Google Colab<\/a> which is the mighty Google\u2019s version of a notebook platform.<\/p>\n\n\n\nIn this section, I\u2019ll discuss some pros and cons if you\u2019re choosing between the three platforms.<\/p>\n\n\n\n
To get started with Jupyter notebooks, you usually need to install the Python notebook package on your local machine or server. This isn\u2019t difficult for Python developers. But it may be a little daunting for data scientists without a programming background.<\/p>\n\n\n\n
The advantage of both Databricks and Google Colab is that the environment is provided and serviced for you. You just need an account on the platform.<\/p>\n\n\n\n
So, let\u2019s talk about accounts. For Colab, all you need is a free Google account (e.g. a Gmail account) to run code and visualizations.<\/p>\n\n\n\n
Google largely provide their platform as a free service. Jupyter is also free. In contrast, Databricks provides the community edition for free, but it\u2019s very limited in usage.<\/p>\n\n\n\n
But there\u2019s no such thing as a free mega-lunch\u2026I mean mega-loads. Databricks was designed from the start to handle large data volumes. That\u2019s what you\u2019re paying for. You\u2019ll struggle to run big data projects with Jupyter or Colab.<\/p>\n\n\n\n
The Databricks platform also offers powerful job scheduling and automated features that are built in to the system. With Jupyter, you\u2019ll need to use external tools for this. Colab also doesn\u2019t have these capabilities.<\/p>\n","protected":false},"excerpt":{"rendered":"
If you\u2019re used to traditional code editors like Visual Studio or even VBA macros in Excel, you may find that notebooks take a little getting used to. I did! A Databricks notebook is a web-based interface to an interactive computing environment. Notebooks are used to create and run code, visualize results, narrate data stories, and … Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[29],"tags":[],"_links":{"self":[{"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/posts\/926"}],"collection":[{"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/comments?post=926"}],"version-history":[{"count":5,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/posts\/926\/revisions"}],"predecessor-version":[{"id":1028,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/posts\/926\/revisions\/1028"}],"wp:attachment":[{"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/media?parent=926"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/categories?post=926"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bandittracker.com\/wp-json\/wp\/v2\/tags?post=926"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}