semvec/pypi-packages huggingface dataset:
notebook-to-blog 0.0.1
Convert a Jupyter notebook to blog ready format
License: MIT

# Notebook to Blog

## Overview

**Notebook to Blog** is a Python CLI that makes it easy to go from a Jupyter Notebook to the following outputs:
- A .txt file containing blog text and placeholders
- Images of plots (saved locally)
- Github Gists

While not completely automated, this will make it much easier to create a blog post (e.g., Medium).

## Instructions

1. Install via `pip install notebook-to-blog`.
2. Store your Github username/password somewhere in your filesystem:

```
GITHUB_USER=<username>
GITHUB_PASSWORD=<password>
```
3. Run via `notebook_to_blog <path to Jupyter notebook> <path to output directory> <path to Github credentials>`

For example, running `notebook_to_blog my_notebook.ipynb output .env` will create the following files:

```
output/
  my_notebok.txt
  images/
    image_00.png
```

In addition, Github Gists will be created for each code block encountered.

**my_notebook.txt** looks like the following:

```
Whatever you wrote in Markdown will appear as regular text. Code blocks will cause Github Gists to be created, and a link to be inserted:

https://gist.github.com/cgrinaldi/1a11acbdc9006849323163e354955a31

Images will also be represented as placeholder text:

<INSERT img_04.png>
```
easyevaluations 1.3
Easily evaluate the predictions of machine learning algorithms
License: MIT

This Python package shall facilitate the evaluation of the predictions of machine learning algorithms. In the current version, there are only two
functions in the package. For both regression and classification algorithms there is a function called "summary", which takes the true values for the
dependent variable and the respective predictions as an input. It returns a thorough overview of the performance including the most common metrics.
This allows a quick analysis in order to determine the performance of the algorithm.# easy_evaluation