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2 changes: 1 addition & 1 deletion README.md
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<p align='center'>
<img src="https://raw.githubusercontent.com/tirthajyoti/PySpark_Basics/master/Images/Spark%20ecosystem.png" width="400" height="400">
</p>
Spark is implemented on <a href="https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html">Hadoop/HDFS</a> and written mostly in <a href="https://www.scala-lang.org/">Scala</a>, a functional programming language, similar to Java. In fact, Scala needs the latest Java installation on your system and runs on JVM. However, for most of the beginners, Scala is not a language that they learn first to venture into the world of data science. Fortunately, Spark provides a wonderful Python integration, called <b>PySpark, which lets Python programmers to interface with the Spark framework and learn how to manipulate data at scale and work with objects and algorithms over a distributed file system.</b>
Spark is implemented on <a href="https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html">Hadoop/HDFS</a> and written mostly in <a href="https://www.scala-lang.org/">Scala</a>, a functional programming language, similar to <a href="https://www.scaler.com/topics/java/">Java</a>. In fact, Scala needs the latest Java installation on your system and runs on JVM. However, for most of the beginners, Scala is not a language that they learn first to venture into the world of data science. Fortunately, Spark provides a wonderful Python integration, called <b>PySpark, which lets Python programmers to interface with the Spark framework and learn how to manipulate data at scale and work with objects and algorithms over a distributed file system.</b>

## Notebooks
### RDD and basics
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