Querying Data in Snowflake using Python | AI Data Staudio
Welcome back to Snowflake Based Learning — your step-by-step channel for mastering Snowflake Analytics! ❄️
In this video, you’ll learn how to query data from Snowflake using Python step by step.
We’ll build on our previous tutorial (“How to Connect Snowflake to Python”) and run real SQL queries directly from Python — the right way.
Whether you’re a data analyst, data engineer, or just getting started with Snowflake + Python, this hands-on walkthrough will help you confidently extract, transform, and analyze data.
🧠 What You’ll Learn:
✅ How to execute SQL queries from Python using the Snowflake connector
✅ Fetching query results and loading them into Pandas DataFrames
✅ Writing parameterized and dynamic queries safely
✅ Query optimization and error handling tips
✅ Displaying results for quick data exploration
🧰 Tools Used:
Python 3.10+
snowflake-connector-python
Pandas
Jupyter Notebook / VS Code
🗂️ Code Snippet Example:
import snowflake.connector
import pandas as pd
Connect
conn = snowflake.connector.connect(
user='USERNAME',
password='PASSWORD',
account='ACCOUNT_NAME',
warehouse='COMPUTE_WH',
database='DEMO_DB',
schema='PUBLIC'
)
Run query
df = pd.read_sql("SELECT * FROM CUSTOMERS LIMIT 10;", conn)
print(df.head())
conn.close()
📚 Related Videos:
▶️ What is Snowflake? Cloud Data Warehouse Explained
▶️ How to Connect Snowflake to Python
▶️ Next Video: Building Your First Snowflake Dashboard
💬 Join the Conversation:
Comment below if you’d like me to share the full Python notebook for this tutorial — I’ll send you the link!
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