semvec/pypi-packages huggingface dataset:
django_medicio_ds 3.1.0
my demiansoft templates

### django-medicio-ds

#### Introduction 
demiansoft homepage templates


---
#### Requirements

Django >= 4.2.11
libsass>=0.23.0
django-analyticsds >= 0.3.1
django-calendards >= 0.4.0
django-modalds >= 0.1.0
django-utilsds >= 0.6.0


---
#### Install

settings.py  
```  
INSTALLED_APPS = [    
    'django_analyticsds',  
	'django_utilsds',  
	'django_calendards',  
	'django_modalds', 
	
	'django_medicio_ds',
]

...

STATICFILES_DIRS = [
    os.path.join(BASE_DIR, '_static/'),
]

MEDIA_URL = '/media/'  
MEDIA_ROOT = os.path.join(BASE_DIR, 'media/')  
X_FRAME_OPTIONS = 'SAMEORIGIN'  
  
STATIC_ROOT = os.path.join(BASE_DIR, 'staticfiles') 

```

in the shell
```
>> pip install django-medicio-ds
>> python manage.py makemigrations django_calendards django_modalds
>> python manage.py migrate
>> python manage.py createsuperuser
```


urls.py
```
from django.contrib import admin  
from django.urls import path, include  
from django.conf import settings  
from django.conf.urls.static import static  
  
urlpatterns = [  
    path('admin/', admin.site.urls),  
    path('', include('django_medicio_ds.urls')),  
] + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)
```

---
#### Composition

프로젝트 내의 \_data 폴더 안에 herobizds.py 파일을 생성하고 다음과 같은 형식으로 작성한다.(예제 파일 참조)

```
context = {
}

context.update(base)
context.update(seo)
context.update(header)
context.update(hero)
context.update(featured_services)
context.update(about)
context.update(counts)
context.update(cta)
context.update(appointment)
context.update(features)
context.update(departments)
context.update(services)
context.update(testimonials)
context.update(pricing)
context.update(faq)
context.update(gallery)
context.update(doctors)
context.update(contact)
context.update(footer)

```
---
rf-survey 0.1
An open source tool for measuring baseline radio frequency interference
Requires Python: >=3.8

# Radio Frequency (RF) Noise Survey

## Quick Start Guide
Welcome to the RF Noise Survey, an open source tool for measuring baseline radio frequency interference. These surveys are designed to be run on a Raspberry Pi 4 connected to an Ettus Research B200mini Universal Software Radio Peripheral (USRP) Software Defined Radio (SDR).

The code can be downloaded with 
```
pip install rf-survey==0.0.1
```

These surveys can be run from the command in Linux or via the RF Survey GUI. An example command line basic survey is:
```
nohup python3 /home/pi/rf_survey/sweeps.py -f1 915000000 -b 26000000 -s 2                                                                                                                                  6000000 -g 35 -r 1 -t 10 -c 0  -o ucb_db_test -gcs 40N105W &
```

The GUI can be run on Mac or Linux, not currently supported for Windows:
```
cd RF_survey
conda create -n GUI
conda activate GUI
cd GUI
python rf_survey_gui_v4.4.1.py
```

## Introduction
Developed by the WIRG lab at the University of Colorado Boulder under NSF [SWIFT](https://new.nsf.gov/funding/opportunities/spectrum-wireless-innovation-enabled-future/505858), the RF noise survey measures RF interference in order to better enable active and passive spectrum sharing. As described in this paper published at IEEE Aerospace 2023, ["Testbed for Radio Astronomy Interference Characterization and Spectrum Sharing Research"](https://www.aeroconf.org/cms/content_attachments/75/download), this code has been deployed and tested at the [Hat Creek Radio Observatory](https://www.seti.org/hcro). 

![An image overview of the RF Baseline Noise Survey Collection.](/rf_survey/images/RF_Noise_Survey.png)

Figure 1-1 depicts a conceptual overview of the RF Baseline Noise Survey Collection. A) An illustration of the Fourier decomposition of a signal in the time domain, to the frequency domain. The filled blue area represents the baseline noise-floor - and the goal of the data collection is to establish the power levels of this floor in both low energy and high noise environments. B) The noise floor is influenced by a multitude of sources: from natural sources of RF Energy such as lightning and cosmic noise to C) intentional and unintentional manmade noise from various electrical devices. . D) The RF Baseline Noise Survey System architecture consists of multiple software defined radio nodes used for the collection of RF spectrum data and a central server for processing and storing the incoming data. E) Finally, local topography has a significant effect on signal propagation and therefore the noise floor. 

The primary methods of measuring RF interference with this survey are through power and spectral kurtosis collected from the Streamer class.

| Code      | High Level Functionality |  |
| ----------- | ----------- | ----- |
| Survey/Record      |        | |
|    |          | |

## Modules

## Methods
force-kwargs 0.101
A simple decorator to force kwargs. Doing so provides readability to the function signature.

# force_kwargs

A simple Python decorator to enforce the use of keyword arguments in functions, limiting the number of positional arguments allowed.

## Installation

`pip install force_kwargs`

## Usage

Import the `force_kwargs` function and use it as a decorator on your functions to limit the number of positional arguments that can be passed.

You can specify the number of allowed positional arguments with the `n_allowed_args` parameter.

### Example

```python
from force_kwargs import force_kwargs

@force_kwargs(n_allowed_args=2)
def add(a, b, do_print):
	res = a + b
	if do_print:
		print(res)
	return res

add(1, 2, do_print=True)  # `3`.
add(1, 2, False)  # SyntaxError.
```

## License

No License since this code is extremely basic.

Feel free to do what ever you want with this code.

:D

## V0.101 released on 22th/5/2024
should now be installable??
primer-paquete-jmbv 0.0.1
El primer paqquete de Python que he creado

# Documentación de mi primer paquete

1. crear README.md
2. crear LICENSE.txt
   1. entrar en [esta página](https://choosealicense.com/)
   2. elegir una licencia (por ejemplo [MIT License](https://choosealicense.com/licenses/mit/))
   3. copiarla y pegarla en LICENSE.txt
3. crear setup.py