Python-Email | Simple Example of SMTP Protocol | Networking library

by samlopezf Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Python-Email Summary

Python-Email is a Python library typically used in Networking applications. Python-Email has no bugs, it has no vulnerabilities and it has low support. However Python-Email build file is not available. You can download it from GitHub.

Simple Example of SMTP Protocol for Emailing

Support

Quality

Security

License

Reuse

Support

Python-Email has a low active ecosystem.

It has 53 star(s) with 59 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

Python-Email has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Python-Email is current.

Quality

Python-Email has 0 bugs and 0 code smells.

Security

Python-Email has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Python-Email code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Python-Email does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Python-Email releases are not available. You will need to build from source code and install.

Python-Email has no build file. You will be need to create the build yourself to build the component from source.

Python-Email saves you 9 person hours of effort in developing the same functionality from scratch.

It has 28 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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Python-Email Key Features

No Key Features are available at this moment for Python-Email.

Python-Email Examples and Code Snippets

No Code Snippets are available at this moment for Python-Email.

Community Discussions

Trending Discussions on Python-Email

What's the advantage of having requirements point directly to git repository rather than PyPi?

QUESTION

What's the advantage of having requirements point directly to git repository rather than PyPi?

Asked 2020-Sep-11 at 08:46

Recently I asked a Python library maintainer if he could upload a new tagged version of his library to PyPI (https://pypi.org/). He stated that PyPI is not so important nowadays [1].

Is is true? Do people (i.e., you) indeed tend not to use PyPI? If so, what do you use instead and why?

The requirements.txt apparently allows you to specify the git repository directly, skipping PyPI by using git+https://github.com/ directly. Though I can't think of any particular advantage over using PyPI.

Are there any graphs to support the statement? Should the statement be true I would expect the amount of downloads from PyPI (per interval) would be decreasing in time. PyPI publishes this kind of data to Google BigQuery. Checked now and the number of downloads are as follows:

...

ANSWER

Answered 2020-Sep-11 at 08:46

PyPI is not so important nowadays Is is true?

Not at all. The advantages of publishing on PyPI:

One can publish wheels at PyPI so pip install package downloads a platform-specific wheel.
PyPI is hosted at a CDN (content delivery network) so downloading from PyPI is fast.

3a. pip caches downloaded packages so it doesn't re-download packages for every virtual environment. It caches by their original URLs and the URLs for PyPI are stable.

3b. pip very badly caches cloned repositories. Usually it re-clones a-new the entire repository.

Source https://stackoverflow.com/questions/63843082

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Python-Email

You can download it from GitHub.
You can use Python-Email like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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