Python
PythonAutomation and connections

Automate repetitive work with Python

Python can process files, perform calculations, and retrieve data from systems. This is useful for work that follows the same steps over and over again.

How does it work in practice?

A script should also report when something fails. That is why we include checks on input, recognizable error messages and logs. Where necessary, an assessment will take place before the data is processed further.

  • Merge and monitor data from connected systems
  • Read APIs and convert data
  • Schedule recurring tasks and record the outcome

An example from our practice

PDF and Excel

De Valk Advies

De Valk Advies

Read budget PDFs, check recognized lines and export them to Excel.

View De Valk Advies

Immerse yourself further

  • Automate Excel work

    A lot of repetitive work starts or ends in Excel. Files can be automatically merged, checked and prepared for further processing.

  • REST API links

    Many enterprise software offers a REST API to retrieve or update data. This allows existing systems to be connected to each other in a targeted manner.

  • Logging and monitoring

    If an automatic task does not run, you want to know why. Logging records events; monitoring makes the status of tasks visible.

Back to work automation →All topics →

A question about your situation?

Tell us what you want to have made or what work currently takes a lot of time.

Please contact us
Image sources

Power BI and Excel icons from Microsoft · CC BY 4.0, unchanged. Python logo of the Python Software Foundation, unchanged.

Our approach

What you can expect from OptiCore.