pemi | Python Extract Modify Integrate | Natural Language Processing library

by inside-track Python Version: 0.5.11 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pemi Summary

pemi is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. pemi has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pemi' or download it from GitHub, PyPI.

Python Extract Modify Integrate

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Quality

Security

License

Reuse

Support

pemi has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

pemi has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pemi is 0.5.11

Quality

pemi has no bugs reported.

Security

pemi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pemi is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pemi releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed pemi and discovered the below as its top functions. This is intended to give you an instant insight into pemi implemented functionality, and help decide if they suit your requirements.

Build a pandas DataFrame
Create fake series for a given column
Build a dataframe from markdown
Clean up markdown
Configure the schema
Add a source to the pipeline
Add a target to the pipeline
Provide default configuration
Set to_pipe_name to_pipe_name
Load data from pandas dataframe
Add the lookup columns to the given lkp df
Deploy twine to twine
Run test
Connect two DataFrames
Package python package
Concatenate the main dataframe
Convert to Pandas DataFrame
Upgrade requirements
Compile requirements
Creates a pipe connection
Add source to the pipeline
Configure fixtures
Build options for csv
Run pylint
Set the main dataframe
Update the main dataframe

Get all kandi verified functions for this library.

pemi Key Features

No Key Features are available at this moment for pemi.

pemi Examples and Code Snippets

No Code Snippets are available at this moment for pemi.

Community Discussions

Trending Discussions on pemi

using a DelayedExpansion index variable for an array within an IF statement fails

QUESTION

using a DelayedExpansion index variable for an array within an IF statement fails

Asked 2018-May-17 at 22:25

I have a batch file where I am displaying all *.pem files in a directory, giving the user an option to choose one, and at this time just trying to show the user what file they picked by using the number they chose to ECHO the contents of the array. I believe that somehow because it is inside of the IF statement, the index variable "selectedPem" is not expanding in the array's index brackets because it is using the % and not using the delayed expansion !, which doesnt appear to work in the array's index brackets. I think this because if I set the "selectedPem" variable before the IF statement, it ECHOs properly. I think the only option for this to work is to somehow make use of a subroutine. Why is selectedPem variable not working inside of the IF statement?

...

ANSWER

Answered 2018-May-17 at 17:20

With some goto's you can avoid most (code blocks).

In cases where this is not possible use the ! and an alternative delayed expansion with a call and doubled %% properly.

Untested:

Source https://stackoverflow.com/questions/50396804

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pemi

You can install using 'pip install pemi' or download it from GitHub, PyPI.
You can use pemi like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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