* **Machine Learning**: normalmente requiere muchas multiplicaciones de "matrices" y "vectores". Imagina en una enorme hoja de cálculo con números y tener que multiplicarlos todos al mismo tiempo.

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)

* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.

pkg debug/pe, const IMAGE_COMDAT_SELECT_SAME_SIZE ideal-int #51868
pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH32 = 25138 #46229
pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH32 ideal-int #46229
pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH64 = 25188 #46229
pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH64 ideal-int #46229
pkg debug/pe, const IMAGE_SCN_CNT_CODE = 32 #51868

describes the peculiarities that apply when writing assembly code to interact with Go.
</p>

<p>
The most important thing to know about Go's assembler is that it is not a direct representation of the underlying machine.
Some of the details map precisely to the machine, but some do not.
This is because the compiler suite (see
<a href="https://9p.io/sys/doc/compiler.html">this description</a>)
needs no assembler pass in the usual pipeline.

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

Linux containers run using the same Linux kernel of the host (machine, virtual machine, cloud server, etc). This just means that they are very lightweight (compared to full virtual machines emulating an entire operating system).

This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).

* **Facile**: Progettato per essere facile da usare e imparare. Si riduce il tempo da dedicare alla lettura della documentazione.

!!! check "A inspiré **FastAPI** à"
Être un micro-framework. Il est donc facile de combiner les outils et les pièces nécessaires.

Proposer un système de routage simple et facile à utiliser.

### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>

 * Windows command prompt you can see
 * what names a host registers with the nbtstat command.
 * <p>
 * <blockquote>
 * 
 * <pre>
 * C:\&gt;nbtstat -a 192.168.1.15
 * 
 *        NetBIOS Remote Machine Name Table
 * 
 *    Name               Type         Status
 * ---------------------------------------------
 * JMORRIS2        &lt;00&gt;  UNIQUE      Registered
 * BILLING-NY      &lt;00&gt;  GROUP       Registered