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Date of purchase: 01 Apr 2020. Total: 5.99. Portable Key Search 1.0 Serial.Q:

perl6 – How to create multidimensional array of arrays?

How to create multidimensional array of arrays?
I tried this:
my @tab = ();

my @temp = ();

@tab = @temp.each;

my $array = @tab;

say @array;

I tried multiple things but it just gave me this error:
Current thread must be in a loop; try using a synchronization method.

What is the best way to create this multidimensional array?
Or is there some other way to get multidimensional array?

If you want to have a multidimensional array that stores arrays, you want the Set type:
my @tab = Set.new;

my @temp = ();

@tab = @temp.each;

my @array = @tab;

say @array;

By the way, the data for your array is not actually stored in the @tab variable. That’s just a reference to a set object. In fact, you can write the code above as:
my @tab = Set.new;

my @temp = ();

@tab.each;

my @array = @tab;

say @array;

This second technique is more compact, but this will not work if @tab is a reference to a collection object.

Why am I getting an error when using groupby?

I’m currently using pandas.DataFrame.groupby to group some data, and I keep getting this error message:

TypeError: unhashable type: ‘list’

Here is my code:
group_id = data.groupby([‘Start’, ‘End’])
.agg({‘value’:’mean’})
.sort_values(by=’value’)

The data.shape is (326, 4), and the last line fails. I have tried converting the list to a dict and also tried by=’ID’ instead of by=’Start’,’End’, but it still gives me the same error message.
Any ideas?
Edit: I did not have a list for ‘ID’

The problem is due

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.Graphical user interfaces are conventionally designed to optimize many different aspects of usability such as how quickly users can find desired information, how intuitive the information is, how the information is arranged in a manner that facilitates quick and efficient use, etc. In the area of graphical user interfaces, the conventional approach to improving the user experience has been to emphasize intuitive design and to make as few design decisions as possible. This may be due to the understanding that a designer is responsible for the final design and the time and resources that are typically available for the design process.
One way to facilitate intuitive design is to reduce the number of design decisions made by the designer. This approach often makes intuitive design possible, at least in the development of initial versions of the graphical user interface. For example, it may be desirable to have a “blank slate” for the design of an application and, as such, the designer may opt to avoid making any non-obvious design decisions. Alternatively, an application may have already been developed and may already have users, and these users may be able to provide feedback that allows the designer to learn something about which aspects of the application are not intuitively designed. An important aspect of this feedback may be a lack of expected user tasks.
From the perspective of usability testing, a user may fail to perform expected tasks. If the designer is unaware of the expected user tasks, the designer may be able to address these issues in the design, leading to a more intuitively designed application. Unfortunately, using existing techniques, the designer may be able to determine the expected tasks, and what tasks a user should expect and perform, at the time that the designer is undertaking the design. As such, existing techniques may rely upon the user providing feedback after the application is developed.
Therefore, what is desired are improved systems and methods for learning expected user tasks during the design of a user interface.3D Scaffold-Based Approaches to Enhancing Anticancer Efficacy of Nanomedicine.
In the last two decades, nanomedicine (NM) researchers have developed a number of different nanostructured materials for applications as biological carriers (nanocarrier), active targeting agents (nanotargeting), multiple stimuli-responsive materials (nanosensors, nanoelectronics, and nanocapsules), and platforms for controlled release of payloads (nanovectors). The goal of NM is to develop nanoscale drug delivery systems for site-targeted therapy and imaging.