-

- -

Tuesday, January 25, 2022

Swap single quotes and double quotes online

.

.

About swap single quotes and double quotes text tool

A simple, efficient and free online tool to quickly swap the single and double quotes present in the given text.

Rules

  1. Enter or paste the text in the Enter text text area.
  2. Click on Swap button to see the result in the Swapped text text area.

Sample Input

Hello 'user'! Welcome to "OneCompiler"!

Sample Output

Hello "user"! Welcome to 'OneCompiler'!

Edit JSON Online

 .

https://jsoneditoronline.org/

.

About

Version: 5.10.8 (changelog), copyright © 2011-2022 Jos de Jong

JSON Editor Online is a web-based tool to view, edit, and format JSON. It shows your data side by side in a clear, editable treeview or a code editor. You can store documents locally or in the cloud.

Report a bug

If you encounter a bug or have questions or suggestions for improvements, please report this at https://github.com/josdejong/jsoneditor/issues/.

Source code

The source code of the main component of this web application, JSONEditor, is open source. You can find it at https://github.com/josdejong/jsoneditor.

Data policy

No data is shared anywhere except when you save a document in the cloud. Cloud documents are publicly accessible for anyone who has the document id.

DO NOT SAVE SENSITIVE DATA USING THE CLOUD FUNCTIONALITY

Privacy policy

This site uses cookies and similar tracking technologies such as the Common ID cookie to provide its services. Click here for information or to opt out.

Advertising

For any advertising inquiries please contact sales@playwire.com.

Saturday, January 22, 2022

Machine Learning on Tabular Data with Nyckel

. In the video, the instructor used one of the most popular datasets on kaggle - the titanic dataset. It lists data on titanic passengers (name, age, number of siblings, ticket class, etc.) with a column that indicates whether the passenger survived the shipwreck. The challenge is to create a model that predicts which passengers survived. In less that two minutes, the system is able to go from the data to a trained and deployed model. Underneath this serene user experience, there is a lot going on: (1)Training-optimized cloud hardware is allocated, (2)Several state-of-the-art deep neural networks and hyper-parameters are evaluated to find the best fit for the data, (3)The model is deployed on inference-optimized and elastically scalable cloud hardware, behind a secure REST API . . https://www.nyckel.com/blog/fast-machine-learning-tabular-data-automl/