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---
mapped_pages:
- https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/getting-started-python.html
- https://www.elastic.co/guide/en/serverless/current/elasticsearch-python-client-getting-started.html
---
# Getting started [getting-started-python]
This page guides you through the installation process of the Python client, shows you how to instantiate the client, and how to perform basic Elasticsearch operations with it.
### Requirements [_requirements]
* [Python](https://www.python.org/) 3.9 or newer
* [`pip`](https://pip.pypa.io/en/stable/), installed by default alongside Python
### Installation [_installation]
To install the latest version of the client, run the following command:
```shell
python -m pip install elasticsearch
```
Refer to the [*Installation*](/reference/installation.md) page to learn more.
### Connecting [_connecting]
You can connect to the Elastic Cloud using an API key and the Elasticsearch endpoint.
```py
from elasticsearch import Elasticsearch
client = Elasticsearch(
"https://...", # Elasticsearch endpoint
api_key="api_key",
)
```
Your Elasticsearch endpoint can be found on the **My deployment** page of your deployment:

You can generate an API key on the **Management** page under Security.

For other connection options, refer to the [*Connecting*](/reference/connecting.md) section.
### Operations [_operations]
Time to use Elasticsearch! This section walks you through the basic, and most important, operations of Elasticsearch. For more operations and more advanced examples, refer to the [*Examples*](/reference/examples.md) page.
#### Creating an index [_creating_an_index]
This is how you create the `my_index` index:
```py
client.indices.create(index="my_index")
```
Optionally, you can first define the expected types of your features with a custom mapping.
```py
mappings = {
"properties": {
"foo": {"type": "text"},
"bar": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256,
}
},
},
}
}
client.indices.create(index="my_index", mappings=mappings)
```
#### Indexing documents [_indexing_documents]
This indexes a document with the index API:
```py
client.index(
index="my_index",
id="my_document_id",
document={
"foo": "foo",
"bar": "bar",
}
)
```
You can also index multiple documents at once with the bulk helper function:
```py
from elasticsearch import helpers
def generate_docs():
for i in range(10):
yield {
"_index": "my_index",
"foo": f"foo {i}",
"bar": "bar",
}
helpers.bulk(client, generate_docs())
```
These helpers are the recommended way to perform bulk ingestion. While it is also possible to perform bulk ingestion using `client.bulk` directly, the helpers handle retries, ingesting chunk by chunk and more. See the [*Client helpers*](/reference/client-helpers.md) page for more details.
#### Getting documents [_getting_documents]
You can get documents by using the following code:
```py
client.get(index="my_index", id="my_document_id")
```
#### Searching documents [_searching_documents]
This is how you can create a single match query with the Python client:
```py
client.search(index="my_index", query={
"match": {
"foo": "foo"
}
})
```
#### Updating documents [_updating_documents]
This is how you can update a document, for example to add a new field:
```py
client.update(
index="my_index",
id="my_document_id",
doc={
"foo": "bar",
"new_field": "new value",
}
)
```
#### Deleting documents [_deleting_documents]
```py
client.delete(index="my_index", id="my_document_id")
```
#### Deleting an index [_deleting_an_index]
```py
client.indices.delete(index="my_index")
```
## Further reading [_further_reading]
* Use [*Client helpers*](/reference/client-helpers.md) for a more comfortable experience with the APIs.
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