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How to install ttl-cache via python pip




ttl-cache - Decorator to wrap a function with a memoizing callable that has TTL result, it belongs to Classifiers:

- Environment :: Console
- License :: OSI Approved :: MIT License
- Programming Language :: Python
- Programming Language :: Python :: 2
- Programming Language :: Python :: 2.7
- Programming Language :: Python :: 3
- Programming Language :: Python :: 3.6
- Programming Language :: Python :: 3.7
- Programming Language :: Python :: Implementation
- Programming Language :: Python :: Implementation :: CPython
- Programming Language :: Python :: Implementation :: PyPy
- Topic :: Software Development
- Topic :: Software Development :: Libraries
- Topic :: Software Development :: Libraries :: Python Modules

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



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_ttl-cache_env

- Active the virtual environment

test_ttl-cache_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_ttl-cache_env

- Active the virtual environment

source test_ttl-cache_env/bin/active


Step 2: OK, now, let flow below content to start the installation ttl-cache

To install ttl-cache on Windows(CMD):

py -m pip install ttl-cache

To install ttl-cache on Unix/macOs:

pip install ttl-cache


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

Example:

pip install ttl-cache==1.0


Please see the version list below table:

VersionReleased dateCommand
ttl-cache 1.62020-01-03T05:39:31Windows:

py -m pip install ttl-cache==1.6

Unix/macOs:

pip install ttl-cache==1.6

ttl-cache 1.52019-08-24T12:31:08Windows:

py -m pip install ttl-cache==1.5

Unix/macOs:

pip install ttl-cache==1.5

ttl-cache 1.42019-01-16T09:16:58Windows:

py -m pip install ttl-cache==1.4

Unix/macOs:

pip install ttl-cache==1.4

ttl-cache 1.32019-01-14T03:03:10Windows:

py -m pip install ttl-cache==1.3

Unix/macOs:

pip install ttl-cache==1.3

ttl-cache 1.22019-01-04T02:29:27Windows:

py -m pip install ttl-cache==1.2

Unix/macOs:

pip install ttl-cache==1.2

ttl-cache 1.12019-01-03T10:26:54Windows:

py -m pip install ttl-cache==1.1

Unix/macOs:

pip install ttl-cache==1.1

ttl-cache 1.02018-12-29T03:07:36Windows:

py -m pip install ttl-cache==1.0

Unix/macOs:

pip install ttl-cache==1.0


Step 4: Otherwise, you can install ttl-cache from local archives:

Download the distribution file from ttl-cache-1.6.tar.gz or the specific ttl-cache version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_ttl-cache_downloaded_file>

On Unix/macOs:

pip install <path_to_ttl-cache_downloaded_file>


List distribution:


Project link:

- Homepage