Javelin | embedded language | Interpreter library

 by   kimtg Java Version: Current License: No License

kandi X-RAY | Javelin Summary

kandi X-RAY | Javelin Summary

Javelin is a Java library typically used in Utilities, Interpreter applications. Javelin has no bugs, it has no vulnerabilities and it has low support. However Javelin build file is not available. You can download it from GitHub.

Javelin is a dialect of Lisp. It is designed to be an embedded language (minimal Lisp for the Java Virtual Machine). It uses Clojure-like syntax.

            kandi-support Support

              Javelin has a low active ecosystem.
              It has 30 star(s) with 2 fork(s). There are 6 watchers for this library.
              It had no major release in the last 6 months.
              Javelin has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Javelin is current.

            kandi-Quality Quality

              Javelin has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Javelin 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.

            kandi-Reuse Reuse

              Javelin releases are not available. You will need to build from source code and install.
              Javelin 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.
              Javelin saves you 762 person hours of effort in developing the same functionality from scratch.
              It has 1756 lines of code, 97 functions and 8 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Javelin and discovered the below as its top functions. This is intended to give you an instant insight into Javelin implemented functionality, and help decide if they suit your requirements.
            • The main entry point
            • Read a single token
            • Escape a string
            • Parse a string into an object
            • Invoke the function
            • Arg is a comma - separated
            • Expand macros
            • Evaluate a value
            • Writes the string to the file
            • Compares two arguments
            • Returns a string representation of this symbol
            Get all kandi verified functions for this library.

            Javelin Key Features

            No Key Features are available at this moment for Javelin.

            Javelin Examples and Code Snippets

            No Code Snippets are available at this moment for Javelin.

            Community Discussions


            Plot seaborn boxplot for multiple columns and compare with a standard scale
            Asked 2021-May-14 at 05:30

            I am a newbie in data analysis. I wish to know how to boxplot multiple columns (x-axis = Points, Score, Weigh) in a single graph and make the y-axis as a standardized scale for comparison. I have tried and couldn't understand the code (Python+Pandas+Seaborn) for this. Help me out guys. The dataset for the same is as follows:

            Cars Points Score Weigh 0 Mazda RX4 3.90 2.620 16.46 1 Mazda RX4 Wag 3.90 2.875 17.02 2 Datsun 710 3.85 2.320 18.61 3 Hornet 4 Drive 3.08 3.215 19.44 4 Hornet Sportabout 3.15 3.440 17.02 5 Valiant 2.76 3.460 20.22 6 Duster 360 3.21 3.570 15.84 7 Merc 240D 3.69 3.190 20.00 8 Merc 230 3.92 3.150 22.90 9 Merc 280 3.92 3.440 18.30 10 Merc 280C 3.92 3.440 18.90 11 Merc 450SE 3.07 4.070 17.40 12 Merc 450SL 3.07 3.730 17.60 13 Merc 450SLC 3.07 3.780 18.00 14 Cadillac Fleetwood 2.93 5.250 17.98 15 Lincoln Continental 3.00 5.424 17.82 16 Chrysler Imperial 3.23 5.345 17.42 17 Fiat 128 4.08 2.200 19.47 18 Honda Civic 4.93 1.615 18.52 19 Toyota Corolla 4.22 1.835 19.90 20 Toyota Corona 3.70 2.465 20.01 21 Dodge Challenger 2.76 3.520 16.87 22 AMC Javelin 3.15 3.435 17.30 23 Camaro Z28 3.73 3.840 15.41 24 Pontiac Firebird 3.08 3.845 17.05 25 Fiat X1-9 4.08 1.935 18.90 26 Porsche 914-2 4.43 2.140 16.70 27 Lotus Europa 3.77 1.513 16.90 28 Ford Pantera L 4.22 3.170 14.50 29 Ferrari Dino 3.62 2.770 15.50 30 Maserati Bora 3.54 3.570 14.60 31 Volvo 142E 4.11 2.780 18.60

            My output should look something like: Output Boxplot Graph



            Answered 2021-May-14 at 04:20

            boxplot = df.boxplot(column=['Points', 'Score', 'Weight'])

            might work here

            Source https://stackoverflow.com/questions/67528790


            Could I get the choices of a SelectInput in the ui from a reactive function in server? (RShiny)
            Asked 2021-Apr-08 at 07:48

            I have created a reactive function in the server to get a list of elements. The idea is to show each element of the list as a individual choice in the ui, just like selectInput does in the ui.

            I wrote an example with mtcars.



            Answered 2021-Apr-08 at 07:48

            Generate the selectInput on the server side.

            Source https://stackoverflow.com/questions/66999429


            How to sample a data.frame to minimise correlation between selected columns?
            Asked 2021-Mar-20 at 15:12

            I am trying to subsample a data.frame in a way that the sample would have observations that capture as much variation as possible among a set of columns of the original data.frame.

