoft Power Automate can become the better workflow application. With the Integrated AI builder and continuous updates I expect they can become the better one in a few years.

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It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run Jupyter Notebook on my cloud desktop

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I have not done any participations

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Microsoft's professional services provide hands-on support throughout the implementation lifecycle of Power Automate.This includes initial setup, configuration, integration with existing systems, testing, and deployment. They ensure that workflows are correctly designed, optimized for performance, and aligned with security best practices.

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• It has encouraged everyday users to get a feel for low code no code without the detailed technical programmings skills
• This has encouraged the use of Power Automate to replace what was once an excel filled with complex macros and VBA!
• It has significantly saved time for someone like myself from chasing people for information and now I can create an auto alert using PA

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• In a short time, we were able to develop several ML models for various teams to make accurate decisions.
• Beginners can easily understand and adapt to GUI.
• We could automate several manual validation tasks and so could reduce human intervention.

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