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D-Tale download for Windows

Free download D-Tale Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named D-Tale whose latest release can be downloaded as D-Tale3.7.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named D-Tale with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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D-Tale


DESCRIPTION

D-Tale is the combination of a Flask backend and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently, this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. D-Tale was the product of a SAS to Python conversion. What was originally a perl script wrapper on top of SAS's insight function is now a lightweight web client on top of Pandas data structures. To help guard against users loading the same data to D-Tale multiple times and thus eating up precious memory, we have a loose check for duplicate input data. If you are running ipython<=5.0 then you also have the ability to adjust the size of your output cell for the most recent instance displayed. JupyterHub has an extension that allows to proxy port for user, JupyterHub Server Proxy.



Features

  • Access CLI Loaders in Notebook or Console
  • It is now possible to run D-Tale with no data loaded up front
  • Once you've loaded a file it will take you directly to the standard data grid comprised of the data from the file you loaded
  • Custom Command-line Loaders
  • You can choose to use optional authentication
  • Users can build their own custom filters which can be used from the front-end


Programming Language

TypeScript


Categories

Data Visualization

This is an application that can also be fetched from https://sourceforge.net/projects/d-tale.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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