Do I Need Javascript On My Pc?

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Some computer hardware is more suitable for programmers. However, if you have researched a hardware setup, you will quickly find yourself in confusing territory. Inundated with different opinions, countless technical tips and many different stores to choose from, picking the best desktop or laptop for coding can be a daunting task .

Before you start buying a desktop or laptop computer for programming, it is essential that you know the minimum specifications for programming. It is always a good idea to have a high end graphics card or an i7 processor for encoding. It can make a difference to your future success as a programmer.

When programming, one of the most important things to consider is the programming language you will be using. Whether it’s something like Python for game development or JavaScript for web design, each programming language does things better than the others. Likewise, knowing the best computer specifications for programming is extremely important.

What computer specifications are needed for programming ?

Minimum programming requirements include:

What determines the best programming configuration for you depends on several factors. First of all, preference plays an important role in choosing the processor.

Are you a loyal Apple customer only interested in a MacBook Air for your job as a software developer ? Or are you a die-hard Windows customer ? Perhaps the most important thing is how much you use your processor.

You should also take into account the basics like good battery life, storage space and the things that equip your processor for programming and ease of use.

Resolution: update monitor

While programming, web developers and software engineers spend hours staring at their monitors. As IT people, they spend time analyzing multiple lines of code and figuring out what works and what doesn’t. That’s why choosing the perfect monitor is the key to successful programming.

We recommend that you always consider a monitor with Full HD 1920x1080p resolution. While you might think 1920x1080 is only useful for things like streaming 4K movies and gaming, it offers a lot more.

In programming, you have to be meticulous and detailed. The higher the resolution, the more intricate details you can see at once, which makes your job much easier.

Of course you can use a lower resolution like 1366 √ó 768 (usually the higher resolution non-HD standard). But why skimp on resolution if you want the best programming setup possible?

Regardless of processor, operating system or brand, the first step should be to upgrade your monitor to have a capacity of 1920 √ó 1080. Small screens are definitely to avoid.

GPU Power: The Graphics Processor

As a programmer , you will need to make sure that programs that use graphics can run properly. While this may be more specific to individual graphics programming, it’s always a good idea to upgrade your graphics card as well.

A good rule of thumb when it comes to graphics cards is to check out anything from NVIDIA and AMD. Specifically, NVIDIA Geforce and AMD Ryzen are fantastic desktop GPUs.

More storage: an improved SSD / hard drive

Probably the most important upgrade for your processor is your SSD, or SSD to drive, for optimum speed. The last thing you need while programming is for your system to hang up and move at snail speed using a traditional hard drive. That’s why having a state-of-the-art SSD is probably more important than other minimum requirements.

Don’t be afraid to upgrade your SSD as it is needed for smooth and top performance. internal storage. You want lots of data storage space for all of your projects, especially if programming turns out to be more than just a hobby. Ideally, you’ll want something like a 256GB SSD for optimal performance and storage.

RAM

As a developer you will want to increase every bit of memory you can. Demanding projects can take up a lot of time and hard drive space, so you need as much RAM as you can get it.

The best specs for RAM are 16GB. Ideally, you’d better shoot for something like 32GB. At a minimum, 8GB might be enough.

A fast processor

Your processor needs updating. Central processing units are considerably more difficult to replace than graphics cards and SSDs, especially in laptops.

If the processor ages, you may need to buy a new laptop. This is especially true for low-cost laptops.

As you go through HP and Dell every few years they might not be bad, you will need longevity if you are a professional programmer.

A fast processor, coupled with something like 64GB of RAM, would keep you in the best shape possible. What you’ll want to look for is at least the 8th Gen Intel i7 processor. It lasts a long time and is a powerful processor.

Having the best processor for programming allows you to program quickly and accurately.

Best Laptops For Programming h2>

Below are some of the best laptops for programming needs, no matter how demanding they are.

MacBook Pro (16 inches)

There are two different models of Apple MacBook Pro: 13 inch and 16 inch. For our purposes, let’s take a look at the 16-inch Macbook Pro. It has a lot of RAM and a killer SSD. It also has a larger screen, perfect for programming.

