In the Power BI/Fabric community everyone is excited about the recent release of Semantic Link: the ability to analyse Power BI data easily using Python in Fabric notebooks.Sandeep Pawar has an ...

The project includes a simple ETL process using Python and SQLite database. This pipeline allows to match reported chargebacks (Excel file) with transactions from the database. ETL is stands for ...

Using the `xl` function, you can load connected data into a Pandas DataFrame, seamlessly combining Excel’s familiar interface with Python’s advanced analytical tools.

Discover ETL with Python and SQL. Extract data from a database, apply transformations from config.json, and reload into MySQL. Extract.py: Pulls data to CSV. Transform.py: Applies config.json ...

Learn how to use an ETL tool to load data from a CSV file into a database. Follow these four steps: choose the right ETL tool, prepare the CSV file, define the ETL workflow, and test and monitor ...

Using Excel’s built-in connectors and Power Query, you can easily bring external data into Python in Excel workflows.” Image Credits: Microsoft Microsoft partnered with data science platform ...

Python and Excel can only really talk to each other through limited functions—xl() and =PY()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.

The ability to convert static Excel spreadsheets into dynamic, interactive web dashboards is a powerful skill. This guide will walk you through the process of using Python, particularly the Taipy ...

Microsoft is integrating Python into its Excel app. A public preview is available for Microsoft 365 subscribers now and all the Python code runs on the Microsoft Cloud.