semvec/pypi-packages huggingface dataset:
litegrade 0.0.62
An intuitive grading tool for IPython notebooks
Requires Python: >=3.6

# litegrade

**litegrade** is a Python library that gives IPython notebook authors a simple and user friendly method of evaluating the learning retention of notebook readers. A few functionalities include:

  - Implement in Jupyter and Google Colab notebook environments
  - **ask** questions anywhere in an already written notebook
  - **check** answers with an option of providing feedback
  - **handin** and store answers at a selected server location
  - **analyze** learning retention to improve notebook content

# New Features!

  - HTML and JavaScript interactive question formats

You can also:
  - Select database storage locations such as DynamoDB or Google Drive
  - Customize question format and styles with CSS

### How to Use

Install the library 

```py
[ ] !pip install litegrade
```
Import the **ask** library function

```py
[ ] from litegrade import ask
```
![alt text](https://www.justinleemorgan.com/api/litegrade/submit_button "Example use of the ask function")

Invoke the **ask** function to ask the reader a question about the notebook content

```py
[ ] ask("Recursion question")
```
![alt text](https://www.justinleemorgan.com/api/litegrade/recursion_question "Example use of the ask function")

### Development

Want to contribute to the **litegrade** project? Great!

View some of our current [issues](https://github.com/2justinmorgan/litegrade/issues) on GitHub

After pulling the **litegrade** repository, run the developer's setup script located in the project's home diretory. This will install any needed dependencies as well as create symbolic links used for testing.

```sh
$ ./dev_setup.sh
```

To run tests

```sh
$ pytest test/
```

To deploy to PyPi

```sh
$ . package/release
```
parent-map 1.1.2
Analyze parental contributions to evolved or engineered protein or DNA sequences
Requires Python: >=3.6

# Parent-map

Analyze parental contributions to evolved or engineered protein or DNA sequences

Run parent-map without arguments to start in GUI mode.
Run parent-map with arguments to start in console mode.
Run parent-map.py -h for help and list of arguments.

Install from PyPI:
````
pip install parent-map
````
Install from Bioconda:
```
conda install -c bioconda parent-map
```
Run:
```
python -m parent-map
```
Windows installer: https://sourceforge.net/projects/parent-map/

Full documentation: https://parent-map.readthedocs.io/

Discussion list: https://groups.google.com/g/parent-map

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/parent-map/README.html)

[![Download parent-map](https://a.fsdn.com/con/app/sf-download-button)](https://sourceforge.net/projects/parent-map/files/latest/download)

[![Parent-map documentation](https://img.shields.io/badge/Parent--map-Documentation-yellow)](https://parent-map.readthedocs.io/)

<div itemscope itemtype="https://schema.org/Person"><a itemprop="sameAs" content="https://orcid.org/0000-0003-0847-8095" href="https://orcid.org/0000-0003-0847-8095" target="orcid.widget" rel="me noopener noreferrer" style="vertical-align:top;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" style="width:1em;margin-right:.5em;" alt="ORCID iD icon">https://orcid.org/0000-0003-0847-8095</a></div>