Job-Data-Mining | This project is designed to store basic job data mining code
kandi X-RAY | Job-Data-Mining Summary
kandi X-RAY | Job-Data-Mining Summary
Job-Data-Mining is a Python library. Job-Data-Mining has no bugs, it has no vulnerabilities and it has low support. However Job-Data-Mining build file is not available. You can download it from GitHub.
This project is designed to store basic job data mining code
This project is designed to store basic job data mining code
Support
Quality
Security
License
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Support
Job-Data-Mining has a low active ecosystem.
It has 8 star(s) with 2 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Job-Data-Mining has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Job-Data-Mining is current.
Quality
Job-Data-Mining has no bugs reported.
Security
Job-Data-Mining has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Job-Data-Mining does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Job-Data-Mining releases are not available. You will need to build from source code and install.
Job-Data-Mining has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Job-Data-Mining and discovered the below as its top functions. This is intended to give you an instant insight into Job-Data-Mining implemented functionality, and help decide if they suit your requirements.
- Processes a response
- Record status code
- Insert a value into the table
- Convenience method to query rows
- Convert a list to a comma separated list
- Rank a sentence
- Rank the graph
- Adds an edge to the graph
- Convert image to CDN url
- Process the request
- Start all requests
- Get the list of failed requests
- Process request
- Encode request
- Parse task_parse
- Generate words from a string
- Main loop
- Generate a dictionary of frequency frequencies from a file
- Prepare article list
- Insert the value into the table
- Query rows
- Convert CDN to CDN
- Parse the menu from the response
- Find suspicious stop words
- Load userdict from file
- Main worker thread
- Run the worker
- Tokenize a unicode string
Get all kandi verified functions for this library.
Job-Data-Mining Key Features
No Key Features are available at this moment for Job-Data-Mining.
Job-Data-Mining Examples and Code Snippets
No Code Snippets are available at this moment for Job-Data-Mining.
Community Discussions
No Community Discussions are available at this moment for Job-Data-Mining.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Job-Data-Mining
You can download it from GitHub.
You can use Job-Data-Mining 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.
You can use Job-Data-Mining 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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