How to read parquet file in pyspark databricks | spark.read.parquet example | convert parquet to df

This video is a pyspark tutorial for data engineers in Hindi on how to read parquet files into a dataframe using pyspark. This video is Pyspark tutorial for beginners that covers this topic in detail with an example on spark.read.parquet
Asking you to read a parquet file in pyspark dataframe can be a pyspark scenario based interview questions for beginners in data engineering.
Converting different types of files into dataframe very common practice that every engineer needs in his day to day data related work. Moreover parquet files are easy to use, they are less space consuming, easy to deal with, secure and columnar storage files. So parquets are widely used and it is a choice of most of the data engineers due to its flexible nature.
This tutorial on read parquet in pyspark is created and the command have been run on Google colab notebook. However those command are cross platform. Feel free to convert a parquet file into a spark dataframe using same pyspark code on any platform or python notebook like databricks, jupyter notebook, jupyter lab or Google colab.
Thought I am running my code on Google colab notebook as it a browser based easy to use, free platform but you can use azure databricks as well. Pyspark tutorial in Hindi helps you to understand concepts in your language, hence I've made it in Hindi language.