            An example with the mtcars dataset: I'd like to find 3 cars that are the most different from each other by mpg, vs and carb. Looking at the data visually, it would probably be Toyota Corolla (high mpg, vs 1, low carb), Cadillac Fleetwood (low mpg, vs 0, medium carb) and either Maserati Bora (low-med mpg, vs 0, high carb) or Ferrari Dino (medium mpg, vs 0, med-high carb):



            Answered 2021-Mar-20 at 15:12

            I am not exactly sure if this is what you are looking for, but here it goes:

            1. calculate a distance matrix, giving you information about how "far away" each car is from all other cars, based on all the attributes they have (the default for dist() is eucledian, which you can change).

            2. Then take the rowsums or colsums (same thing) from that matrix, which just sums up for each car what the combined distance to all other cars is.

            3. Then isolate those cars with the biggest distances (here, we want 3 cars)

            4. Finally subset your dataframe to only include those cars:

            Source https://stackoverflow.com/questions/66675917


            Recode dataframe values: each column has its individual lookup table
            Asked 2021-Mar-02 at 04:23

            I have a data frame with several columns and I want to recode values. Each column has its individual set of recoding rules, given in a table of original <=> replacement mapping (each table is specific to each column).

            I'm trying to come up with a programmatic solution that will allow me to functionize such recoding procedure.


            The objects I'm given

            • data
            • table storing information about per-column recoding instructions


            Answered 2021-Mar-01 at 19:20

            I think Map is a good candidate here:

            Source https://stackoverflow.com/questions/66427658


            Reorder SQL Server table
            Asked 2021-Feb-20 at 12:15

            Due to lack of funds (till subscriptions can be taken again) we cannot pay for a developer to correct the way results are displayed in some query/searches.

            What happens in these cases is that the order in which the rows are stored in displayed for the user.

            Requirement As an interim - carry out the AlphaNumeric reorder the table of results so that the positions of each even is in Aplhanumerical order 1 to 10 then 11 and larger numbers below followed by alphabetical letters.

            This is an example of how it can appear



            Answered 2021-Feb-20 at 12:15

            Pos column seems to be alphnumeric so numbers will not sort by value.

            Try below

            Source https://stackoverflow.com/questions/66291086


            using `pmap` with `dplyr::filter`
            Asked 2021-Jan-30 at 08:17

            Let's say I want to apply the same function (dplyr::filter) on the same dataset with different filtering conditions.

            I can use pmap here to give a list of arguments in .l and the function I want to run in .f. The arguments to filter are .data (which I have specified), and it works with one condition, as expected:



            Answered 2021-Jan-30 at 08:17

            If you are expecting 2 data frames, then using pmap with list(mtcars) is not the correct approach. As suggested by @GregorThomas, map is what you want to use instead. The element of your code that changes is the values that you would like to use for filtering, so this is what you should "map" instead:

            Source https://stackoverflow.com/questions/65956149


            Recode dataframe values to NA per column
            Asked 2021-Jan-27 at 10:20

            How to recode some dataframe values to NA if they don't appear in a separate vector?

            More specifically, how to approach such task when:

            • each data column to clean has its specific set of "valid" values to keep, independent of other columns
            • column-specific values are given in a separate table (as vectors nested in a list-column in a tibble)
            • My data to clean up is my_mtcars
            • I want to clean up certain columns (cars, gear, and carb)
            • In each of those columns, I want to keep only certain values as they are specified in a separate table table_valid_values under valid_values. Otherwise, values not specified as "valid" should turn to NA.
            • For any column of my_mtcars that does not appear in table_valid_values, no cleanup is needed.


            Answered 2021-Jan-27 at 10:20

            You could use dplyr as :

            Source https://stackoverflow.com/questions/65916731


            How to read a setdiff of data frames in R?
            Asked 2020-Dec-03 at 03:27

            I am struggling to actually use the results of a setdiff on two data frames (it makes sense to me as a vector, but not as much for data frames).




            Answered 2020-Dec-03 at 03:27

            I think the output you are looking for is closer to what dplyr::anti_join provides

            Source https://stackoverflow.com/questions/65118125


            Extracting all name-elements from a JsonObject
            Asked 2020-Nov-29 at 18:18

            I am having trouble extracting the proper information from my JsonObject. Currently, I'm receiving this type of String from a Web API:



            Answered 2020-Nov-29 at 17:45

            This is what you want:

            Source https://stackoverflow.com/questions/65062988


            Facing issue in aligning the overall content when it is responsive
            Asked 2020-Nov-03 at 14:14

            I am following an in-line style method to develop this layout. When I make it responsive, the body and footer content is not getting aligned. As you can see in the image shared on the link, contents are not well aligned when it is responsive:

            and here's my code



            Answered 2020-Nov-03 at 14:14

            There were a few things (I think) was wrong with your HTML.

            1. Body of the mobile device was set to 400px
            2. content was set to 400px

            I have added a new class container to change the width of the outer table on mobile devices.

            Below is the update code.

            Source https://stackoverflow.com/questions/64461046

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


            No vulnerabilities reported

            Install Javelin

            You can download it from GitHub.
            You can use Javelin like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Javelin component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .


            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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