Dell XPS 13 9300

While Apple’s MacBook Pro is a blockbuster for some, other programmers may want a windows laptop for programming. The Dell XPS is easily one of the best laptops for developers.

It combines excellent resolution with ergonomic styling, not being too big and bulky while giving you fantastic Intel HD graphics.

HP Envy 13

HP Envy 13 is one of the best options for novice programmers and software developers. It has a no-frills design, perfect for those who don’t mind Apple’s more artistic look while still maintaining a sleek look. It comes with larger keys, perfect for hours of code entry and software development. It also has a touch screen.

Conclusion:

Whether it’s the HP Envy 13 or a MacBook Pro or MacBook Air, there is no shortage of desktops and 2-in-1 laptops. for programming. Make sure you know the minimum specs for programming and try to aim a little higher. Take a look around and find the GPU, SSD, and operating system that best suit your programming needs.

Do I Need Javascript On My Pc? __del__: Questions

__del__

How can I make a time delay in Python?

5 answers

I would like to know how to put a time delay in a Python script.

2973

Answer #1

import time
time.sleep(5)   # Delays for 5 seconds. You can also use a float value.

Here is another example where something is run approximately once a minute:

import time
while True:
    print("This prints once a minute.")
    time.sleep(60) # Delay for 1 minute (60 seconds).

2973

Answer #2

You can use the sleep() function in the time module. It can take a float argument for sub-second resolution.

from time import sleep
sleep(0.1) # Time in seconds

__del__

How to delete a file or folder in Python?

5 answers

How do I delete a file or folder in Python?

2639

Answer #1


Path objects from the Python 3.4+ pathlib module also expose these instance methods:

Do I Need Javascript On My Pc? around: Questions

around

Removing white space around a saved image in matplotlib

2 answers

I need to take an image and save it after some process. The figure looks fine when I display it, but after saving the figure, I got some white space around the saved image. I have tried the "tight" option for savefig method, did not work either. The code:

  import matplotlib.image as mpimg
  import matplotlib.pyplot as plt

  fig = plt.figure(1)
  img = mpimg.imread(path)
  plt.imshow(img)
  ax=fig.add_subplot(1,1,1)

  extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
  plt.savefig("1.png", bbox_inches=extent)

  plt.axis("off") 
  plt.show()

I am trying to draw a basic graph by using NetworkX on a figure and save it. I realized that without a graph it works, but when added a graph I get white space around the saved image;

import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import networkx as nx

G = nx.Graph()
G.add_node(1)
G.add_node(2)
G.add_node(3)
G.add_edge(1,3)
G.add_edge(1,2)
pos = {1:[100,120], 2:[200,300], 3:[50,75]}

fig = plt.figure(1)
img = mpimg.imread("image.jpg")
plt.imshow(img)
ax=fig.add_subplot(1,1,1)

nx.draw(G, pos=pos)

extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
plt.savefig("1.png", bbox_inches = extent)

plt.axis("off") 
plt.show()
228

Answer #1

You can remove the white space padding by setting bbox_inches="tight" in savefig:

plt.savefig("test.png",bbox_inches="tight")

You"ll have to put the argument to bbox_inches as a string, perhaps this is why it didn"t work earlier for you.


Possible duplicates:

Matplotlib plots: removing axis, legends and white spaces

How to set the margins for a matplotlib figure?

Reduce left and right margins in matplotlib plot

228

Answer #2

I cannot claim I know exactly why or how my “solution” works, but this is what I had to do when I wanted to plot the outline of a couple of aerofoil sections — without white margins — to a PDF file. (Note that I used matplotlib inside an IPython notebook, with the -pylab flag.)

plt.gca().set_axis_off()
plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0, 
            hspace = 0, wspace = 0)
plt.margins(0,0)
plt.gca().xaxis.set_major_locator(plt.NullLocator())
plt.gca().yaxis.set_major_locator(plt.NullLocator())
plt.savefig("filename.pdf", bbox_inches = "tight",
    pad_inches = 0)

I have tried to deactivate different parts of this, but this always lead to a white margin somewhere. You may even have modify this to keep fat lines near the limits of the figure from being shaved by the lack of margins.

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