# Python Quick-Start

* Demos on how to connect a lake, create a table, encrypt data, and insert and query encrypted data. 
* You can check out [Python API Reference](/mind-lake-sdk/python-api-reference.md) for more advanced functions.

##

## Preparation

If you need to configure Python local environment, please visit our step-by-step tutorial for Python:

{% embed url="<https://github.com/mind-network/mind-lake-sdk-python/blob/main/tutorial/README.md>" %}

## Source Code

```python
'''
Python Quick Start
pip install MindLake
copy env-template.py into env.py and replace with your own details
'''

import env
import mindlakesdk

# 1. connect to MindLake, '5' is example of Goerli Testnet chainID
chainID = '5'
mind = mindlakesdk.connect(env.walletPrivateKeyAlice, env.appKey, chainID)
assert mind, mind.message

# 2. create a table
result = mind.datalake.createTable('test_table_enc',
        [
            mind.datalake.Column('id', mind.DataType.int4, False),
            mind.datalake.Column('token', mind.DataType.text, True)
        ])
assert result, result.message

# 3. encrypt data
result = mind.cryptor.encrypt('USDT','test_table_enc.token')
assert result, result.message
encryptedTokenName = result.data

# 4. insert encrypted data
result = mind.datalake.query(f"""INSERT INTO test_table_enc (id, token) 
VALUES (1, '{encryptedTokenName}')""")
assert result, result.message

# 5. query encrypted data
result = mind.datalake.query("SELECT token FROM test_table_enc")
assert result, result.message
print(result.data['columnList'][0])
for row in result.data['data']:
    result = mind.cryptor.decrypt(row[0])
    assert result, result.message
    print(result.data)
```

## Execution Output

```
token
USDT
```


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