Posted by: xSicKxBot - 03-29-2022, 11:37 AM - Forum: Lounge
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Asus Is Reducing Its Graphics Card Prices Across The Board
While new, high-end graphics cards have been hard to get for some time, that's been changing recently. Supply has slowly been increasing, and as high school economics teaches us, the more of a product there is, the less it costs for consumers. PC hardware manufacturer Asus is already shifting its pricing according to that rule reports PC Gamer, meaning RTX 30 Series cards may finally be affordable.
In a series of statements to PC Gamer, Asus confirmed that it "is reducing MSRP aggressively." Specifically, the company has "been dropping pricing across all SKUs" of graphics cards, meaning prices won't just be dropping for Nvidia cards. Anyone who wants to get an Asus AMD card should also find lower prices, although it's not clear when Asus' reduced MSRPs will actually have an effect on what consumers see on store shelves. Currently, an Asus KO Nvidia' GeForce RTX 3070 V2 OC is $900 on Amazon, which is inflated far past the price of an AIB model for the card. Nvidia lists Founders Edition RTX 3070 graphics cards at a $500 MSRP.
While there isn't a clear change in pricing just yet, Asus' confirmation that it is lowering the MSRPs for its graphics cards is a great sign. We could soon see other AIB graphics cards manufacturers–Zotac, EVGA, MSI, Gigabyte, etc.--reduce their prices too.
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Posted by: xSicKxBot - 03-28-2022, 07:29 AM - Forum: Python
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Is There A List Of Line Styles In Matplotlib?
You want to plot a series of data with unique styles. You need to pick various line styles from a list but not sure how to get started. This tutorial will help you out.
Yes, there is a list of line styles in matplotlib. To get the list, import the lines from the matplotlib library.
from matplotlib import lines
Next, get the keys from the lineStyle attribute.
lines.lineStyles.keys()
You can then print the styles and choose your preferred style per plot.
Assume we want to plot the annual earnings of company X’s employees (designers, developers, and accountants) aged between 20 and 29. We store the ages in a list as follows.
ages = [20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
Next, we create lists for each group of employees’ salaries.
Now that we have some data to practice various line styles in matplotlib, let’s go ahead and manipulate the data.
Practical Ways To Use Line Styles In Matplotlib
➥Get the required functions
Install the matplotlib library using pip.
pip install matplotlib
# OR
pip3 install matplotlib
After installing Matplotlib, create a file and import the library’s functions into it. I have created one called employees.py and imported lines and pyplot as follows.
from matplotlib import lines, pyplot as plt
We will get the line styles from lines and plot the lines with pyplot. It is a convention to shorten pyplot as plt. In simple words it is an alias.
➥Plot the data
Plotting a bunch of data on a curve requires specifying the values for the x-axis and y-axis.
The plt.show() function instructs Python to reveal the graphical information cached in the memory. As soon as you run the file on the terminal, you get three solid lines of different colors.
python employees.py
Now let us label the lines and add a title to the plots for easier identification. Insert the code before the plt.show() line.
plt.xlabel("Ages")
plt.ylabel("Annual salary in USD")
plt.title("Salaries of X employees for 20-29 ages")
Output:
However, we cannot tell what the green, blue, and coral lines represent. So, let’s mark the lines using labels and a legend.
➤legend represents the area that describes specific elements of the graph. In this case, we will use the legend() method to describe the labels assigned previously.
plt.legend()
plt.show()
Output:
Full code: Here’s the full code that helps to represent our data in the form of different lines.
Looks better, right? Yes, but we can improve the visuals by changing the line styles.
Change The Line Styles
We assigned different labels to distinguish different data but is there a way to change the style of the line? Yes! The first step is to grab the lines with the help of the lines module. You can import lines from matplotlib as we have done above or get them from Matplotlib line style docs.
Let’s print the styles from the imported lines. After commenting out the plt.show() method, run the print line below the import statement.
print(lines.lineStyles)
We get a dictionary which represents the type of styles in which the lines can be represented as follows:
You can get a list of styles in matplotlib using the lines attribute. After storing the target styles, you can change the lines’ appearance using pyplot‘s built-in linestyle attribute. Additionally, as illustrated in this tutorial, you can differentiate lines using markers, width, and colors.
Exec Summary Starting with Java 11, Oracle will provide JDK releases under the open source GNU General Public License v2, with the Classpath Exception (GPLv2+CPE), and under a commercial license for those using the Oracle JDK as part of an Oracle product or service, or who do not wish to use open so...
PHP session is one of the methods for keeping data persistency on the server side.
PHP sessions have a deadline time limit for keeping data persistent. PHP configuration file includes directives to have this specification.
We can also create custom code to change the default PHP session deadline.
This article contains sections that describe the PHP sessions, their time-limit configurations. It provides examples for setting session limits and tracking existence.
The below example gives a quick solution to set PHP session time. It contains only two steps to set and track the session expiration status.
