keyword-search | possibly unknown ) keywords | Search Engine Optimization library

 by   roberto1648 Python Version: Current License: GPL-3.0

kandi X-RAY | keyword-search Summary

kandi X-RAY | keyword-search Summary

keyword-search is a Python library typically used in Search Engine Optimization, Ethereum applications. keyword-search has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However keyword-search build file is not available. You can download it from GitHub.

Find (possibly unknown) keywords associated to other (known) keywords.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              keyword-search has a low active ecosystem.
              It has 6 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              keyword-search has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of keyword-search is current.

            kandi-Quality Quality

              keyword-search has no bugs reported.

            kandi-Security Security

              keyword-search has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              keyword-search is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              keyword-search releases are not available. You will need to build from source code and install.
              keyword-search has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed keyword-search and discovered the below as its top functions. This is intended to give you an instant insight into keyword-search implemented functionality, and help decide if they suit your requirements.
            • Extract keyphrases from text
            • Build an undirected graph from the given nodes
            • Computes the distance between two characters
            • Removes whitespace from the text
            • Run Google Images search
            • Return the keyword s keywords
            • Returns a list of all iteration information
            • Get time of last search
            • Remove the selected keyword
            • Promote a single keyword
            • A helper method for removing keywords
            • Called when a button is pressed
            • Return a list of keywords
            • Closes the image in the browser
            • Opens a popup
            • Pause the widget
            • Set the center of the region
            • Scrape the website
            • Add text to database
            • Update the panel
            • Run tokenizer
            • Extract sentences from text
            • Update the panel
            • Called when a touch is clicked
            • Move the selected widget to the parent
            • Unselect the selected button
            Get all kandi verified functions for this library.

            keyword-search Key Features

            No Key Features are available at this moment for keyword-search.

            keyword-search Examples and Code Snippets

            Test Keyword search .
            pythondot img1Lines of Code : 14dot img1License : Permissive (MIT License)
            copy iconCopy
            def test_search():
                skip_list = SkipList()
            
                skip_list.insert("Key2", 20)
                assert skip_list.find("Key2") == 20
            
                skip_list.insert("Some Key", 10)
                skip_list.insert("Key2", 8)
                skip_list.insert("V", 13)
            
                assert skip_list.find("Y"  

            Community Discussions

            QUESTION

            Is it possible to queue more than one context.load before context.sync?
            Asked 2020-May-21 at 23:01

            I have a paragraphObjects of Word's paragraph objects. I have keywordRanges of indexes of some paragraphs and keywords. I have another array of keywords that I want to search and highlight in the document.

            The issue is - the keyword search is linear. I have to load and sync the search result of each keyword. So if one keyword search takes ~300 ms, 15 search would take ~4500 seconds. I want to execute all keyword-search load-sync operations in parallel, so I get all the results in ~300 ms, independent of the size of the keywords array.

            The code sample is below:

            ...

            ANSWER

            Answered 2017-Jun-09 at 15:17

            Yes, queueing multiple operations in one sync is part and parcel of the batching model of the Office 2016+ wave of APIs.

            To take a very simple Excel example:

            Source https://stackoverflow.com/questions/44459604

            QUESTION

            Is there a way to search for more than one keyword in a search bar in JSoup?
            Asked 2020-Jan-27 at 18:21

            Java Code for one keyword-search

            ...

            ANSWER

            Answered 2020-Jan-27 at 18:21

            You don't have to do anything special. Just type your query directly with a space:

            Source https://stackoverflow.com/questions/59934169

            QUESTION

            Order by best match in eloquent
            Asked 2019-Jun-13 at 06:14

            I have some results which I get from the eloquent query, and I want to order them by best match. How can I do it in laravel eloquent?

            here I found some solution in SQL, but I could not use it in the eloquent builder.

            ...

            ANSWER

            Answered 2019-Jun-13 at 05:19

            Yes as suggested, you can use orderByRaw() So your query would be transformed Like:

            Source https://stackoverflow.com/questions/56573629

            QUESTION

            Bootstrap Collapse columns not aligning properly on click
            Asked 2018-Feb-08 at 20:58

            I am creating two separate keyword search options using Bootstrap collapse. The alignment of the collapse items look correct until you click, "Keyword Search." When the collapse is open on "Keyword Search," then the "Affiliation Search" collapse button moves to the right corner of the page. How do I make it so that the second bootstrap collapse button stays below the first bootstrap collapse button?

            ...

            ANSWER

            Answered 2018-Feb-08 at 20:58

            Change col-md-* to col-sm-*/col-xs-*, it will stop misalignment. But the problem you are mentioning about, Affiliation Search moving to right, I don't see that happen.

            It's right below the first dropdown.

            Correct me, if I'm not understanding your question.

            Source https://stackoverflow.com/questions/48693169

            QUESTION

            How to implement a keyword Search for specific words in MySQL?
            Asked 2017-Mar-15 at 21:17

            I have a table called BIO with some biological description that I want to query for keywords in mysql. For example I want to query for "LTR", so I used the code:

            ...

            ANSWER

            Answered 2017-Mar-15 at 21:17

            This is a bit tricky. But for your examples, the following will work:

            Source https://stackoverflow.com/questions/42820730

            QUESTION

            Relation Index Entities and Projections Query
            Asked 2017-Mar-01 at 18:06

            I am designing google datastore schema for the classic 'User Posts' and 'Tags' questions.

            This page suggests Relation Index Entities model. Basically it puts searchable tags or keywords as list property in child entity for filtering, and the necessary properties in parent entity. To my understanding, this approach is to reduce serialization overhead at query time.

            ...

            ANSWER

            Answered 2017-Mar-01 at 18:06
            1. The Relation Index Entity solution reduces the serialization overhead at any type of access to the Post entities, including ops like key.get(), `entity.put() or fetching non-projection queries, while projection queries only do that for, well, fetching the respective query results.

            2. Yes, queries are a bit more difficult. For your example you'll need separate queries, one for each entity kind.

            The example assumes using ndb, not db:

            Source https://stackoverflow.com/questions/42523602

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

            Vulnerabilities

            No vulnerabilities reported

            Install keyword-search

            You can download it from GitHub.
            You can use keyword-search 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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/roberto1648/keyword-search.git

          • CLI

            gh repo clone roberto1648/keyword-search

          • sshUrl

            git@github.com:roberto1648/keyword-search.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Search Engine Optimization Libraries

            Try Top Libraries by roberto1648

            churn-prediction-with-pyspark-and-keras

            by roberto1648Jupyter Notebook