bel | An interpreter for Bel , Paul Graham 's Lisp language | Interpreter library
kandi X-RAY | bel Summary
kandi X-RAY | bel Summary
A Perl 5 implementation of Paul Graham's Bel. Bel is a self-hosting Lisp dialect, released October 2019. There are many Lisp dialects in the world, but Bel distinguishes itself by defining a complete stack of features on a metacircular foundation. That includes the evaluator, the reader and printer, but also I/O, error handling, and a numeric tower; these are all specified as Bel code in the language itself. Bel is built on top of Bel; that's true of the language's specification, and increasingly true of this implementation.
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Trending Discussions on bel
QUESTION
I have a Python variable (named var
) containing a string with the following literal data:
ANSWER
Answered 2022-Mar-28 at 06:18Find similar question here. According to this you can do following
QUESTION
I need to parse JSON to a table or array. As this is completely new for me I've used Google for help but something is not working for me :/
My JSON looks like:
...ANSWER
Answered 2022-Mar-22 at 12:13I'm leaving you with an example that worked for me in Oracle 12c
:
QUESTION
I would like to align the correctly, except that the first 2
> of the table are not positioned perfectly.
Do you know how I could rectify this, please?
A big thank you
...ANSWER
Answered 2022-Mar-21 at 13:59It seems like you have separated the content into two separate tables, but are displaying them as though they were a single, continuous table. If this is all tabular data that logically belongs together, just combine it into a single table:
QUESTION
I have a dataset with ~ 150 countries, a grouping variable, and a value for each country and group (0-6). I am trying to show, that countries with a higher GDP get higher values in one group than the other. I made a scatterplot showing the values for each country by group (the countries are sorted by GDP). I want to draw a line around the points, so it becomes more aparent which group has higher values in which range of GDP. I am however, at a loss.
...ANSWER
Answered 2022-Mar-05 at 14:03Here's one idea to help visualize the difference you are trying to show. Firstly, the country names on the x axis are likely to remain illegible however you try to label them. It might therefore be better to have the rank of the countries on the x axis.
Drawing a polygon around the points might make the point visually, but doesn't make much sense in statistical terms. What might be better here is to plot a regression with a separate line for each group. Since we are dealing with count data, we can use Poisson regression, and since we have a numeric rank on the x axis, it is possible to have lines going across your plot to show the regression.
QUESTION
So I have a json file that have multiple level,by using pandas I can read the first level and put it in a dataframe,but the problem is as you can see in the dataframe Column Comments and hastags the second level is inside a column have format of list of dictionary,is there any solution for make the second level dictionary into dataframe. I try to use for loop and json_normalize
but it always throw an error. Any suggestion? My code is like this
ANSWER
Answered 2022-Feb-08 at 09:52Maybe this solves your problem:
Defined the following function which unnests any json:
QUESTION
On Google Flights, search information is encoded in a URL parameter, presumably so users can share flight searches with each other easily. The URL format looks like this:
...ANSWER
Answered 2021-Oct-06 at 09:00I miss having the ability to encode a query and have the same question. Nice work with finding out it's in base64.
I think reverse engineering is the only way to find out how things are encoded. For example, the stuff after the underlines is most likely binary-encoded.
See the below for economy:
QUESTION
I'm trying to obtain a table of data obtaining just the country, year and value from this World Bank API but I can't seem to filter for just the data I want. I've seen that these types of questions have already been asked but all the answers didn't seem to work.
Would really appreciate some help. Thank you!
...ANSWER
Answered 2022-Jan-04 at 09:12Pandas read_json
method needs valid JSON str, path object or file-like object, but you put string.
https://pandas.pydata.org/docs/reference/api/pandas.read_json.html
Try this:
QUESTION
My problem is that the sidebar shouldn't be fixed once the footer enters the viewport.
I have found dozens of questions regarding the fixed sidebar, but the answers I found here are not solving my problem.
I found something similar here but my problem is, I am not able to apply this solution as my HTML structure is different. I would also prefer it if your answers were in pure js and not jquery
...ANSWER
Answered 2021-Dec-07 at 15:43It looks like you are trying to have the sidebar follow the content until there's not enough space, then it locks in place. You could do this with JS, but it's far easier with CSS position:sticky;
Here's MDN's documentation
StickyThe element is positioned according to the normal flow of the document, and then offset relative to its nearest scrolling ancestor and containing block (nearest block-level ancestor), including table-related elements, based on the values of top, right, bottom, and left. The offset does not affect the position of any other elements.
QUESTION
I am trying to extract certain fields about wikidata items from the wikidata dump, but I have a problem with the aliases
field for a certain language, my code is based on the code in the following URL how_to_use_a_wikidata_dump, I made my modification, but the aliases
field returns empty value:
ANSWER
Answered 2021-Dec-05 at 08:42The answer is :
QUESTION
I am making a bar plot with ggplot2. For some reason the font created using geom_text looks very different than the rest. It looks 'worse', sort of pixely, and when I paste the pdf in a ppt presenation you can hardly read the geom_text text. The axis fonts look great.
Any help appreciated,
ANSWER
Answered 2021-Dec-02 at 16:04It is overplotted for each row in your data. Set check_overlap = TRUE
inside geom_text()
, or use annotate
instead. Or create a separate data frame for this layer with one row per label.
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