New translations querying-with-python.mdx (Italian)

website/pages/it/querying/querying-with-python.mdx

@@ -2,55 +2,55 @@
 title: Subgrounds
 ---
 
-Subgrounds is an intuitive Python library for querying subgraphs, built by [Playgrounds](https://playgrounds.network/). It allows you to directly connect subgraph data to a Python data environment, letting you use libraries like [pandas](https://pandas.pydata.org/) to perform data analysis!
+Subgrounds è una libreria Python intuitiva per query dei subgraph, realizzata da [Playgrounds](https://playgrounds.network/). Permette di collegare direttamente i dati dei subgraph a un ambiente dati Python, consentendo di utilizzare librerie come [pandas](https://pandas.pydata.org/) per eseguire analisi dei dati!
 
-Subgrounds offers a simple Pythonic API for building GraphQL queries, automates tedious workflows such as pagination, and empowers advanced users through controlled schema transformations.
+Subgrounds offre una semplice API Pythonic per la creazione di query GraphQL, automatizza i flussi di lavoro più noiosi come la paginazione, e dà agli utenti avanzati la possibilità di effettuare trasformazioni controllate dello schema.
 
-## Getting Started
+## Per cominciare
 
-Subgrounds requires Python 3.10 or higher and is available on [pypi](https://pypi.org/project/subgrounds/).
+Subgrounds richiede Python 3.10 o superiore ed è disponibile su [pypi](https://pypi.org/project/subgrounds/).
 
 ```bash
 pip install --upgrade subgrounds
 # or
 python -m pip install --upgrade subgrounds
 ```
 
-Once installed, you can test out subgrounds with the following query. The following example grabs a subgraph for the Aave v2 protocol and queries the top 5 markets ordered by TVL (Total Value Locked), selects their name and their TVL (in USD) and returns the data as a pandas [DataFrame](https://pandas.pydata.org/pandas-docs/dev/reference/api/pandas.DataFrame.html#pandas.DataFrame).
+Una volta installato, è possibile testare subgrounds con la seguente query. L'esempio seguente prende un subgraph per il protocollo Aave v2 e effettua query dei primi 5 mercati ordinati per TVL (Total Value Locked), seleziona il loro nome e il loro TVL (in USD) e restituisce i dati come pandas [DataFrame](https://pandas.pydata.org/pandas-docs/dev/reference/api/pandas.DataFrame.html#pandas.DataFrame).
 
 ```python
-from subgrounds import Subgrounds
+da subgrounds import Subgrounds
 
 sg = Subgrounds()
 
-# Load the subgraph
+# Caricare il subgraph
 aave_v2 = sg.load_subgraph(
     "https://api.thegraph.com/subgraphs/name/messari/aave-v2-ethereum")
 
-# Construct the query
+# Costruire la query
 latest_markets = aave_v2.Query.markets(
     orderBy=aave_v2.Market.totalValueLockedUSD,
     orderDirection='desc',
     first=5,
 )
-# Return query to a dataframe
+# Restituire la query a un dataframe
 sg.query_df([
     latest_markets.name,
     latest_markets.totalValueLockedUSD,
 ])
 ```
 
-## Documentation
+## Documentazione
 
-Subgrounds is built and maintained by the [Playgrounds](https://playgrounds.network/) team and can be accessed on the [Playgrounds docs](https://docs.playgrounds.network/subgrounds).
+Subgrounds è costruito e mantenuto dal team di [Playgrounds](https://playgrounds.network/) e si può accedere su [Playgrounds docs](https://docs.playgrounds.network/subgrounds).
 
-Since subgrounds has a large feature set to explore, here are some helpful starting places:
+Poiché le funzionalità di subgrounds sono numerose e tutte da esplorare, ecco alcuni punti di partenza utili:
 
-- [Getting Started with Querying](https://docs.playgrounds.network/subgrounds/getting_started/basics/)
-  - A good first step for how to build queries with subgrounds.
-- [Building Synthetic Fields](https://docs.playgrounds.network/subgrounds/getting_started/synthetic_fields/)
-  - A gentle introduction to defining synthetic fields that transform data defined from the schema.
-- [Concurrent Queries](https://docs.playgrounds.network/subgrounds/getting_started/async/)
-  - Learn how to level up your queries by parallelizing them.
-- [Exporting Data to CSVs](https://docs.playgrounds.network/subgrounds/faq/exporting/)
-  - A quick article on how to seemlessly save your data as CSVs for further analysis.
+-   [Introduzione alle query](https://docs.playgrounds.network/subgrounds/getting_started/basics/)
+    -   Un buon primo passo per costruire le query con subgrounds.
+-   [Costruire campi sintetici](https://docs.playgrounds.network/subgrounds/getting_started/synthetic_fields/)
+    -   Una leggera introduzione alla definizione di campi sintetici che trasformano i dati definiti dallo schema.
+-   [Query concorrenti](https://docs.playgrounds.network/subgrounds/getting_started/async/)
+    -   Imparate a migliorare le vostre query parallelizzandole.
+-   [Esportazione di dati in CSV](https://docs.playgrounds.network/subgrounds/faq/exporting/)
+    -   Un rapido articolo su come salvare senza problemi i dati in formato CSV per ulteriori analisi.