How to install dataglove via python pip

dataglove - 64-bit Python Module of the DataGlove API., it belongs to Classifiers:

- Operating System :: Microsoft
- Operating System :: Microsoft :: Windows

When you know about this project and you want to new install dataglove to support your project or you get trouble as ModuleNotFoundError: No module named "dataglove" or ImportError: cannot import name "dataglove" in your project, let follow this tutorial to install dataglove

Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel

Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_dataglove_env

- Active the virtual environment

test_dataglove_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_dataglove_env

- Active the virtual environment

source test_dataglove_env/bin/active

Step 2: OK, now, let flow below content to start the installation dataglove

To install dataglove on Windows(CMD):

py -m pip install dataglove

To install dataglove on Unix/macOs:

pip install dataglove

Step 3: If you want to install a specific dataglove version, add ==<dataglove version> to the end command line

Example:

pip install dataglove==0.0.2

Please see the version list below table:

Version	Released date	Command
dataglove 0.3.0	2021-06-15T20:29:39	Windows: `py -m pip install dataglove==0.3.0` Unix/macOs: `pip install dataglove==0.3.0`
dataglove 0.2.11	2021-06-15T20:12:02	Windows: `py -m pip install dataglove==0.2.11` Unix/macOs: `pip install dataglove==0.2.11`
dataglove 0.2.10	2021-06-15T20:04:52	Windows: `py -m pip install dataglove==0.2.10` Unix/macOs: `pip install dataglove==0.2.10`
dataglove 0.2.9	2021-06-15T20:03:45	Windows: `py -m pip install dataglove==0.2.9` Unix/macOs: `pip install dataglove==0.2.9`
dataglove 0.2.8	2021-06-15T19:43:02	Windows: `py -m pip install dataglove==0.2.8` Unix/macOs: `pip install dataglove==0.2.8`
dataglove 0.2.7	2021-06-15T19:34:54	Windows: `py -m pip install dataglove==0.2.7` Unix/macOs: `pip install dataglove==0.2.7`
dataglove 0.2.6	2021-06-15T19:26:17	Windows: `py -m pip install dataglove==0.2.6` Unix/macOs: `pip install dataglove==0.2.6`
dataglove 0.2.5	2021-06-15T17:07:10	Windows: `py -m pip install dataglove==0.2.5` Unix/macOs: `pip install dataglove==0.2.5`
dataglove 0.2.4	2021-06-14T21:02:34	Windows: `py -m pip install dataglove==0.2.4` Unix/macOs: `pip install dataglove==0.2.4`
dataglove 0.2.3	2020-07-22T22:23:00	Windows: `py -m pip install dataglove==0.2.3` Unix/macOs: `pip install dataglove==0.2.3`
dataglove 0.2.2	2020-07-22T22:18:19	Windows: `py -m pip install dataglove==0.2.2` Unix/macOs: `pip install dataglove==0.2.2`
dataglove 0.2.1	2020-07-22T22:12:07	Windows: `py -m pip install dataglove==0.2.1` Unix/macOs: `pip install dataglove==0.2.1`
dataglove 0.2.0	2020-06-17T21:57:05	Windows: `py -m pip install dataglove==0.2.0` Unix/macOs: `pip install dataglove==0.2.0`
dataglove 0.1.2	2020-01-24T21:58:07	Windows: `py -m pip install dataglove==0.1.2` Unix/macOs: `pip install dataglove==0.1.2`
dataglove 0.1.1	2020-01-24T21:51:33	Windows: `py -m pip install dataglove==0.1.1` Unix/macOs: `pip install dataglove==0.1.1`
dataglove 0.1.0	2019-12-04T20:24:49	Windows: `py -m pip install dataglove==0.1.0` Unix/macOs: `pip install dataglove==0.1.0`
dataglove 0.0.12	2019-08-09T19:01:45	Windows: `py -m pip install dataglove==0.0.12` Unix/macOs: `pip install dataglove==0.0.12`
dataglove 0.0.11	2019-07-31T18:02:36	Windows: `py -m pip install dataglove==0.0.11` Unix/macOs: `pip install dataglove==0.0.11`
dataglove 0.0.10	2019-07-26T22:45:54	Windows: `py -m pip install dataglove==0.0.10` Unix/macOs: `pip install dataglove==0.0.10`
dataglove 0.0.9	2019-07-26T22:28:31	Windows: `py -m pip install dataglove==0.0.9` Unix/macOs: `pip install dataglove==0.0.9`
dataglove 0.0.8	2019-07-26T22:00:21	Windows: `py -m pip install dataglove==0.0.8` Unix/macOs: `pip install dataglove==0.0.8`
dataglove 0.0.7	2019-07-26T20:34:15	Windows: `py -m pip install dataglove==0.0.7` Unix/macOs: `pip install dataglove==0.0.7`
dataglove 0.0.6	2019-07-24T23:13:32	Windows: `py -m pip install dataglove==0.0.6` Unix/macOs: `pip install dataglove==0.0.6`
dataglove 0.0.5	2019-07-24T22:55:40	Windows: `py -m pip install dataglove==0.0.5` Unix/macOs: `pip install dataglove==0.0.5`
dataglove 0.0.4	2019-07-24T22:46:46	Windows: `py -m pip install dataglove==0.0.4` Unix/macOs: `pip install dataglove==0.0.4`
dataglove 0.0.3	2019-07-24T19:51:05	Windows: `py -m pip install dataglove==0.0.3` Unix/macOs: `pip install dataglove==0.0.3`
dataglove 0.0.2	2019-07-24T19:33:52	Windows: `py -m pip install dataglove==0.0.2` Unix/macOs: `pip install dataglove==0.0.2`

Step 4: Otherwise, you can install dataglove from local archives:

Download the distribution file from dataglove-0.3.0.tar.gz or the specific dataglove version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_dataglove_downloaded_file>

On Unix/macOs:

pip install <path_to_dataglove_downloaded_file>

List distribution:

Project link:

How to install dataglove via python pip

Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

Step 2: OK, now, let flow below content to start the installation dataglove

Step 3: If you want to install a specific dataglove version, add ==<dataglove version> to the end command line

Step 4: Otherwise, you can install dataglove from local archives:

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