Pandas

Lesson in the Python for Data Analysis Roadmap · Stage 4: SQL Fundamentals

Last updated 14 September 2026

What is Pandas?

Pandas integrates with SQL through pd.read_sql(), which executes a SQL query against a database connection and returns the result as a DataFrame. This allows analysts to leverage SQL for initial data extraction and filtering while using Pandas for downstream manipulation and analysis.

Study this in the interactive course See the whole Python for Data Analysis roadmap

Free resources to learn Pandas

Official docspandas.read_sql
VideoRead Write Data From Database (read_sql, to_sql)

Pandas: common questions

Can I learn Pandas in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Pandas in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Pandas tutorial for beginners?

It is lesson 35 of 112 in the free Python for Data Analysis roadmap, in stage 4, SQL Fundamentals. If you are new to Python for Data Analysis, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.