kalk | expression evaluator written in rust that supports variables | Apps library

 by   PaddiM8 Rust Version: v0.3.14 License: MIT

kandi X-RAY | kalk Summary

kandi X-RAY | kalk Summary

kalk is a Rust library typically used in Apps applications. kalk has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Kalk is a calculator (both program and library) that supports user-defined variables, functions, derivation, and integration. It runs on Windows, macOS, Linux, Android, and in web browsers (with WebAssembly).

            kandi-support Support

              kalk has a low active ecosystem.
              It has 137 star(s) with 6 fork(s). There are 2 watchers for this library.
              It had no major release in the last 12 months.
              There are 1 open issues and 14 have been closed. On average issues are closed in 53 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of kalk is v0.3.14

            kandi-Quality Quality

              kalk has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              kalk is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              kalk releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.
              It has 227 lines of code, 1 functions and 18 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            kalk Key Features

            No Key Features are available at this moment for kalk.

            kalk Examples and Code Snippets

            No Code Snippets are available at this moment for kalk.

            Community Discussions


            R: Passing multiple dataframe columns to dplyr::case_when() as condition while using column title as replacement
            Asked 2021-Nov-25 at 20:38

            I want to pass all values in a dataframe as condition to dplyr::case_when() with stringr::str_detect() while using the respective column title als replacement value.

            I have these two data frames:



            Answered 2021-Nov-25 at 20:38

            I'm not 100% sure the output you're looking for. However, I believe this is a step in the right direction. Rather than looping over the district values and checking for matches, I propose melting the district_stack data and joining that new df to the city names using a fuzzy string match.

            That is what I understand is happening in the loop. You then have a dataframe in which you can replace the city value using if_else more easily.

            I drew inspiration from this thread: dplyr: inner_join with a partial string match

            Source https://stackoverflow.com/questions/70116052


            Specific transpose of my pandas Dataframe
            Asked 2021-Oct-25 at 08:49

            I have a dataframe that I would like to transpose in a certain way, in which the "attr" column values become columns instead of values, while price stays as a column.

            I have tried to group the columns and transpose it, but haven't found a way to get where I wanted. This is my dataset:



            Answered 2021-Oct-25 at 08:35
            # produce data
            df = pd.DataFrame(data=[
                ("Mærke", "Knauf Insulation", 24.95),
                ("Produkttype", "Bygningsisolering", 24.95), 
                ("Serie", "SPACE", 24.95), 
                ("Mærke", "Bromiflex", 20.00), 
                ("Produkttype", "Rørskål", 20.00), 
                ("Materiale", "Opskummet polyethylen", 20.00), 
                ("Størrelse", "Ø18 MM", 20.00), 
                columns = ("attr", "values", "price")
            # display data
            # output
            attr    values                           price
            0       Mærke   Knauf Insulation         24.95
            1       Produkttype Bygningsisolering    24.95
            2       Serie   SPACE                    24.95
            3       Mærke   Bromiflex                20.00
            4       Produkttype Rørskål              20.00
            # transform data using *pivot* method
            df = df.pivot(columns="attr", values="values", index="price").reset_index()
            df.columns.name = None
            # show results
            # output
            price   Materiale   Mærke   Produkttype Serie   Størrelse
            0   20.00   Opskummet polyethylen   Bromiflex   Rørskål NaN Ø18 MM
            1   24.95   NaN Knauf Insulation    Bygningsisolering   SPACE   NaN

            Source https://stackoverflow.com/questions/69704496


            T-SQL calculate hierarchy/parents
            Asked 2020-Sep-17 at 15:34

            I need to calculate the "hierarchy" column based on NR and NR_FROM-NR_TO, I'm not sure how to create a CTE/VIEW with such hierarchy column. This is what the result should look like:



            Answered 2020-Sep-17 at 15:34

            Looks like this solution gives you what you need.

            Sample data

            Source https://stackoverflow.com/questions/63938986


            Django render Dictionary
            Asked 2020-Aug-24 at 12:00

            Why cant i acsess the dict that i am making here:



            Answered 2020-Aug-24 at 12:00

            For what you seem to achieve, you need a list instead of a dict

            Source https://stackoverflow.com/questions/63560453


            C# - Lambda - grouping List data containing nested List objects
            Asked 2020-Jun-17 at 14:36

            I am trying to group a List, with inner Lists, to a smaller result using C# lambda but sadly without success.

            I got the following query which returns 8 records:



            Answered 2020-Jun-17 at 14:36

            I usually do it like this

            Source https://stackoverflow.com/questions/62429777


            Uncaught TypeError: Cannot read property 'createIcon' of undefined when creating markers
            Asked 2020-Apr-06 at 20:27

            Now I have named every name object in the var but the map still not working.

            I want to map custom icons, which are defined in a json data object by the property name. I have multiple Icons. I wrote this code, but it's not working and my console says the error is in line 266,

            "Uncaught TypeError: Cannot read property 'createIcon' of undefined" but I can't figure out the error.



            Answered 2020-Apr-06 at 17:22

            You get this error because in your jsonDataObject you only have as name Lidl and not REWE and Netto Filiale. Moreover there is not an object for Lidl in your markerIcons dictionary. If you include in your markerIcons an object for Lidl you should be good and not get the error.

            Source https://stackoverflow.com/questions/61064198


            What is the right regex for extracting string after first symbol?
            Asked 2020-Mar-02 at 16:42

            In google data studio I would like to make a REGEXP_EXTRACT for getting the string after the first | symbol (https://regex101.com/r/w3BqW4/2). I've tried the regex:



            Answered 2020-Mar-02 at 16:36

            If you want to capture every character after the first vertical bar, that would look like this


            You don't need question mark after a .*

            Source https://stackoverflow.com/questions/60453737

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


            No vulnerabilities reported

            Install kalk

            Pre-compiled binaries for Linux, Windows, and macOS (64-bit) are available in the releases page.


            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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