Python IDLE vs. Siemens Totally Integrated Automation (TIA) Portal

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

Well suited: It is a software that allows to simulate PID controllers is a valuable educational resource. Users can learn how PID controllers maintain the desired value of a process variable, such as temperature, pressure, or flow, by adjusting system inputs in simulation. It is a program that allows to simulate electro-pneumatic systems can be extremely useful to understand the integration of electronic components with pneumatic actuators, valves, and other elements in automated control systems. Less appropiate: The software appears to be resource intensive in terms of storage and execution. This means that it requires a significant amount of hard disk space and good processing power to run efficiently. On computers with limited or older hardware, the software may run slowly or not be able to execute all of its functions. This is an important limitation for users with limited access to high specification equipment.

Incentivized

• 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.

Incentivized

• scada system simulation
• Allows the simulation of HMI screens
• integrates the necessary software to simulate PLC's and link them with HMI screens.
• It is useful when handling Grafcet.
• Easy to program in function blocks FBD.

Incentivized

• 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)

Incentivized

• Amount of resources it takes up on the hard drive
• excessive consumption of execution resources (RAM, GPU)
• some licensing problems that are sometimes not recognized
• the existing saturation of icons on the main programming screen

Incentivized

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.

Incentivized

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.

Incentivized

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

Incentivized

• 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.

Incentivized

• accelerated learning curve
• very intuitive visual interfaces
• allows the user to get familiar with the programming environment easily

Incentivized