Google Colabs vs Jupyter Notebooks - A short Review

Google Colabs vs Jupyter Notebooks

In this post you would able to know 
  • How Google Colabs is different from Jupyter Notebooks ?
  • What are their Advantages ?
  • Which one is preferred ?
The above questions are answered below , and if you need any more details, kindly comment your question in the comment box.

What is Jupyter Notebooks ?

Jupyter Notebooks is an open source python notebook. We may code in this platform and we can use this as a both editor and interpreter. We may use multiple types such as code, text and images. It has its own markdown style. 

And you can work with Jupyter Notebook in offline too there are many features in this notebook. It is easy to share our notebook and it is mostly preferred for its rich text style.

What is Google colabs ?
Colabs is a Python development environment that runs in the browser using Google cloud. Collaboratory is a free Jupyter notebook environment that requires no setup and runs entirely in the cloud. You could not find any difference in the way of style the codeboxes, in notebooks and colabs. But colabs is used on online only. 

This video will better explain about the Google Colabs.

How Colabs is different from Jupyter ?

  • Colabs is used very well because of its cloud management techniques 
  • We are provided with 12 GB ram and 107 GB Disk memory to store the data in Colab
  • But Jupyter depends on your system Ram and its Disk memory
  • So some python libraries like tensor flow (latest version) could not be loaded in Jupyter Notebook (if we have less ram and low disk memory)
  • Colab is connected to the Python3 Google compute Engine Backend
  • Kernel in Jupyter stops and it automatically restart in the above issue due to over burden
  • So think twice to decide the notebook , you are going to work with.

What are the advantages of Google Colabs ?
  • Pre-built with lots of python library 
  • Quick start of Python Learning 
  • No infra setup required 
  • No charges for GPU usage 
  • Can run your code for 24 hours 
  • Your notebooks are saved in google library 
  • Easy to download your Notebook
  • Faster Computation with 8 to 16 GB Ram
Internet connection is not required until if you intended to use internet functions in Jupyter notebook.

Always prefer Google Colabs for Data science and Machine Learning, if your computer have RAM less than 8GB. Some times 8GB RAM is insufficient to run large datasets. So 16GB RAM configuration is the best choice for DS and ML .

This post is part of the Machine Learning Series.


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