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AI Quiz of the Day – #13 (Pandas)

Analytics Vidhya

Pandas offers many tools to make your data dance to your tune, from slicing and dicing to merging […] The post AI Quiz of the Day – #13 (Pandas) appeared first on Analytics Vidhya. With its versatile DataFrame structure, Pandas empowers you to navigate the vast data landscape effortlessly.

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NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views.

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NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views.

article thumbnail

NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views.

article thumbnail

NOS 4.0 Cluster Health – Slices & Dices

Nutanix

It slices and it dices! Nutanix Cluster Health is a new feature that will be another great asset in maintaining availability for your Tier 1 workloads. Cluster Health allows the ability to monitor and visually see the overall health of cluster nodes, VMs and disks from a variety of different views.

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How to use SQL with Pandas?

MLWhiz

It lets you slice and dice, groupby, join and do any arbitrary data transformation. Pandas is one of the best data manipulation libraries in recent times. You can take a look at this post, which talks about handling most of the data manipulation cases using a straightforward, simple, and matter of fact way using Pandas.

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Faster data exploration in Jupyter through Lux

Domino Data Lab

Lux also supports specifying particular intent and then further slice, dice and filter charts to find one that best suits the problem you’re working on. Filter lets you set a range on a particular attribute while generalize lets you remove attributes from the established intent – meaning you can perform other slice and dice analysis.