///

### Editor support { #editor-support }

All the framework was designed to be easy and intuitive to use, all the decisions were tested on multiple editors even before starting development, to ensure the best development experience.

   *
   * <p>Note that if any input list is empty, the Cartesian product will also be empty. If no lists
   * at all are provided (an empty list), the resulting Cartesian product has one element, an empty
   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of lists of size {@code m, n, p} is a

          <description>
            Specifies an alias which can be used to configure this parameter from the POM.
            This is primarily useful to improve user-friendliness, where Mojo field names are not intuitive to the
            user or are otherwise not conducive to configuration via the POM.
          </description>
        </field>
        <field>
          <name>type</name>
          <version>1.0.0+</version>

   *
   * <p>Note that if any input set is empty, the Cartesian product will also be empty. If no sets at
   * all are provided (an empty list), the resulting Cartesian product has one element, an empty
   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of sets of size {@code m, n, p} is a

* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.

To see how to achieve this parallelism in production see the section about [Deployment](deployment/index.md){.internal-link target=_blank}.

## `async` and `await` { #async-and-await }

Modern versions of Python have a very intuitive way to define asynchronous code. This makes it look just like normal "sequential" code and do the "awaiting" for you at the right moments.

* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.

## `async` et `await`

Les versions modernes de Python ont une manière très intuitive de définir le code asynchrone, tout en gardant une apparence de code "séquentiel" classique en laissant Python faire l'attente pour vous au bon moment.

* **<abbr title="Fast to code">کدنویسی سریع</abbr>**: افزایش ۲۰۰ تا ۳۰۰ درصدی سرعت توسعه قابلیت‌های جدید. *
* **<abbr title="Fewer bugs">باگ کمتر</abbr>**: کاهش ۴۰ درصدی خطاهای انسانی (برنامه‌نویسی). *
* **<abbr title="Intuitive">هوشمندانه</abbr>**: پشتیبانی فوق‌العاده در محیط‌های توسعه یکپارچه (IDE). <abbr title="یا اتوکامپلیت، اتوکامپلشن، اینتلیسنس">تکمیل</abbr> در همه بخش‌های کد. کاهش زمان رفع باگ.

## `async` und `await`.

Moderne Versionen von Python verfügen über eine sehr intuitive Möglichkeit, asynchronen Code zu schreiben. Dadurch sieht es wie normaler „sequentieller“ Code aus und übernimmt im richtigen Moment das „Warten“ für Sie.