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Search:
  • Home
  • Lakehouse
    • Lakehouse Introduction
    • Tutorial: How to use Python in Fabric for Data Engineers
    • Python Introduction Microsoft Fabric
    • Python Syntax
      • String Expressions
      • Number Expressions
      • DataTime Expressions
      • Logical Expressions
      • List Expressions
      • Loops
      • Dictionary Expressions
      • JSON Expressions
    • Modular programming
      • Notebooks Introduction
      • Install Public Python Packages in Fabric
      • Pass Parameters from one Notebook to another
    • Pandas
      • Pandas + NumPy Introduction
      • Dataframe Basics
      • Import Local CSV File
      • Import ADLSGen2 CSV File
      • Import OneLake CSV File
      • Import Excel File from OneLake / SharePoint
    • PySpark
      • Spark Introduction
      • DataFrame Basics
      • Import CSV and Parquet Files into DataFrame
    • Call REST API’s
      • Call ODATA REST API
      • Get Secret from Azure Key Vault
  • Dataflows
    • Dataflows Introduction
    • “M” Language Introduction
    • M Syntax
      • Text Expressions
      • Number Expressions
      • DateTime Expressions
      • Logical Expressions
    • REST API’s
      • Calling Web API’s Introduction
      • Call Web APIs like a pro in Power Query
  • Semantic Model
    • Advanced Dimensional Modelling
  • About

August 14, 2024

How to use Python in Fabric for Data Engineers

UncategorizedBy Arthur GrausAugust 14, 2024Leave a comment

The world of data engineering is changing. Being fluent in T-SQL is not enough anymore. Whether you want to implement a Delta Lake using Data Bricks, use Jupyter Notebooks to analyse your data or built a ETL pipeline in Microsoft Fabric, Python is the new kid on the block. In this demo filled video I…

Import CSV and Parquet Files into PySpark Dataframe

UncategorizedBy Arthur GrausAugust 14, 2024Leave a comment

– Import CSV File Import Parquet File

Install Public Python Packages in Fabric

Lakehouse, Modular Programming, PythonBy Arthur GrausAugust 14, 2024Leave a comment

When writing Python code in notebooks there are a lots of packages that can be really useful to select and transform data like Pandas and PySpark. In this article you will learn how to get an overview of all the preinstalled packages and how to install new public packages from PyPi. PyPi PyPI, the Python…

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