semvec/pypi-packages huggingface dataset:
jupyter_jaeger 1.0.3
Provides jupyter server proxy endpoints for launching Jaeger.
Requires Python: >=3.6

# jupyter-jaeger <br> ![PyPI](https://img.shields.io/pypi/v/jupyter_jaeger?style=flat-square) ![npm](https://img.shields.io/npm/v/jupyter-jaeger?style=flat-square)

This adds support for using the [Jaeger](https://www.jaegertracing.io/) distributed tracing tool with Jupyter. It facilitates the use case of tracking some process
that starts in a kernel and is continued in a mime renderer.

We are using it to profile and debug [`ibis-vega-transform`](https://github.com/Quansight/ibis-vega-transform) which goes back and forth between the kernel and the frontend to interactively render charts with Altair.



Installing this adds two Jupyter server extensions that start up the `jaeger-all-in-one` and `jaeger-browser` processes when you launch Jupyter.
So to use it you must first instrument code in your kernel and/or in the frontend to record traces. 

It also provis a NPM Typescript plugin you can use to access the client from inside a JupyterLab extension.


## Usage

```bash
# Install jaeger-all-in-one binary
conda install -c conda-forge jaeger

# Install this package
pip install jupyter-jaeger

# Optional, to see Jaeger icon in JupyterLab launcherr
jupyter labextension install jupyterlab-server-proxy-saulshanabrook

# Launch a Jupyter server
jupyter lab

# Open the jaeger UI
open http://localhost:8080/jaeger
```

## Example

This repo also includes an example of starting a trace from a kernel and continueing it in a mimeredenr jupyterlab extension,
in [`./example`](./example). You can try this example by:

1. [Launching the Binder](https://mybinder.org/v2/gh/Quansight/jupyter-jaeger/master?urlpath=lab/tree/example/Untitled.ipynb) for this repo.
2. Create a launcher and launch the Jaeger UI
3. Run the notebook.
4. Inspect the trace created by the notebook execution.
django-simple-cms 0.1.4
A simple  CMS for django

# django-simple-cms
A super simple CMS for Django that lets you create pages and blog posts. This app lets you create and manage navigation menus, simple pages like your site's About Us page, and create blog posts. You can edit the raw HTML or optionally use [TinyMCE Lite](https://pypi.org/project/django-tinymce4-lite/) for WYSIWIG editing.

This app is only intended for simple uses by trusted users, and allows you to insert content directly into pages including script tags.

## Requirements
* `django` >= 1.11
* `django-mptt` >= 0.9
* `pillow` >= 2.1
* `django-tinymce4-lite` >= 1.6 (optional, for WYSIWIG editing)

## Quick Start
Install `django-simple-cms`
```
pip install django-simple-cms
```
Add `cms` to `INSTALLED_APPS` in your project's `settings.py`.

```python
INSTALLED_APPS = (
    ...
     'cms',
    ...
)
```

Run migrations in your project to create the models for the CMS app.

```
./manage.py migrate cms
```

If you want WYSIWIG editing, also follow the [installation guide](https://pypi.org/project/django-tinymce4-lite/#quick-start) for `django-tinymce4-lite`.
greedy 0.1.1
Greedy (topological) coloring for GeoPandas
Requires Python: >=3.6

# greedy
[![Build Status](https://travis-ci.org/martinfleis/greedy.svg?branch=master)](https://travis-ci.org/martinfleis/greedy) [![codecov](https://codecov.io/gh/martinfleis/greedy/branch/master/graph/badge.svg)](https://codecov.io/gh/martinfleis/greedy)

## Introduction
Greedy (topological) coloring for GeoPandas

`greedy` is a Python package which brings topological (greedy) coloring to [GeoPandas](http://geopandas.org).
It offers several coloring strategies, all accessible using one line of code:

```py
gdf['colors'] = greedy(gdf)
```

![alt text](https://github.com/martinfleis/greedy/blob/master/docs/_images/output_7_02.png?raw=true)

## Documentation
Documentation of `greedy` is available at [martinfleis.github.io/greedy](https://martinfleis.github.io/greedy/).


## Install
You can install `momepy` using Conda from `conda-forge` (recommended):

    conda install -c conda-forge greedy

or from PyPI using `pip`:

    pip install greedy

See the [installation instructions](https://martinfleis.github.io/greedy/install.html) for detailed instructions.

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Copyright (c) 2017 - 2019 Martin Fleischmann, Nyall Dawson