semvec/pypi-packages huggingface dataset:
NERO-nlp 0.0.8
A biomedical Named Entity (Recognition) Ontology
Requires Python: >=3.6

NERO is a biomedical Named Entity (Recognition) Ontology.


Using NERO, we annotated a large biomedical corpus to enable a broad spectrum of natural language processing and
biomedical machine learning tasks.


NERO-nlp is a wrapper around this corpus.


Sample usage:


	In [3]: from NERO.corpus import corpus

	# Directly access basic dataframe attributes
	In [4]: corpus.columns 

	In [5]: corpus.shape

	# access to the whole dataframe
	In [6]: corpus._data

	# Having directly access to columns by calling them as an attribute
	In [7]: corpus.semantic_class_actionType

	In [8]:                                                                                                                                                                                                     

	# Using documentation 
	In [8]: corpus.procset_topic_bd.__doc__                                                                                                                                                        

	# other generic and multipurpose functions
	In [9]: corpus.procset_topic_bd('aut')                                                                                                                                                               

	In [10]: corpus.plot_protein_domain_entity() 



Installation:

For running the NERO-nlp you need to have python3.7+ and pandas installed. For installation you can use `pip` or `pip3` for installation. 

    # Install
	sudo pip3 install NERO-nlp
	# or
	sudo python3 -m pip install NERO-nlp
	# Upgrade
	sudo pip3 install NERO-nlp --upgrade
py2700 0.1.0
A Python package to interface with a Keithley 2700 multimeter

# Unofficial Keithley 2700 Series DMM Interface: py2700
A Python package to interface with a Keithley 2700 digital multimeter.

## Introduction
The py2700 package is designed to allow for easy access to common SCPI commands sent to the multimeter. From setting up channels, to reading data, to even writing to the display, the package allows the user to quickly and easily produce working, readable Python code to collect data from their device, and ultimately avoid being forced to pay for a license for Keithley Kickstart.

Documentation is available at: https://www.noahpaladino.com/py2700/

## Example Program
```python 
import py2700 as DMM
import time

# Connect to a Keithley 2701 over TCP/IP
my_multimeter = DMM.Multimeter('TCPIP::192.168.69.102::1394::SOCKET')

# Set the default temperature units
my_multimeter.set_temperature_units('C')

# Set the timeout in ms
my_multimeter.set_timeout(5000)

# Set Channels 101, 102, and 103 as K-type thermocouples
my_multimeter.define_channels([101,102,103],
    DMM.MeasurementType.thermocouple('K'))

# Setup for reading: 
#   This needs to be completed after channel
#   definitions and before scanning
my_multimeter.setup_scan()

# Scan the channels, given the timestamp you want 
# for the reading
result = my_multimeter.scan(time.time_ns()/(10**9))

# Print out a CSV header for the result
print(my_multimeter.make_csv_header())

# Print out a CSV row for the result
print(result.make_csv_row())

# Safely disconnect from the multimeter
my_multimeter.disconnect()
```
## Contact
Please submit an issue if you encounter a bug and please email any questions or requests to py2700@noahpaladino.com