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Apache Spark - Quick Recap of Python Essentials
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To build Data Engineering Applications using Spark, one needs to proficient in programming either using Python or Scala/Java. Let us quickly get an overview of the required programming skills using Python.
As part of this session, we will quickly recap essential Python Skills.
* Data Engineering Life Cycle
* Python CLI or Jupyter Notebook
* Basic Programming Constructs
* Developing Functions
* Lambda Functions
* Overview of Collections and Tuples
* Overview of Pandas Data Frames
* Limitations of Pandas
* Development Life Cycle
Here is the complete playlist about Spark for Certifications:
* Lab and Content Support using Slack
As part of this session, we will quickly recap essential Python Skills.
* Data Engineering Life Cycle
* Python CLI or Jupyter Notebook
* Basic Programming Constructs
* Developing Functions
* Lambda Functions
* Overview of Collections and Tuples
* Overview of Pandas Data Frames
* Limitations of Pandas
* Development Life Cycle
Here is the complete playlist about Spark for Certifications:
* Lab and Content Support using Slack
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