From 993c0d1964922a66d200968d4221d7bb177b4815 Mon Sep 17 00:00:00 2001 From: Jacob Celestine Date: Fri, 12 Nov 2021 16:01:06 -0500 Subject: [PATCH] Restructured folder --- ...lab and PySpark.ipynb => Colab and PySpark.ipynb | 0 README.md | 13 ++++++++++--- pyspark/README.md | 10 ---------- 3 files changed, 10 insertions(+), 13 deletions(-) rename pyspark/Colab and PySpark.ipynb => Colab and PySpark.ipynb (100%) delete mode 100644 pyspark/README.md diff --git a/pyspark/Colab and PySpark.ipynb b/Colab and PySpark.ipynb similarity index 100% rename from pyspark/Colab and PySpark.ipynb rename to Colab and PySpark.ipynb diff --git a/README.md b/README.md index 1205c10..d040b68 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,10 @@ -# knowledge-repo -A repository for me to keep the things i've learned and share it with others.
-You can find these under 'works' section on my [webiste](https://jacobcelestine.com/). +Everything PySpark. + +### Colab and PySpark.ipynb + +Once you complete this notebook, you should be able to write pyspark programs in an efficent way. The ideal way to use this is by going through the examples given and then trying them on Colab. At the end there are a few hands on questions which you can use to evaluate yourself. The objective of the notebook is to: + +- Give a proper understanding about the different PySpark functions available. +- A short introduction to Google Colab, as that is the platform on which this notebook is written on. + +> I have made an html version of the same, which you can easily access [here](https://jacobcelestine.com/knowledge_repo/colab_and_pyspark/). diff --git a/pyspark/README.md b/pyspark/README.md deleted file mode 100644 index d040b68..0000000 --- a/pyspark/README.md +++ /dev/null @@ -1,10 +0,0 @@ -Everything PySpark. - -### Colab and PySpark.ipynb - -Once you complete this notebook, you should be able to write pyspark programs in an efficent way. The ideal way to use this is by going through the examples given and then trying them on Colab. At the end there are a few hands on questions which you can use to evaluate yourself. The objective of the notebook is to: - -- Give a proper understanding about the different PySpark functions available. -- A short introduction to Google Colab, as that is the platform on which this notebook is written on. - -> I have made an html version of the same, which you can easily access [here](https://jacobcelestine.com/knowledge_repo/colab_and_pyspark/).