Directory structure of the Python code we want to run is below:. In this case if you think you can do importlib. This is called relative import, and the way you do it is by using a relative name with anchor explicit. Runpy module locates and executes a Python script without importing it. We are going to take a look at exec function to execute Python scripts dynamically. In Python 2, exec function was actually a statement. However, using exec should be a last resort. As it is slow and unpredictable, try to see if there are any other better alternatives available.
However, note that you do not control the virtual environment like how you typically would from a command line interface execution. When it comes to executing scripts from an IDE, you can not only run your Python code, but also debug it and select the Python environment you would like to run it on. What if there was a way to run a Python script just by double clicking on it?
You can actually do that by creating executable files of your code. For example, in the case of Windows OS, you can simply create a. Over 15 hours of video content with guided instruction for beginners.
As an example, we can find the log for the scheduled task we manually started, shown in Figure It is not convenient to view logs in this way. Therefore, the following section creates custom event views to exclude all uninterested logs and only show specific information. Custom Views allow us to view the messages that interest us Buckell, In this case, we do not need to find these specific logs from all logs in the "Operational" list.
Select "Custom Views" on the left pane. Then, on the "Actions" pane, click on the "Create Custom View…" button. A dialog should appear, as shown in Figure Switch to the "XML" tab and select "Edit query manually. Click on the "Yes" button to continue. We copy the first query in Section 1.
When using XML filtering, we can use custom views to drill through event logs and only display the information we need Pyle, Click on the "OK" button to secure changes, and a new dialog shows up to ask for more information about this custom view.
We enter the text "failed to access web page" as the name of this view and click on the "New Folder" button. Click on the "OK" button to save the folder name. Next, we select the new custom view to show the logs of interest, as shown in Figure Figure 32 View "failed to access web page" Logs in the Custom View. We repeat the steps to create another custom view "failed to save data.
After we create two custom views, the "Event Viewer" window should look like Figure Figure 33 View "failed to save data" Logs in the Custom View. We created a basic task that has a time-based trigger. The task runs the Python script at PM every day. The Python script always throws one exception at run-time for testing purposes.
We manually started the task during the development phase. We viewed the Python script execution status through the task history tab in the task scheduler and custom views in the event viewer. To ensure the solution works on the production server, we log out of the development machine and let the task scheduler run the Python script.
After the task scheduler has executed the script several times, we log into the development machine to check the execution logs. We launch Windows Task Scheduler by following the steps in Section 1. We then select the "failed to access web page" task. Subsequently, click on the "History" button to open the history tab, shown in Figure We find errors that occurred at PM on These errors indicate that the Python script failed to access the web page at the scheduled time.
Through this approach, we immediately know the Python script execution status. We can then report the errors to the technical support team. Figure 34 View History Data of the "failed to access web page" Task.
Next, we select the "failed to save data" task. Click on the "History" button again to open the history tab, shown in Figure The errors indicate that the Python script failed to save data on and It is worth noting that the errors are not caused by the Python script execution directly. The message in the general tab does not help fix the issue.
Instead, to troubleshoot the errors, we should rely on the logs written by the Python scripts. Figure 35 View History Data of the "failed to save data" Task. To do this, we first launch the event viewer by following the steps in Section 2. Selecting the first view "failed to access web page," we can see a list of events, as shown in Figure The view displays all events that have returned code 1 from the Python script execution.
Therefore, all events in this view imply the failure in this user-defined function. For example, we can observe a failure that occurred at PM on Figure 36 The "failed to access web page" Custom View. Selecting the second view "failed to save data" to open another custom view, as shown in Figure All these events have returned code 2 from the Python script execution.
Therefore, all events in this view imply failure in this user-defined function. For example, we can observe a failure that occurred at PM on and Figure 37 The "failed to save data " Custom View. Since Python is easy to learn and read, many IT professionals use Python to perform routine jobs. Windows Task Scheduler is a tool that can execute a program at a pre-defined time. In addition, Windows Event Viewer can show detailed information about significant events on a Windows system.
These tools enable us to automate Python scripts to perform routine tasks and examine execution status. This article introduced running a Python script through the Windows Task Scheduler and viewing the Python script execution history through Windows Event Viewer.
We started with a gentle introduction to creating an automated task in Windows Task Scheduler. We then created two event-based tasks that run when the automated task has a return code, either 1 or 2. Subsequently, we manually ran the automated task and examined the Python script execution status through the two event-based tasks.
Next, we created two custom views in Windows Event Viewer. Then, we used these two custom views to view the Python script execution status. Finally, we let the Task Scheduler run the Python script automatically. We then viewed the Python script execution status through the task history tab in Window Task Scheduler and custom views in Windows Task Viewer.
Buckell, F. Dinita, M. How to schedule tasks in Windows Hoffman, C. Huculak, M. It gives you the freedom to save your entire script in a python format, then run it on the python shell. But how? Launch the IDLE editor. It should be available under the All Programs section in windows. After double-clicking on it, a python shell should appear as shown in the picture below.
Simultaneously pressing the CTRL and N keys will also open an untitled and empty document editor as illustrated below. Write or paste your program on this editor window. If you have already saved yours, please jump to step 5. Make sure that the script is saved in a location that you can remember. You should get something like this after saving. The top section should show you where the document has been saved. Launch a command window then navigate to the location where you have stored your file.
In my case, I am going to type the following command. I also have the alternative of using windows explorer to get my script. Press the shift button and right click to launch the open command window. You can then go ahead and open the folder containing the script.
This will depend on the way you have saved your script. In my case, I will have,. Instead of following the whole process from the first to the last step, everything can be completed in step 3.
On this Step, the script can be directly saved by pressing F5 on the editor, then it will run the program itself. When using the live interpreter to run a python script, it is important to understand that understand that every command is read and integrated in real time. For instance, calculations will be solved immediately while loops will iterate immediately unless they are part of a function.
For this reason, you have to be mentally prepared to use it. The python shell is popular with people who like executing their code interactively. However, if you want to use it to run your scripts, you have to call the Python executable or import it. Like this post?
Rate it:. Share It:. Using the interactive python shell or Calling the interpreter using a shebang line. Under which environments can I run a python script? How to run a python script on command line Python is one of the simplest and most executable programming languages used by greenhorns as they make baby steps into the world of coding.
But how do you navigate the interpreter on the command prompt so that it can process your script? Bad command or filename double check if your computer knows where to find the interpreter.
Once you have verified that the How to run a python script on Windows First and foremost, create a folder where you are going to be storing your python scripts. It has to be saved in a format that windows can understand that it is a python file. After the folder is ready, go ahead and save your script in it. For example, hello.
0コメント