Coding With Fun
Home Docker Django Node.js Articles Python pip guide FAQ Policy
 

How to install Markov via python pip




Markov - Python library for Hidden Markov Models, it belongs to Classifiers:

- Environment :: Other Environment
- Intended Audience :: Information Technology
- License :: OSI Approved :: Mozilla Public License 1.1 (MPL 1.1)

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



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_Markov_env

- Active the virtual environment

test_Markov_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_Markov_env

- Active the virtual environment

source test_Markov_env/bin/active


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

To install Markov on Windows(CMD):

py -m pip install Markov

To install Markov on Unix/macOs:

pip install Markov


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

Example:

pip install Markov==0.1


Please see the version list below table:

VersionReleased dateCommand
Markov 0.4.02018-11-16T12:38:15Windows:

py -m pip install Markov==0.4.0

Unix/macOs:

pip install Markov==0.4.0

Markov 0.3.52016-11-30T15:32:06Windows:

py -m pip install Markov==0.3.5

Unix/macOs:

pip install Markov==0.3.5

Markov 0.3.42016-11-03T10:41:48Windows:

py -m pip install Markov==0.3.4

Unix/macOs:

pip install Markov==0.3.4

Markov 0.3.32016-09-19T11:48:55Windows:

py -m pip install Markov==0.3.3

Unix/macOs:

pip install Markov==0.3.3

Markov 0.3.22016-09-19T11:12:07Windows:

py -m pip install Markov==0.3.2

Unix/macOs:

pip install Markov==0.3.2

Markov 0.3.12016-09-16T16:05:26Windows:

py -m pip install Markov==0.3.1

Unix/macOs:

pip install Markov==0.3.1

Markov 0.3.02016-09-16T13:40:54Windows:

py -m pip install Markov==0.3.0

Unix/macOs:

pip install Markov==0.3.0

Markov 0.2.102016-08-01T16:12:20Windows:

py -m pip install Markov==0.2.10

Unix/macOs:

pip install Markov==0.2.10

Markov 0.2.92016-08-01T15:36:22Windows:

py -m pip install Markov==0.2.9

Unix/macOs:

pip install Markov==0.2.9

Markov 0.2.82016-08-01T14:36:45Windows:

py -m pip install Markov==0.2.8

Unix/macOs:

pip install Markov==0.2.8

Markov 0.2.72016-08-01T12:45:40Windows:

py -m pip install Markov==0.2.7

Unix/macOs:

pip install Markov==0.2.7

Markov 0.2.62016-07-29T15:26:50Windows:

py -m pip install Markov==0.2.6

Unix/macOs:

pip install Markov==0.2.6

Markov 0.2.52016-07-29T14:55:46Windows:

py -m pip install Markov==0.2.5

Unix/macOs:

pip install Markov==0.2.5

Markov 0.2.42016-07-29T12:52:16Windows:

py -m pip install Markov==0.2.4

Unix/macOs:

pip install Markov==0.2.4

Markov 0.2.32016-07-29T12:17:41Windows:

py -m pip install Markov==0.2.3

Unix/macOs:

pip install Markov==0.2.3

Markov 0.2.22016-07-29T12:10:27Windows:

py -m pip install Markov==0.2.2

Unix/macOs:

pip install Markov==0.2.2

Markov 0.2.12016-07-29T10:44:34Windows:

py -m pip install Markov==0.2.1

Unix/macOs:

pip install Markov==0.2.1

Markov 0.22016-07-29T10:43:08Windows:

py -m pip install Markov==0.2

Unix/macOs:

pip install Markov==0.2

Markov 0.12014-03-05T20:56:52Windows:

py -m pip install Markov==0.1

Unix/macOs:

pip install Markov==0.1


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

Download the distribution file from Markov-0.4.0-py3-none-any.whl or the specific Markov version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_Markov_downloaded_file>

On Unix/macOs:

pip install <path_to_Markov_downloaded_file>


List distribution:

- Markov-0.1.tar.gz
- Markov-0.2.tar.gz
- Markov-0.2.1.tar.gz
- Markov-0.2.2.tar.gz
- Markov-0.2.3.tar.gz
- Markov-0.2.4.tar.gz
- Markov-0.2.5.tar.gz
- Markov-0.2.6.tar.gz
- Markov-0.2.7.tar.gz
- Markov-0.2.8.tar.gz
- Markov-0.2.9.tar.gz
- Markov-0.2.10.tar.gz
- Markov-0.3.0.tar.gz
- Markov-0.3.1.tar.gz
- Markov-0.3.2.tar.gz
- Markov-0.3.3.tar.gz
- Markov-0.3.4.tar.gz
- Markov-0.3.5.tar.gz
- Markov-0.4.0-py3-none-any.whl


Project link:

- Homepage
- Download