PySpark Tutorial

Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning.

Apache Spark is written in the Scala programming language. To support Python with Spark, the Apache Spark community released a tool called PySpark. PySpark allows people to work with Resilient Distributed Datasets (RDDs) in Python through a library called Py4j.

💻 Code: https://github.com/krishnaik06/Pyspark-With-Python 

⌨️ (0:00:10) Pyspark Introduction
⌨️ (0:15:25) Pyspark Dataframe Part 1
⌨️ (0:31:35) Pyspark Handling Missing Values
⌨️ (0:45:19) Pyspark Dataframe Part 2
⌨️ (0:52:44) Pyspark Groupby And Aggregate Functions
⌨️ (1:02:58) Pyspark Mlib And Installation And Implementation
⌨️ (1:12:46) Introduction To Databricks
⌨️ (1:24:65) Implementing Linear Regression using Databricks in Single Clusters

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PySpark for Data Processing and Machine Learning
2.00 GEEK