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How to install pearlib via python pip




pearlib - The library that makes neural networks appear, it belongs to Classifiers:

- Framework :: IDLE
- Topic :: Scientific/Engineering :: Visualization

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



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_pearlib_env

- Active the virtual environment

test_pearlib_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_pearlib_env

- Active the virtual environment

source test_pearlib_env/bin/active


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

To install pearlib on Windows(CMD):

py -m pip install pearlib

To install pearlib on Unix/macOs:

pip install pearlib


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

Example:

pip install pearlib==0.1


Please see the version list below table:

VersionReleased dateCommand
pearlib 1.02018-01-11T04:02:53Windows:

py -m pip install pearlib==1.0

Unix/macOs:

pip install pearlib==1.0

pearlib 0.952018-01-11T03:57:42Windows:

py -m pip install pearlib==0.95

Unix/macOs:

pip install pearlib==0.95

pearlib 0.92018-01-11T03:55:21Windows:

py -m pip install pearlib==0.9

Unix/macOs:

pip install pearlib==0.9

pearlib 0.82018-01-11T03:50:28Windows:

py -m pip install pearlib==0.8

Unix/macOs:

pip install pearlib==0.8

pearlib 0.72018-01-08T23:03:46Windows:

py -m pip install pearlib==0.7

Unix/macOs:

pip install pearlib==0.7

pearlib 0.62018-01-07T14:51:09Windows:

py -m pip install pearlib==0.6

Unix/macOs:

pip install pearlib==0.6

pearlib 0.52018-01-07T04:22:35Windows:

py -m pip install pearlib==0.5

Unix/macOs:

pip install pearlib==0.5

pearlib 0.42018-01-07T03:22:34Windows:

py -m pip install pearlib==0.4

Unix/macOs:

pip install pearlib==0.4

pearlib 0.32018-01-06T18:41:56Windows:

py -m pip install pearlib==0.3

Unix/macOs:

pip install pearlib==0.3

pearlib 0.22018-01-05T20:43:17Windows:

py -m pip install pearlib==0.2

Unix/macOs:

pip install pearlib==0.2

pearlib 0.12018-01-05T13:53:58Windows:

py -m pip install pearlib==0.1

Unix/macOs:

pip install pearlib==0.1


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

Download the distribution file from pearlib-1.0.tar.gz or the specific pearlib version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_pearlib_downloaded_file>

On Unix/macOs:

pip install <path_to_pearlib_downloaded_file>


List distribution:


Project link:

- Homepage