<embed>: The Embed External Content element - HTML: HyperText Markup Language | MDN

# Initialize Text-to-Speech engine with Hazel%27s voice

engine = pyttsx3.init()
hazel_voice_id = "HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Speech\Voices\Tokens\TTS_MS_EN-GB_HAZEL_11.0"
engine.setProperty(%27voice%27, hazel_voice_id)
engine.say("Hello Videotronic Maker, How can I assist you today sir?")
engine.runAndWait()

add_action( %27plugin_action_links_%27 . plugin_basename( __FILE__ ), function ( $links ): array {
    $label = esc_html__( %27Settings%27, %27text-domain%27 );
    $slug  = %27your-page-slug;

    array_unshift( $links, "<a href=%27admin.php?page=$slug%27>$label</a>" );

    return $links;
}, 10 );

public class BriefingTimeRequiredAttribute : ValidationAttribute
{
    protected override ValidationResult IsValid(object value, ValidationContext validationContext)
    {
        var model = (MyModel)validationContext.ObjectInstance;
        if (model.Briefing && !model.BriefingTime.HasValue)
        {
            return new ValidationResult("BriefingTime is required.");
        }
        return ValidationResult.Success;
    }
}

<embed
  type="video/quicktime"
  src="movie.mov"
  width="640"
  height="480"
  title="Title of my video" />

sudo apt install ./<file>.deb

# If you%27re on an older Linux distribution, you will need to run this instead:
# sudo dpkg -i <file>.deb
# sudo apt-get install -f # Install dependencies

conda create -n <env-name>

conda create -n myenvironment python numpy pandas

conda create -n myenvironment python numpy pandas

conda create -n myenvironment python numpy pandas

conda create -n myenvironment python numpy pandas

conda info --envs

conda environments:

   base           /home/username/Anaconda3
   myenvironment   * /home/username/Anaconda3/envs/myenvironment

conda environments:

   base           /home/username/Anaconda3
   myenvironment   * /home/username/Anaconda3/envs/myenvironment

conda activate

conda activate