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ipycache

v0.1.4

Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistentpickle file. For more information about how to use this package see README

Latest version published 11 years ago

License: BSD-2-Clause

PyPI

Package Health Score

24 / 100

security
Security issues found
popularity
Limited
maintenance
Inactive
community
Limited

Popularity

Limited

GitHub Stars: ?
Forks: ?
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package ipycache, we found that it has been starred ? times.

Security

Security issues found

Security and license risk for latest version

Release Date: Oct 13, 2013
Direct Vulnerabilities: 0
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1
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0
M
0
L
Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
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0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-2-Clause

Security Policy

We found a way for you to contribute to the project! Looks like ipycache is missing a security policy.

Snyk detected that the latest version of ipycache has a security vulnerability.

We highly advise you to review these security issues.

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Maintenance

Inactive

Commit Frequency

Unavailable commit data

Open Issues: ?
Open PR: ?
Last Release: 11 years ago
Last Commit: unknown

Further analysis of the maintenance status of ipycache based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for ipycache is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: Unspecified

Age: 11 years
Latest Release: 11 years ago
Dependencies: N/A
Versions: 5
Maintainers: 2
Wheels: No

Readme

%%cache cell magic

Defines a %%cache cell magic in the IPython notebook to cache results and outputs of long-lasting computations in a persistent pickle file. Useful when some computations in a notebook are long and you want to easily save the results in a file.

Example

> - [Example > notebook]().

Installation

> - pip install ipycache

Usage

> - In IPython: > > > %load_ext ipycache > > - Then, create a cell with: > > > %%cache mycache.pkl var1 var2 var1 = 1 var2 = 2 > > - When you execute this cell the first time, the code is executed, > and the variables var1 and class="title-ref">var2 are saved in class="title-ref">mycache.pkl in the current directory > along with the outputs. Rich display outputs are only saved if you > use the development version of IPython. When you execute this cell > again, the code is skipped, the variables are loaded from the file > and injected into the namespace, and the outputs are restored in > the notebook. > > - Use the --force or class="title-ref">-f option to force the cell's execution > and overwrite the file. > > - Use the --read or class="title-ref">-r option to prevent the cell's execution > and always load the variables from the cache. An exception is > raised if the file does not exist. > > - Use the --cachedir or class="title-ref">-d option to specify the cache directory. > You can specify a default directory in the IPython configuration > file in your profile (typically in class="title-ref">~.ipythonprofile_defaultipython_config.py) > by adding the following line: > > > c.CacheMagics.cachedir = "/path/to/mycache" > > If both a default cache directory and the class="title-ref">--cachedir option are given, the latter > is used.

FAQs

What is ipycache?

Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistentpickl... Visit Snyk Advisor to see a full health score report for ipycache, including popularity, security, maintenance & community analysis.

Is ipycache popular?

The python package ipycache receives a total of 64 weekly downloads. As such, ipycache popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is ipycache safe to use?

Security issues were found while scanning the latest version of ipycache, and a total of 1 vulnerabilities were detected. It is highly advised to conduct a security review before using this package. View the full security scan results.

Last updated on 7 November-2024, at 23:12 (UTC).

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