semvec/pypi-packages huggingface dataset:
boilerplatecode 1.0.1
Productivity tools to make a developer's life easier
License: MIT
Keywords: password,generate,password generator,productivity,tools,...


.. image:: logo.png

**boilerplatecode** is a Python module for demonstrating the process of open-source package creation, described in this YouTube video.

The project was created by Danil Zherebtsov in 2023 based on numerous requests.

It is currently maintained by a single contributor.

Documentation: link-to-documetation-here (or betteryet a hyperlink)

Installation
~~~~~~~~~~~~

.. code-block:: console

  $ pip install boilerplatecode
  $ pip install --upgrade boilerplatecode


Dependencies
------------

boilerplate-code requires:

- Python (>= 3.6)
- NumPy (>= 1.23.5) # this package does not require numpy, mentioned here as an example

=======

**boilerplate-code contains:**

- PasswordGenerator class that allows to generate random passwords
- more to come...

Development
-----------

We welcome new contributors of all experience levels. The boilerplatecode
community goals are to be helpful, welcoming, and effective. The
`Development Guide <https://scikit-learn.org/stable/developers/index.html>`_
has detailed information about contributing code, documentation, tests, and
more. We've included some basic information in this README.

Important links
---------------

- Official source code repo: https://github.com/DanilZherebtsov/boilerplatecode
- Issue tracker: https://github.com/DanilZherebtsov/boilerplatecode/issues

Source code
-----------

You can check the latest sources with the command::

    git clone https://github.com/DanilZherebtsov/boilerplatecode.git

Submitting a Pull Request
-------------------------

Before opening a Pull Request, have a look at the
full Contributing page to make sure your code complies
with our guidelines: https://scikit-learn.org/stable/developers/index.html

Communication
-------------

- Author email:
- Author profile:

Citation
--------

If you use boilerplatecode in a media/research publication, we would appreciate citations to the following: paper/profile/website/etc.
import-graph-python 0.1.0
Maps relative imports in your Python project.
License: MIT
Requires Python: >=3.7

# import-graph-python

Maps relative imports in your Python project.

## Local Development / Testing

- Create and activate a virtual environment
- Run `pip install -r requirements-dev.txt` to do an editable install
- Run `pytest` to run tests

## Type Checking

Run `mypy .`

## Create and upload a package to PyPI

Make sure to bump the version in `setup.cfg`.

Then run the following commands:

```bash
rm -rf build dist
python setup.py sdist bdist_wheel
```

Then upload it to PyPI using [twine](https://twine.readthedocs.io/en/latest/#installation):

```bash
twine upload dist/*
```