Publishing new Python Library for JSON & NoSQL

Posted on by SatyakiDe in api, Azure, Data Science, function, json, member function, numpy, Pandas, partition, pattern matching, Python, regexp_replace, regexp_substr, regular expression, replace, select, snippet, String Manipulation, Technology

Hi Guys!

As discussed,

Please find the link of the PyPI package of new enhanced JSON library on Python. This is particularly very useful as I’ve accommodated the following features into it.

  1. distinct
  2. nvl
  3. partition_by
  4. regex_like
  5. regex_replace
  6. regex_substr

All these functions can be used over JSON payload through python. I’ll discuss this in details in my next blog post.

However, I would like to suggest this library that will be handy for NoSQL databases like Cosmos DB. Now, you can quickly implement many of these features such as distinct, partitioning & regular expressions with less effort.

Please find the library URL.

Let me know your feedback on the same.

N.B.: I’ve tested this library both on Windows 10 & Ubuntu 18. And, the python version that I’ve used are Python3.6 & Python3.7.

Till then!

Happy Avenging!

Published by SatyakiDe

I love to follow all the latest tech shows or technological programs, space science across the world, and so on. Love to watch Suspense thrillers and wants to have spicy food. That's a slice of me. :)