Quick example
1. Create a file set-session.php and set value and lifetime.
We have already seen PHP sessions and cookies in a previous article. PHP sessions are for managing application data, state persistent during the working flow.
There are a lot of uses of sessions in an application. The below list shows some of the states or data managed by the use of sessions.
We have seen how to create a login script using the PHP session. In that, the session lifetime tracking can be used to log out after few minutes of inactivity.
PHP session lifetime settings
This section describes the configuration directives used to set PHP session time. The below table shows two PHP.ini settings related to the session.
PHP directive
Description
session.gc_maxlifetime
It sets the max lifetime after which the session will be elapsed and collected as garbage.
session.cookie_lifetime
It sets the time limit for the session cookie in seconds. Default is 0 which means to be persistent until the client quits. Note: PHP session_set_cookie_params() sets all the session cookie parameters in runtime.
Example: Working with PHP session time – Set expiration and limit lifetime
This PHP session time handling example is the enhanced version of the above quick example.
It creates three session variables to set color, shape and size. It sets the lifetime for each PHP session variable while setting values.
The PHP code checks if the session exists. Once the time is reached, it unset that particular session variable and destroys it.
Landing page to set session
The landing page of this example shows a control to set the PHP session time. Once started, the session expiration status is checked at a periodic interval. This page includes the AJAX script to raise the call to PHP to check the session.
If the PHP session time is over, then this page will display a notice to the user. After all the sessions are expired, then the page will clear the notification and ask to reset the session.
This script sets an interval to call the AJAX script to check the PHP session time. After getting the response, this AJAX success block shows the expired PHP sessions.
It checks the PHP session time every 5 seconds via AJAX. This script uses JavaScript setInterval() to invoke the checkSession() method.
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Using Kubernetes ConfigMaps to define your Quarkus application’s properties
So, you wrote your Quarkus application, and now you want to deploy it to a Kubernetes cluster. Good news: Deploying a Quarkus application to a Kubernetes cluster is easy. Before you do this, though, you need to straighten out your application’s properties. After all, your app probably has to connect with a database, call other services, and so on. These settings are already defined in your application.properties file, but the values match the ones for your local environment and won’t work once deployed onto your cluster.
So, how do you easily solve this problem? Let’s walk through an example.
Create the example Quarkus application
Instead of using a complex example, let’s take a simple use case that explains the concept well. Start by creating a new Quarkus app:
You can keep all of the default values while creating the new application. In this example, the application is named hello-app. Now, open the HelloResource.java file and refactor it to look like this:
@Path("/hello") public class HelloResource { @ConfigProperty(name = "greeting.message") String message; @GET @Produces(MediaType.TEXT_PLAIN) public String hello() { return "hello " + message; } }
In your application.properties file, now add greeting.message=localhost. The @ConfigProperty annotation is not in the scope of this article, but here we can see how easy it is to inject properties inside our code using this annotation.
Now, let’s start our application to see if it works as expected:
$ mvn compile quarkus:dev
Browse to http://localhost:8080/hello, which should output hello localhost. That’s it for the Quarkus app. It’s ready to go.
Deploy the application to the Kubernetes cluster
The idea here is to deploy this application to our Kubernetes cluster and replace the value of our greeting property with one that will work on the cluster. It is important to know here that all of the properties from application.properties are exposed, and thus can be overridden with environment variables. The convention is to convert the name of the property to uppercase and replace every dot (.) with an underscore (_). So, for instance, our greeting.message will become GREETING_MESSAGE.
At this point, we are almost ready to deploy our app to Kubernetes, but we need to do three more things:
Create a Docker image of your application and push it to a repository that your cluster can access.
Define a ConfgMap resource.
Generate the Kubernetes resources for our application.
To create the Docker image, simply execute this command:
Be sure to set the right Docker username and to also push to an image registry, like docker-hub or quay. If you are not able to push an image, you can use sebi2706/hello-app:latest.
Make sure that you are connected to a cluster and apply this file:
$ kubectl apply -f config-hello.yml
Quarkus comes with a useful extension, quarkus-kubernetes, that generates the Kubernetes resources for you. You can even tweak the generated resources by providing extra properties—for more details, check out this guide.
After installing the extension, add these properties to our application.properties file so it generates extra configuration arguments for our containers specification:
Then, browse to the public URL or do a curl. For instance, with Minikube:
$ curl $(minikube service hello-app --url)/hello
This command should output: hello Kubernetes.
Conclusion
Now you know how to use a ConfigMap in combination with environment variables and your Quarkus’s application.properties. As we said in the introduction, this technique is particularly useful when defining a DB connection’s URL (like QUARKUS_DATASOURCE_URL) or when using the quarkus-rest-client (ORG_SEBI_OTHERSERVICE_MP_REST_URL).
With Java 11 around the corner, and release candidate builds available at http://jdk.java.net/11 , it’s time to look back at the effect the new release cadence has had on adoption of new releases. Changing the Pace of Change New Java releases used to take quite a while to get adopted by developers. ...
Change The Line Styles
Tidbits
