Anahi  Kirlin

Anahi Kirlin

1604982780

Find Out What's Changed with Edit & Version History in Google Sheets

Google Sheets automatically saves your work. Any time a change is made to your spreadsheet, it is automatically recorded in Version History in Google Sheets. This way you can easily review and restore previous versions of your Google spreadsheet. You can even create named versions in Google Sheets which makes it easier to keep track of different stages in a document’s lifecycle.

In addition to viewing the version history of the entire Google Sheet, you can also view the edit history of a single cell. This way you can see what’s changed in the cell, when and by whom. This is especially helpful when many collaborators are working on the same Google spreadsheet. However, be aware that some changes may not show up in Edit History. You can find examples in the Docs Editors Help.

Join My Google Sheets Comprehensive Masterclass HERE: https://courses.xelplus.com/p/google-sheets
*** Additional Bonuses are ONLY available on XelPlus. Check the course landing page for more info.

Time Stamps

  • 00:00 Find Out What’s Changed in Google Sheets
  • 01:07 Version History in Google Sheets
  • 01:58 Named Versions in Version History for Google Sheets
  • 02:45 Cell Edit History in Google Sheets
  • 03:56 Google Sheets Comprehensive Masterclass

Link to the complete article: https://www.xelplus.com/google-sheets-version-history/

#google-sheets #developer

What is GEEK

Buddha Community

Find Out What's Changed with Edit & Version History in Google Sheets
Jon  Gislason

Jon Gislason

1619247660

Google's TPU's being primed for the Quantum Jump

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.

As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.

Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.

The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.

#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus

Anahi  Kirlin

Anahi Kirlin

1604982780

Find Out What's Changed with Edit & Version History in Google Sheets

Google Sheets automatically saves your work. Any time a change is made to your spreadsheet, it is automatically recorded in Version History in Google Sheets. This way you can easily review and restore previous versions of your Google spreadsheet. You can even create named versions in Google Sheets which makes it easier to keep track of different stages in a document’s lifecycle.

In addition to viewing the version history of the entire Google Sheet, you can also view the edit history of a single cell. This way you can see what’s changed in the cell, when and by whom. This is especially helpful when many collaborators are working on the same Google spreadsheet. However, be aware that some changes may not show up in Edit History. You can find examples in the Docs Editors Help.

Join My Google Sheets Comprehensive Masterclass HERE: https://courses.xelplus.com/p/google-sheets
*** Additional Bonuses are ONLY available on XelPlus. Check the course landing page for more info.

Time Stamps

  • 00:00 Find Out What’s Changed in Google Sheets
  • 01:07 Version History in Google Sheets
  • 01:58 Named Versions in Version History for Google Sheets
  • 02:45 Cell Edit History in Google Sheets
  • 03:56 Google Sheets Comprehensive Masterclass

Link to the complete article: https://www.xelplus.com/google-sheets-version-history/

#google-sheets #developer

What Are Google Compute Engine ? - Explained

What Are Google Compute Engine ? - Explained

The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon’s Elastic Compute Cloud (EC2) and Microsoft Azure.

https://www.mrdeluofficial.com/2020/08/what-are-google-compute-engine-explained.html

#google compute engine #google compute engine tutorial #google app engine #google cloud console #google cloud storage #google compute engine documentation

Eva  Murphy

Eva Murphy

1625919480

Reading Data From Google Sheet using The Google Sheet API V4 From Our Service - 5

In this video, we are going to create a structure of our service so that we can read data from Google Sheets. We will see how to get the dimensions of a google sheet that is required to read data.

We will read the entries through Laravel that we have added to the Google sheet.

Code: https://github.com/amitavdevzone/google-data-studio

#google sheet api v4 #google sheet #data

Embedding your <image> in google colab <markdown>

This article is a quick guide to help you embed images in google colab markdown without mounting your google drive!

Image for post

Just a quick intro to google colab

Google colab is a cloud service that offers FREE python notebook environments to developers and learners, along with FREE GPU and TPU. Users can write and execute Python code in the browser itself without any pre-configuration. It offers two types of cells: text and code. The ‘code’ cells act like code editor, coding and execution in done this block. The ‘text’ cells are used to embed textual description/explanation along with code, it is formatted using a simple markup language called ‘markdown’.

Embedding Images in markdown

If you are a regular colab user, like me, using markdown to add additional details to your code will be your habit too! While working on colab, I tried to embed images along with text in markdown, but it took me almost an hour to figure out the way to do it. So here is an easy guide that will help you.

STEP 1:

The first step is to get the image into your google drive. So upload all the images you want to embed in markdown in your google drive.

Image for post

Step 2:

Google Drive gives you the option to share the image via a sharable link. Right-click your image and you will find an option to get a sharable link.

Image for post

On selecting ‘Get shareable link’, Google will create and display sharable link for the particular image.

#google-cloud-platform #google-collaboratory #google-colaboratory #google-cloud #google-colab #cloud