PySpark is the interface that gives access to Spark using the Python programming language. PySpark is an API developed in python for spark programming and writing spark applications in Python style, although the underlying execution model is the same for all the API languages. Colab by Google is based on Jupyter Notebook which is an incredibly powerful tool that leverages google docs features. Since it runs on google server, we don't need to install anything in our system locally, be it Spark or deep learning model. In this video, I'll show you how you can create PySpark DataFrames with PySpark in Google Colab. Link to the notebook - https://github.com/bhattbhavesh91/Pys... If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Be sure to subscribe for future videos & thank you all for watching. You can find me on: GitHub - https://github.com/bhattbhavesh91 Medium - https://medium.com/@bhattbhavesh91 #PySpark #GoogleColab #python #deeplearning #datascience #youtube
PySpark in Google Colab - YouTube |
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| Education | Upload TimePublished on 31 Mar 2019 |
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