Begin by establishing a Snowflake account if you haven't already. Configure your Snowflake environment by creating a warehouse, database, and schema where you intend to store the data. This is essential for organizing your data once it's transferred.

Ensure you have the necessary Python libraries to interact with both PyPI and Snowflake. Use the following command to install them:
```bash
pip install requests snowflake-connector-python
```
`requests` will be used to fetch data from PyPI, and `snowflake-connector-python` will establish the connection to Snowflake.

Use the `requests` library to get the data from PyPI. For example, if you want to retrieve package metadata, you can use PyPI's JSON API:
```python
import requests

package_name = 'example-package'
url = f'https://pypi.org/pypi/{package_name}/json'
response = requests.get(url)
data = response.json()
```
Modify the `package_name` variable to fetch the data for the specific package you're interested in.

Extract the relevant information from the JSON response. Convert it into a format suitable for Snowflake, such as CSV or a list of dictionaries:
```python
import csv

package_info = data['info']
with open('package_data.csv', 'w', newline='') as csvfile:
fieldnames = package_info.keys()
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
writer.writerow(package_info)
```

Use the Snowflake connector to log in and establish a session with your Snowflake account:
```python
import snowflake.connector

conn = snowflake.connector.connect(
user='YOUR_USERNAME',
password='YOUR_PASSWORD',
account='YOUR_ACCOUNT',
warehouse='YOUR_WAREHOUSE',
database='YOUR_DATABASE',
schema='YOUR_SCHEMA'
)
```

Before loading the data, create a table in Snowflake that matches the structure of your data. You can use the `CREATE TABLE` command for this purpose:
```sql
CREATE TABLE IF NOT EXISTS package_info (
name STRING,
version STRING,
summary STRING,
author STRING,
license STRING
);
```

Use the Snowflake connection to load the prepared data into the table. You can utilize the `PUT` and `COPY INTO` commands for this:
```python
with conn.cursor() as cur:
cur.execute("""
PUT file://path/to/package_data.csv @%package_info;
COPY INTO package_info
FROM @%package_info
FILE_FORMAT = (TYPE = 'CSV' FIELD_OPTIONALLY_ENCLOSED_BY='"');
""")
```
Replace `path/to/package_data.csv` with the actual CSV file path on your system.

By following these steps, you'll be able to transfer data from PyPI to Snowflake using Python, ensuring a streamlined process without relying on third-party connectors or integrations.