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MAKING A PYTHON EXECUTABLE FOR MAC ON A WINDOWS HOW TO
MAKING A PYTHON EXECUTABLE FOR MAC ON A WINDOWS CODE
MAKING A PYTHON EXECUTABLE FOR MAC ON A WINDOWS WINDOWS

To create a cronjob, we must open the terminal and execute the following command: crontab -e In this case, we will automate our Python script using a cronjob.

MAKING A PYTHON EXECUTABLE FOR MAC ON A WINDOWS WINDOWS

Let’s get to it! Automate Python script on MacĪutomating our Python script on Mac is easier than doing it on Windows (in my opinion), although it should be done by console.

MAKING A PYTHON EXECUTABLE FOR MAC ON A WINDOWS HOW TO

Now that we’ve seen how to automate our Python script on Windows, let’s see how to automate our Python script, but this time on Mac. Once we have configured this screen, we can click “OK” and that’s it, our automated Python script on Windows! In my case, I have saved the script to automate in a folder called “Auomations”. Otherwise, it could be the case that you rename the folder or move it to another location, causing the automation to break. If you don’t know in which folder you have Python, you can check it with the following code: import sysprint(sys.executable) C:\Users\Ander\anaconda3\python.exeĪ personal recommendation is that you save all the scripts that you want to automate in a folder that you are not going to move. To create this file we are simply have to create a text file with the following structure:

Automate the execution of our bat file with Task Scheduler.Ĭreate a bat file that executes our Python fileĪ bat file is a type of DOS file used to execute command lines in the Windows console (Windows Prompt).

Create a bat file that executes our file in Python.

To automate a Python script on Windows, we have to follow two steps:

MAKING A PYTHON EXECUTABLE FOR MAC ON A WINDOWS CODE

So, once we have our code and it meets the requirements to automate it, let’s see how to automate our Python script on Windows and Mac! Automate Python script on Windows With these two small changes, we would make our code much better and we would have much fewer problems once it is automated.

Extracting data from the API from that date to the current date.

Reading the last data date in the database.

Therefore, I think it is good practice that our code is resilient to failures. However, since it is a local automation, it must be taken into account that our automation may fail one day. User = "XXXXXXXXXXXXXX"pasw = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"Įngine = create_engine('postgres://XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX')ĭf.to_sql('flights', engine,if_exists='append')Īs we can see, this script is self-executing. The Python script that we are going to automate on both Windows and Mac is the following: import requestsĬolumns = This is usually a typical case when access to the API is limited and we want to have access to our historical data, for example. Basically, the script (1) extracts the position data of the airplanes in circulation from an API and (2) uploads that data to a database that I have mounted on Heroku. In this case, as an example, I will automate a very simple script for an ETL process. That is, if we run the script from beginning to end (1) it will not return errors or it will be able to handle them and (2) it will generate the result that interests us. The first thing we will need to automate our Python script (whether on Windows or Mac) is to have a Python script that is 100% autonomous. Let’s do it! de apostar en Inkabet Perú Requirements for automating a Python script on Windows and Mac That is why today we are going to learn how to automate our Python scripts locally, on Windows and Mac.

In those cases, it is enough to automate our Python scripts locally. However, many times we don’t need the automation to be perfect. For complex things, I would always recommend automating scripts in the cloud, as we saw in this post on how to automate a Python script on Google Cloud.

Automating our Python scripts is vital in order to get the most out of them.