Java Swing Javascript

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Any developer who’s been around the block once or twice knows how ubiquitous languages ‚Äã‚Äãlike JavaScript , Java and tools associates and add - ons have become in the programming world.

Java Swing is one of the key tools for Java and has been a benchmark for user interface development for years. However, in recent years, the battle between JavaFX and Java Swing has become a real standoff for programmers who want to use the most efficient means to build their applications. JavaFX began to cause a stir and steal business from its older, more established cousin.

We’re here to cut the fog and clear up any confusion you may have between the two Java friends. Let’s take a closer look at the building blocks of JavaFX and Java Swing, highlight the main differences between them, and help you determine which one is best for your encoding situation. Our look at Java Swing and JavaFX gives you the facts to make a clear choice and prepares you for a rewarding and exciting career.

What is Java Swing?

A girl on the swing.
You knew we were going, right?

Both Java Swing and FX work in conjunction with Java code. Java is one of the simplest and easiest languages ‚Äã‚Äã popular and is the first choice of many aspiring developers. as as Java is increasingly used in development, a number of add-ons and specialist tools such as Java Swing have emerged to meet the needs in niche application areas. Java Swing helps programmers build graphical user interface (GUI) applications and helps them make them cleaner and more efficient.

Programmers work with Swing to create Swing APIs. Swing has replaced the Abstract Window Toolkit and provides developers with an interface very close to the Java model, making it easy to transition from other environments to GUI development. Swing enables the creation of pluggable user interface components and adds flexibility to the environment. With Swing, developers are free to create labels, buttons, and other UI components.

What is JavaFX?

A image full of lines of code.

Swing has a wider range of UI components than FX, but FX always adds more , so this difference may not be noticeable much longer. Likewise, JavaFX offers IDE support, but Swing’s IDE support is more mature and offers more options for rapid deployment needs. On the other hand, FX offers consistent MVC support, while Swing’s MVC support is not the same across all platforms.

In short, Swing and JavaFX are both GUI toolkits for Java programs. Swing is the old standard toolkit that includes a larger library of GUI elements and mature IDE support. JavaFX is the latest standard with a smaller library, more consistent updates, and consistent MVC support.

Which one is right for you?

A person looking at a series of lit light bulbs in a dark room.

Choosing the perfect Java tools depends on your needs. Do you want a GUI generator crackerjack which gives you lots of options when building, or maybe you want to access lots of libraries while you work ? Java Swing will probably be your cup of tea. The proven Java support tool remains the best choice. popular. It gives you everything you need to create responsive user interface environments and helps you take your project to the finish line.

Web developers and people who wish using the latest and greatest equipment will find JavaFX to be right in their back alley. FX adds a modern touch to your project and makes it easy to add animations and special effects. FX is also the choice for people who develop mobile apps - it’s much more geared towards working with mobile programs than Swing. Additionally, FX is lighter overall than the previous instrument. It’s a perfect option for efficiency-conscious developers.

And that’s the whole story, my friends. JavaFX and Java Swing help programmers create dynamic and engaging applications with simple and accessible user interfaces. Our comparison of the two Java tools helps you identify the best option for your job.

Java Swing Javascript __del__: Questions

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.


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).


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

How to delete a file or folder in Python?

5 answers

How do I delete a file or folder in Python?


Answer #1

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

Java Swing Javascript around: Questions

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)

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


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()
pos = {1:[100,120], 2:[200,300], 3:[50,75]}

fig = plt.figure(1)
img = mpimg.imread("image.jpg")

nx.draw(G, pos=pos)

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


Answer #1

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


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


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.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0, 
            hspace = 0, wspace = 0)
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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