falcon | Chrome extension for full text history search | Browser Plugin library

 by   lengstrom JavaScript Version: 0.1.4 License: GPL-3.0

kandi X-RAY | falcon Summary

kandi X-RAY | falcon Summary

falcon is a JavaScript library typically used in Plugin, Browser Plugin applications. falcon has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

Chrome extension for flexible full text browsing history search. Press f, then space or tab, in the omnibar to start searching your previously visited websites!. Every time you visit a website in Chrome, Falcon indexes all the text on the page so that the site can be easily found later. Then, for example, if you type f mugwort, Falcon will show the websites you visited containing the text "mugwort"! Install from the Chrome store here or get the CRX file! (If you don't feel comfortable with that, look at Transparent Installation). Programmed by @andrewilyas and @lengstrom, art by Lucia Liu.
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              falcon has a medium active ecosystem.
              It has 1782 star(s) with 95 fork(s). There are 42 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 26 open issues and 35 have been closed. On average issues are closed in 5 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of falcon is 0.1.4

            kandi-Quality Quality

              falcon has 0 bugs and 0 code smells.

            kandi-Security Security

              falcon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              falcon code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              falcon 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

              falcon releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.
              falcon saves you 95 person hours of effort in developing the same functionality from scratch.
              It has 243 lines of code, 0 functions and 13 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed falcon and discovered the below as its top functions. This is intended to give you an instant insight into falcon implemented functionality, and help decide if they suit your requirements.
            • Removes the characters from a string
            • Returns the argument for a matching regexp
            • Parse a query for suggestions .
            • Displays suggestions to the user
            • Initialize window storage
            • make a search query for suggestions
            • Saves the preferences
            • Checks the data to see if it should be processed
            • Add a row to the history table
            • Escapes characters in a string .
            Get all kandi verified functions for this library.

            falcon Key Features

            No Key Features are available at this moment for falcon.

            falcon Examples and Code Snippets

            No Code Snippets are available at this moment for falcon.

            Community Discussions

            QUESTION

            Formatting Phone number with +1 with pandas.Series.replace
            Asked 2022-Mar-17 at 17:47

            I can't find a solution online and I know this should be easy but I can't figure out what is wrong with my regex:

            here is my code:

            ...

            ANSWER

            Answered 2022-Mar-17 at 17:34

            You can use .str.extract, convert each row of results to a list, and then use .str.join (and of course concatenate a + at the beginning):

            Source https://stackoverflow.com/questions/71516642

            QUESTION

            Why does np.select not allow me to put in index above total length into choicelist?
            Asked 2022-Mar-15 at 23:36

            I am trying to get the first value of the the list in each row of df['Emails'] but in real life (this is a sample df) I don't know what the length of the list will be so I am just assuming that the longest will be length of 5 and then trying to whittle it down until I find the right length and selecting that index position but I am getting IndexError: index 5 is out of bounds for axis 0 with size 2 and I can't figure out what to do about it. Any help appreciated. Thanks.

            my current code:

            ...

            ANSWER

            Answered 2022-Mar-15 at 23:36

            Whenever you have a column containing lists, explode will often be your friend, and this is the case here.

            Use explode, groupby(level=0) (to group on the 0th (first) level of the index), and first (which selects the first non-null value (including None, NaN, etc.))

            Source https://stackoverflow.com/questions/71489937

            QUESTION

            Mapping complex JSON to Pandas Dataframe
            Asked 2022-Feb-25 at 13:57

            Background
            I have a complex nested JSON object, which I am trying to unpack into a pandas df in a very specific way.

            JSON Object
            this is an extract, containing randomized data of the JSON object, which shows examples of the hierarchy (inc. children) for 1x family (i.e. 'Falconer Family'), however there is 100s of them in total and this extract just has 1x family, however the full JSON object has multiple -

            ...

            ANSWER

            Answered 2022-Feb-16 at 06:41

            I think this gets you pretty close; might just need to adjust the various name columns and drop the extra data (I kept the grouping column).

            The main idea is to recursively use pd.json_normalize with pd.concat for all availalable children levels.

            EDIT: Put everything into a single function and added section to collapse the name columns like the expected output.

