PySpark is the Python API for Apache Spark, a powerful open-source framework designed for distributed computing and processing large datasets. By combining the scalability and performance of Spark with Python’s simplicity, PySpark has become an essential tool for data engineers and data scientists working with big data.
Below is a list of all the PySpark-related content I’ve published so far on my website:
- PySpark | How to setup PySpark on a Windows Machine?
- PySpark | How to Create a Spark Session?
- PySpark | How to Create a RDD?
- PySpark | How to Create a Dataframe?
- PySpark | How to Add a New Column in a Dataframe?
- PySpark | How to Rename Column in a Dataframe?
- PySpark | How to Filter Data in DataFrame?
- PySpark | How to Sort a Dataframe?
- PySpark | How to remove duplicates from Dataframe?
- PySpark | How to Handle Nulls in DataFrame?
I’ll be updating this page as I continue to add more content, so feel free to bookmark it and check back for the latest updates.
Cheat Sheets: PySpark
Spark Interview Q & A: Spark
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