How to install pyDatalog via python pip

pyDatalog - A pure-python implementation of Datalog, a truly declarative language derived from Prolog., it belongs to Classifiers:

- Environment :: Other Environment
- Intended Audience :: Education
- License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
- Programming Language :: Prolog
- Topic :: Database
- Topic :: Database :: Database Engines/Servers

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

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_pyDatalog_env

- Active the virtual environment

test_pyDatalog_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_pyDatalog_env

- Active the virtual environment

source test_pyDatalog_env/bin/active

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

To install pyDatalog on Windows(CMD):

py -m pip install pyDatalog

To install pyDatalog on Unix/macOs:

pip install pyDatalog

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

Example:

pip install pyDatalog==0.1.0

Please see the version list below table:

Version	Released date	Command
pyDatalog 0.17.1	2016-01-24T21:36:05	Windows: `py -m pip install pyDatalog==0.17.1` Unix/macOs: `pip install pyDatalog==0.17.1`
pyDatalog 0.17.0	2016-01-20T12:00:25	Windows: `py -m pip install pyDatalog==0.17.0` Unix/macOs: `pip install pyDatalog==0.17.0`
pyDatalog 0.16.0	2015-07-05T09:40:55	Windows: `py -m pip install pyDatalog==0.16.0` Unix/macOs: `pip install pyDatalog==0.16.0`
pyDatalog 0.15.2	2015-03-01T10:23:09	Windows: `py -m pip install pyDatalog==0.15.2` Unix/macOs: `pip install pyDatalog==0.15.2`
pyDatalog 0.15.1	2015-03-01T09:57:19	Windows: `py -m pip install pyDatalog==0.15.1` Unix/macOs: `pip install pyDatalog==0.15.1`
pyDatalog 0.15.0	2014-12-14T20:41:01	Windows: `py -m pip install pyDatalog==0.15.0` Unix/macOs: `pip install pyDatalog==0.15.0`
pyDatalog 0.14.6	2014-08-19T16:22:47	Windows: `py -m pip install pyDatalog==0.14.6` Unix/macOs: `pip install pyDatalog==0.14.6`
pyDatalog 0.14.5	2014-03-23T18:10:03	Windows: `py -m pip install pyDatalog==0.14.5` Unix/macOs: `pip install pyDatalog==0.14.5`
pyDatalog 0.14.4	2014-03-23T17:06:17	Windows: `py -m pip install pyDatalog==0.14.4` Unix/macOs: `pip install pyDatalog==0.14.4`
pyDatalog 0.14.3	2014-03-23T16:25:05	Windows: `py -m pip install pyDatalog==0.14.3` Unix/macOs: `pip install pyDatalog==0.14.3`
pyDatalog 0.14.2	2014-03-23T16:18:26	Windows: `py -m pip install pyDatalog==0.14.2` Unix/macOs: `pip install pyDatalog==0.14.2`
pyDatalog 0.14.1	2014-02-23T09:58:35	Windows: `py -m pip install pyDatalog==0.14.1` Unix/macOs: `pip install pyDatalog==0.14.1`
pyDatalog 0.14.0	2013-12-27T20:57:43	Windows: `py -m pip install pyDatalog==0.14.0` Unix/macOs: `pip install pyDatalog==0.14.0`
pyDatalog 0.13.0	2013-04-17T08:06:12	Windows: `py -m pip install pyDatalog==0.13.0` Unix/macOs: `pip install pyDatalog==0.13.0`
pyDatalog 0.12.0	2013-01-03T20:16:32	Windows: `py -m pip install pyDatalog==0.12.0` Unix/macOs: `pip install pyDatalog==0.12.0`
pyDatalog 0.11.2	2012-11-02T08:49:36	Windows: `py -m pip install pyDatalog==0.11.2` Unix/macOs: `pip install pyDatalog==0.11.2`
pyDatalog 0.11.1	2012-09-26T11:52:07	Windows: `py -m pip install pyDatalog==0.11.1` Unix/macOs: `pip install pyDatalog==0.11.1`
pyDatalog 0.11	2012-09-25T10:29:51	Windows: `py -m pip install pyDatalog==0.11` Unix/macOs: `pip install pyDatalog==0.11`
pyDatalog 0.10.0	2012-09-05T14:11:51	Windows: `py -m pip install pyDatalog==0.10.0` Unix/macOs: `pip install pyDatalog==0.10.0`
pyDatalog 0.9.0	2012-10-30T21:36:51	Windows: `py -m pip install pyDatalog==0.9.0` Unix/macOs: `pip install pyDatalog==0.9.0`
pyDatalog 0.8.1	2012-10-30T21:37:40	Windows: `py -m pip install pyDatalog==0.8.1` Unix/macOs: `pip install pyDatalog==0.8.1`
pyDatalog 0.8.0	2012-07-17T04:37:32	Windows: `py -m pip install pyDatalog==0.8.0` Unix/macOs: `pip install pyDatalog==0.8.0`
pyDatalog 0.7.0	2012-07-10T16:20:41	Windows: `py -m pip install pyDatalog==0.7.0` Unix/macOs: `pip install pyDatalog==0.7.0`
pyDatalog 0.6.0	2012-06-30T15:53:54	Windows: `py -m pip install pyDatalog==0.6.0` Unix/macOs: `pip install pyDatalog==0.6.0`
pyDatalog 0.5.0	2012-06-20T17:11:49	Windows: `py -m pip install pyDatalog==0.5.0` Unix/macOs: `pip install pyDatalog==0.5.0`
pyDatalog 0.4.0	2012-05-03T15:03:24	Windows: `py -m pip install pyDatalog==0.4.0` Unix/macOs: `pip install pyDatalog==0.4.0`
pyDatalog 0.3.4	2012-04-29T22:07:09	Windows: `py -m pip install pyDatalog==0.3.4` Unix/macOs: `pip install pyDatalog==0.3.4`
pyDatalog 0.3.3	2012-04-29T21:39:47	Windows: `py -m pip install pyDatalog==0.3.3` Unix/macOs: `pip install pyDatalog==0.3.3`
pyDatalog 0.3.2	2012-04-29T20:39:19	Windows: `py -m pip install pyDatalog==0.3.2` Unix/macOs: `pip install pyDatalog==0.3.2`
pyDatalog 0.3.0	2012-04-25T15:05:48	Windows: `py -m pip install pyDatalog==0.3.0` Unix/macOs: `pip install pyDatalog==0.3.0`
pyDatalog 0.2.2	2012-04-19T21:26:29	Windows: `py -m pip install pyDatalog==0.2.2` Unix/macOs: `pip install pyDatalog==0.2.2`
pyDatalog 0.2.1	2012-04-16T10:42:28	Windows: `py -m pip install pyDatalog==0.2.1` Unix/macOs: `pip install pyDatalog==0.2.1`
pyDatalog 0.1.1	2012-04-13T11:28:59	Windows: `py -m pip install pyDatalog==0.1.1` Unix/macOs: `pip install pyDatalog==0.1.1`
pyDatalog 0.1.0	2012-04-13T10:36:39	Windows: `py -m pip install pyDatalog==0.1.0` Unix/macOs: `pip install pyDatalog==0.1.0`

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

Download the distribution file from pyDatalog-0.17.1.zip or the specific pyDatalog version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_pyDatalog_downloaded_file>

On Unix/macOs:

pip install <path_to_pyDatalog_downloaded_file>

List distribution:

Project link:

- Homepage
- Download

How to install pyDatalog 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 pyDatalog

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

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

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