semvec/pypi-packages huggingface dataset:
django-customize-history1 1.0.8
Store model history and view/revert changes from admin site.
License: MIT
Keywords: Django Customize History

#django-customise-history
========================

**django-customise-history** is customise history feature which is used to show the old and new value of model's change field in history action of admin panel.

------------
Installation
------------

Just use:

::

    pip install django-customise-history

Setup
=====

Add **django_customise_history** to **INSTALLED_APPS** in your settings.py, e.g.:

::

    INSTALLED_APPS = [
    ...
    'django_customise_history',
    ...


Usage
=====

Inherit from **DjangoCustomHistory** to get the custom history feature.

admin.py e.g.:

::

    
    from django.contrib import admin
    from .models import ExampleModel
    from django_customize_history.admin import DjangoCustomHistory
    
    @admin.register(ExampleModel)
    class ExampleModelAdmin(DjangoCustomHistory, admin.ModelAdmin):
        ...

Screenshot
=====
Here is screenshot of django-customize-history

![alt text](https://raw.githubusercontent.com/mayur-softices/djnago-customize-history/main/docs/_static/Change-history-CrudUser-object-5-Django-site-admin.png)
FilePyle 0.1.5
An URL file downloader which can download files over internet concurrently. Made in pure python.
License: MIT

![issues_badge](https://img.shields.io/github/issues/777advait/FilePyle?style=plastic)
![forks_badge](https://img.shields.io/github/forks/777advait/FilePyle?style=plastic)
![stars_badge](https://img.shields.io/github/stars/777advait/FilePyle?style=plastic)
![license_badge](https://img.shields.io/github/license/777advait/FilePyle?style=plastic)
## FilePyle
An URL file downloader made in python.

- FilePyle is an URL downloader just like `curl` and `wget` made in python.
- **What's different?** Unlike other URL downloaders `filepyle` can download multiple files cocurrently at the same time through a single command.
- Syntax - `filepyle --url <first_url> --url <second_url> --path <path/where/files/will/be/downloaded>`

> Author - Advait Jadhav

## Installation

### **PyPi**

FilePyle is available on PyPi. You can download it using the following command
> `pip install FilePyle`

### **Setuptools**

1. Download or clone the repository.
> `git clone https://github.com/777advait/FilePyle/`
2. Install the dependencies.
> `pip install -r requirements.txt`
3. Install the package.
> `python setup.py install`
4. Done! Now you can use filepyle.
> `filepyle --url <first_url> --url <second_url> --path <path/where/files/will/be/downloaded>`

## How To Use
```sh
filepyle --url <first_url> --url <second_url> --path <path/where/files/will/be/downloaded>
```

- A working example
![image](https://user-images.githubusercontent.com/76993204/157815961-aaed93ba-e9f1-49a2-984b-c9bd4f693b2e.png)

## Patch Notes
#### **Patch 0.1.0**
- Released on GitHub as `PyLoad`.

#### **Patch 0.1.1**
- Re-released on GitHub as `FilePyle`(**Pyload** name was already taken).

#### **Patch 0.1.2**
- Enabled downloading large files.

#### **Patch 0.1.3**
- Enabled downloading multiple files concurrently.

#### **Patch 0.1.4**
- Fixed progress bar glitch.

#### **Patch 0.1.5**
- Minor code improvements.
craft-reconstruct 1.0.0
An Iterative Reconstruction Algorithm for Faraday Tomography.
License: MIT
Requires Python: >=3.6.0


# CRAFT: Constraining and Restoring iterative Algorithm for Faraday Tomography

A python 3 implementation of the CRAFT technique described in [Cooray et al. 2020](https://doi.org/10.1093/mnras/staa3580). The techniques takes in an observed complex linear polarization spectrum that is limited in frequency to produce a reconstructed spectrum. If you make use of this code, please cite the above mentioned paper.

### Installation

Install using pip:
```
pip install git+https://github.com/suchethac/craft
```
Or, clone this directory and install locally:
```
git clone https://github.com/suchethac/craft
cd craft/
pip install .
# - OR -
python setup.py install
```

### Usage

Use as a module by `import craft`.

For learning how to use this code, I have uploaded a demo python notebook. Additional documentation will be available in due time.

If you have any questions, please contact Suchetha Cooray at cooray{at}nagoya-u.jp

### Reference
Suchetha Cooray, Tsutomu T Takeuchi, Takuya Akahori, Yoshimitsu Miyashita, Shinsuke Ideguchi, Keitaro Takahashi, Kiyotomo Ichiki, *An Iterative Reconstruction Algorithm for Faraday Tomography, Monthly Notices of the Royal Astronomical Society*, Volume 500, Issue 4, February 2021, Pages 5129–5141, <https://doi.org/10.1093/mnras/staa3580>