ফাংশনটি নিম্নলিখিত কাজ করে:

* `first_name` এবং `last_name` নেয়।
* প্রতিটির প্রথম অক্ষরকে `title()` ব্যবহার করে বড় হাতের অক্ষরে রূপান্তর করে।
* তাদেরকে মাঝখানে একটি স্পেস দিয়ে <abbr title="একটার পরে একটা একত্রিত করা">concatenate</abbr> করে।

```Python hl_lines="2"
{!../../docs_src/python_types/tutorial001.py!}
```

### এটি সম্পাদনা করুন

এটি একটি খুব সাধারণ প্রোগ্রাম।

কিন্তু এখন কল্পনা করুন যে আপনি এটি শুরু থেকে লিখছিলেন।

   * {@code ByteBuffer.allocate(4).putInt(value).array()}. For example, the input value {@code
   * 0x12131415} would yield the byte array {@code {0x12, 0x13, 0x14, 0x15}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

   * {@code ByteBuffer.allocate(2).putChar(value).array()}. For example, the input value {@code
   * '\\u5432'} would yield the byte array {@code {0x54, 0x32}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

   * 0x1213141516171819L} would yield the byte array {@code {0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
   * 0x18, 0x19}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

   * 0x1213141516171819L} would yield the byte array {@code {0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
   * 0x18, 0x19}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

  // will also be deleted. The name of the ResourceClaim will be <pod
  // name>-<resource name>, where <resource name> is the
  // PodResourceClaim.Name. Pod validation will reject the pod if the
  // concatenated name is not valid for a ResourceClaim (e.g. too long).
  //
  // An existing ResourceClaim with that name that is not owned by the
  // pod will not be used for the pod to avoid using an unrelated

* add more logging for azure disk diagnostics ([#70012](https://github.com/kubernetes/kubernetes/pull/70012), [@andyzhangx](https://github.com/andyzhangx))
* Fluentd: concatenate long logs ([#68012](https://github.com/kubernetes/kubernetes/pull/68012), [@desaintmartin](https://github.com/desaintmartin))

r  = float64(x*y) + z
r  = z; r += float64(x*y)
t  = float64(x*y); r = t + z
</pre>

<h4 id="String_concatenation">String concatenation</h4>

<p>
Strings can be concatenated using the <code>+</code> operator
or the <code>+=</code> assignment operator:
</p>

<pre>
s := "hi" + string(c)
s += " and good bye"
</pre>

<p>

*   Add a `tf.distribute.cluster_resolver.TPUClusterResolver.connect` API to
    simplify TPU initialization.
*   Add `tf.distribute.Strategy.gather` and
    `tf.distribute.ReplicaContext.all_gather` methods to gather and concatenate
    `tf.distribute.DistributedValues` across workers and devices.

### `tf.keras`:

*   Introduces experimental preprocessing layers API

r  = float64(x*y) + z
r  = z; r += float64(x*y)
t  = float64(x*y); r = t + z
</pre>

<h4 id="String_concatenation">String concatenation</h4>

<p>
Strings can be concatenated using the <code>+</code> operator
or the <code>+=</code> assignment operator:
</p>

<pre>
s := "hi" + string(c)
s += " and good bye"
</pre>

<p>