            Source https://stackoverflow.com/questions/71104848

            QUESTION

            Using a list of models to make predictions over a list of results using lapply in R
            Asked 2022-Feb-16 at 01:07

            I have a large list of models that I built using lapply with the following code (these lists are too long to show the whole data but I used the corresponding code to set the models up):

            ...

            ANSWER

            Answered 2022-Feb-16 at 01:07

            You need an iterator to move through both the models and the new data. Instead of moving through the models, make it an iterator.

            Source https://stackoverflow.com/questions/71133169

            QUESTION

            How can I destructure my array of multiple objects
            Asked 2022-Jan-21 at 04:53
              [
                0: {_id: '61de38eb6ea1563609e1d0a7', title: 'FALCON SR SUNTOUR', price: '59', description: ' Alloy.., …}
                1: {_id: '61d7a8b885c68311be8dd1b3', title: 'Lifelong LLBC2702 Falcon', price: '59', description: 'Low Maintenance: High.., …}
                ] 
            
            ...

            ANSWER

            Answered 2022-Jan-21 at 04:38

            You cannot call map on each order item as it is an object. To iterate over them use Object.entries method.

            Try like below

            Source https://stackoverflow.com/questions/70786357

            QUESTION

            How to group rows in pandas without groupby?
            Asked 2021-Dec-24 at 23:03

            I have the following Pandas DataFrame and I am trying to group animals according to their class. I know I can use groupby to get a faster result. However, I was thinking if there was a way to replicate the groupby function by iterating over the rows.

            ...

            ANSWER

            Answered 2021-Dec-24 at 20:33

            You don't really need a loop for any of this. First get a list of the unique elements:

            Source https://stackoverflow.com/questions/70476324

            QUESTION

            Can I get the value of the grouped column in groupby apply?
            Asked 2021-Nov-25 at 20:28

            Can I get the value of grouped column in apply in pandas groupby? For example,

            ...

            ANSWER

            Answered 2021-Nov-25 at 14:44

            QUESTION

            Need To Perform a Merge in Pandas Exactly Like VLOOKUP
            Asked 2021-Nov-25 at 17:10

            I have a spreadsheet of fantasy players and their individual game stats. What I would like to add is a column that lists the Vegas Line of that individual game.

            I'm merging from the below spreadsheet:

            ...

            ANSWER

            Answered 2021-Nov-24 at 20:43

            Try changing x.lstrip('at') to x.lstrip('at ')

            Source https://stackoverflow.com/questions/70100487

            QUESTION

            R: split-apply-combine for geographic distance
            Asked 2021-Nov-17 at 17:53

            I have downloaded a list of all the towns and cities etc in the US from the census bureau. Here is a random sample:

            ...

            ANSWER

            Answered 2021-Nov-12 at 22:48

            I have such a solution. And I'm surprised myself that I used two loops for!! Incredibly, I did it. First things first.

            My proposal is based on a simplification. However, the mistake you will make at short distances will be relatively small. But the time gain is huge!

            Well, I propose to count the distance in Cartesian coordinates, not spherical.

            So we're going to need a simple function that computes the Cartesian coordinates based on the two arguments latitude and longitude. Here is our LatLong2Cart feature.

            Source https://stackoverflow.com/questions/69915845

            QUESTION

            How to add a percentage computation in pandas result
            Asked 2021-Nov-11 at 12:00

            I have the following working code. I need to add a percentage column to monitor changes. I dont know much on how to do it in pandas. I need ideas on what part needs to be modified.

            ...

            ANSWER

            Answered 2021-Nov-09 at 18:18

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

            Vulnerabilities

            No vulnerabilities reported

            Install falcon

            If you don't feel comfortable installing a Chrome extension that can read and modify all data on the websites you visit from the webstore (we wouldn't either!), you can clone it on your local machine, read through our code to verify that it is not malicious, and then install it as an unpacked local extension through the menu in chrome://extensions/. This way you also won't receive any automatic updates, as well.

            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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            CLONE
          • HTTPS

            https://github.com/lengstrom/falcon.git

          • CLI

            gh repo clone lengstrom/falcon

          • sshUrl

            git@github.com:lengstrom/falcon.git

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