Ux design platform for iPhone, etc.

Can any one recommend a platform for designing mobile apps, etc.? My current program is adobe xd (which is great) although I plan to try a platform with more features (Boolean programming / object states, etc.) – although some something that is not too technical (my programming experience is about as great as vga is excellent and very simple (introductory level) java etc … thanks in advance for your help!

NVMe poor performance | Talk Web Hosting

I do not know if it is the right section, but it is a dedicated server and hardware.

I have 2 servers with NVMe disks, mdadm software raid 1 both.

I see without stress hard a high load of 4-5 +
(Servers are E3-1275 v5 with 64 GB of RAM and 2 NVMe disks running CloudLinux 7)

On "top", I saw a high "wa" time.

Something like that:

Code:

top - 22:26:47 up 111 days,  3:26,  1 user,  load average: 4.00, 2.72, 2.80
Tasks: 230 total,   1 running, 229 sleeping,   0 stopped,   0 zombie
%Cpu(s): 52.9 us,  9.4 sy,  0.0 ni, 34.3 id,  7.3 wa,  0.0 hi,  0.0 si,  0.0 st

By digging more, I found that "wa" the time is high. Something that's not a problem on SSD servers.
Usually, on SSD mdadm raid 1 or raid 10, I do not see more than 0.1 – 0.2 and only in case of stress with dj, I see 0.4 or 0.5.

But on both NVMe servers, I see more than 5 + wa and it peaks at 10-15 + when I tried to stress it. And when the waiting time increases, the load also increases, of course.

I therefore have an empty NVMe server (third) with the same specifications to test it again.
I see high speeds (1 GB / s and above), but I also see a high load when I reach this speed and a high standby time. Is this normal?

For example, a dd if = / dev / zero of = / root / testfile bs = 4G count = 1 oflag = direct on an SSD server gives me:

Code:

# dd if=/dev/zero of=/root/testfile bs=4G count=1 oflag=direct
0+1 records in
0+1 records out
2147479552 bytes (2.1 GB) copied, 3.73432 s, 575 MB/s

And on the NVMe:

Code:

# dd if=/dev/zero of=/root/testfile bs=4G count=1 oflag=direct
0+1 records in
0+1 records out
2147479552 bytes (2.1 GB) copied, 1.83249 s, 1.2 GB/s

BUT when I try to measure latency:

On the empty NVMe server (or one of the 3), I had almost 8 seconds:

Code:

# dd if=/dev/zero of=/root/testfile bs=512 count=2000 oflag=dsync
2000+0 records in
2000+0 records out
1024000 bytes (1.0 MB) copied, 7.88814 s, 130 kB/s

And on a simple SSD server, I had less than a half-second:

Code:

# dd if=/dev/zero of=/root/testfile bs=512 count=2000 oflag=dsync
2000+0 records in
2000+0 records out
1024000 bytes (1.0 MB) copied, 0.466526 s, 2.2 MB/s

Also, when I "dare" to run several DD tests or when I use large numbers, I see a waiting time of 8-10-15 or more, with a load that goes from 0 to 2 -3 only with the test. :

Code:

%Cpu(s): 17.0 us,  2.2 sy,  0.2 ni, 71.8 id,  18.8 wa,  0.0 hi,  0.0 si,  0.0 st

Code:

top - 22:42:06 up 111 days,  3:41,  2 users,  load average: 2.12, 2.27, 2.53
Tasks: 236 total,   2 running, 232 sleeping,   0 stopped,   2 zombie
%Cpu(s):  3.9 us,  4.2 sy,  0.2 ni, 77.6 id, 14.1 wa,  0.0 hi,  0.0 si,  0.0 st
KiB Mem : 64959260 total,  4242088 free, 13102768 used, 47614404 buff/cache
KiB Swap: 33521660 total, 33519868 free,     1792 used. 42635288 avail Mem

Something I can not even do on an SSD server.

Do I miss something when I use NVMe and do not know?

NVMe disks are different.
Toshiba on one server, Samsung on another. So, I do not think it's hardware related. The 3 servers have different NVMe disks.

Anyone can share latency results such as "dd if = / dev / zero of = / root / testfile bs = 512 count = 2000 oflag = dsync" on NVMe disks?

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jupyter notebook – How to convert a mathematical expression to python?

enter the description of the image here

I have a very difficult situation and I do not know how to convert a mathematical expression into a python function

N = 4
def sequence_a(N):
   pass # return

a = sequence_a(N)
print a

def sequence_b(N):
   pass # return

b = sequence_b(N)
print b


def sequence_c(N):
   pass# return

c = sequence_c(N)
print c


def sequence_d(N):
   pass# return

d = sequence_d(N)
print d

According to the mathematical sequence of the function above, I try to implement the python function. My result should look like

print a
>>> (        nan  4.          2.66666667  3.46666667)

print b
>>> (        nan  2.44948974  2.73861279  2.85773803)

print c
>>> (        nan  3.08007029  3.12710787  3.13615238)

print d
>>> (        nan  3.07920144  3.15618147  3.13785289)

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I have a wallet.dat file from an old computer that was accessed for the last time on February 23, 2012 and that I have to restore in a newly installed Bitcoin Core program on a new computer.

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binary data – How to make a graghyne or butterfly chart in R?

I am looking for a real tornado graph showing the frequency of yes and no in each category.

I've meticulously scoured / reddit, R documentation and YouTube video to get a chart that indicates the frequency of yes / no answers by category and I've reversed the coordinates so that the bars will show up. extend horizontally. This is usually enough for most people looking for a tornado graph. However, since I'm dealing with binary data, yes / no. The bars are simply stacked flush with the axis of the left hand and still do not produce a tornado graph.

Due to some upcoming reports, I was hoping to get good information and lead me to make real tornado graphics, but with this simple set of 150 data observation, all I'm going on to produce is a bar graph.

ggplot (data.frame, aes (x = GlobalRegion, y = No_Elected, fill = No_Elected, label = "")) + geom_bar (stat = "identity") + geom_text (size = 3, position = position_stack (vjust = 0.5) ) + coord_flip ()

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Now, I just need to do it outside the axis and center each break, a midline / single point to create a tornado graph.

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