varie | A Typescript Framework For VueJS | Dependency Injection library

I'm trying to make a string that will write itself letter by letter until completing the sentence, and the speed of appearing each letter is based on an input that varies from 1 to 10. At the end of the string, it will blink for 5 seconds until that an alien will appear. My idea was to create a setInterval to add the letters and when the counter added the array size it would return the final animation of the loop with the new setInterval call, and before it was called again it had already been cleared, and called again in a recursion by setTimout callback to maintain the infinite loop. But it's not reaching setTimout, why?

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I am working on getting some data, and as I am getting this data in a list, I want to write it into a csv file (maybe using pandas)

The data I want to convert is in the form of list:

For the past days I've been trying to plot circular data with python, by constructing a circular histogram ranging from 0 to 2pi and fitting a Von Mises Distribution. What I really want to achieve is this:

1. Directional data with fitted Von-Mises Distribution. This plot was constructed with Matplotlib, Scipy and Numpy and can be found at: http://jpktd.blogspot.com/2012/11/polar-histogram.html

1. This plot was produced using R, but gives the idea of what I want to plot. It can be found here: https://www.zeileis.org/news/circtree/

WHAT I HAVE DONE SO FAR:

I have been trying to create a PDF document with iText7 and with different column sizes in the table, In my code, I have already set the width for each column. but I am unable to get the desired result.

version - itext7-core:7.1.15

Here is the partial code:

I am a fairly new Python user and have been using pandas and matplotlib to do some data analysis for my research. In particular, I have a data file with 3 sets of data inside: 2 column vectors and an array (see link here to google drive for a simple 3x3 sample of the same format:Sample data. In the end, I need to plot this as a 2D heatmap with the column vectors specifying x and y axis and the array filling my heat points.

I could use pandas.read_csv() with skiprows to do this for one file, but the dimension of each vector and array varies across all of the simulations I have run. Thus, I would have to find the start and end of each set of data for each different file. The biggest files I have are (229, 1), (229, 1), (229, 229).

My question is this: is there a way to specify a start and end to each set of data based on the formatting approach that my output files have? This could be done either into pandas dataframe or into arrays. I prefer dataframes only for the ease of performing computations before plotting.

Any help would be much appreciated!

I am confused by the following.

I'm new to Swift and trying to unwrap an HTTP response into Swift objects. Below is the format of the response that I get.

When I run cpython with the -X showrefcount flag on an extension I'm writing, it reports a negative reference count (e.g. [-5538 refs, 13503 blocks]) when I return None from a function (using the Py-RETURN_NONE macro).

• The exact count varies between runs, but remains within the same order of magnitude.
• Whatever is happening, it seems to happen slowly; I need to call the extension function approximately 50,000 times before the reference count goes negative.
• If we replace Py_RETURN_NONE; with Py_INCREF(Py_None); return Py_None;, it changes nothing. Indeed, we can seemingly add an arbitrary number of Py_INCREF(Py_None)s without affecting the reference count at all.
• If we replace Py_RETURN_NONE; with return Py_None; and don't increment the reference count, it segfaults (as expected).
• If we replace the None return with another value, e.g. PyLong_FromLong(0);, the problem vanishes.

What is the cause of this? Related question: why is the reference count not zero after running an empty script?

I am planning to use Janusgraph for building graph of different uses our team handles and I see that janus graph has option to use BigTable or Cassandra as storage backend. I am looking for any recommendation on which backend is more optimal/performant ( I am mainly talking about gremlin query performance on 2 hop neighbor of a node ) with JanusGraph.

I understand that performance is pretty subjective and varies based on datasize/graph connectivity and use case so best approach will be to try out myself, which I am planning to do. But has anyone else has done similar performance comparison ? Is there any general recommendation about storage backend here ?