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🐍 FREE 30-DAY SERIES

30 Days of Python Interview
Questions & Answers

A structured Python interview prep series for data analysts — one topic per day, from variables to Pandas, EDA, automation, and real-world coding challenges.

30
Days
150+
Questions
Free
Always
Also in this series:📗 Excel 30 Days🗄️ SQL 30 Days📊 Power BI 30 Days

Week 1 — Python Foundations

Day 1Basics

Python Basics — Variables, Data Types & Print

6 questions →

Day 2Strings

Strings — Manipulation & Methods

6 questions →

Day 3Lists

Lists — Operations & Methods

6 questions →

Day 4Collections

Dictionaries & Sets

5 questions →

Day 5Control Flow

Conditionals & Loops

5 questions →

Day 6Functions

Functions — Definition, Arguments & Scope

5 questions →

Day 7File I/O

File Handling & Error Handling

5 questions →

Week 2 — NumPy, Pandas & Data Import

Day 8NumPy

NumPy Arrays — Fundamentals

5 questions →

Day 9Pandas

Pandas Series — The Foundation

5 questions →

Day 10DataFrames

DataFrames — Core Operations

5 questions →

Day 11Data Import

Reading CSV, Excel & JSON Files

5 questions →

Day 12Data Cleaning

Data Cleaning — The Core Skill

5 questions →

Day 13Data Quality

Handling Nulls & Outliers

5 questions →

Day 14GroupBy

GroupBy & Pivot Tables

5 questions →

Week 3 — Cleaning, EDA & Visualisation

Day 15Merging

Merging & Joining DataFrames

5 questions →

Day 16String & Date

String & Date Operations

5 questions →

Day 17Visualisation

Matplotlib — Charts & Plots

5 questions →

Day 18Seaborn

Seaborn — Statistical Visualisation

5 questions →

Day 19EDA

EDA — Exploratory Data Analysis Workflow

5 questions →

Day 20Statistics

Descriptive Statistics

5 questions →

Day 21Statistics

Correlation & Hypothesis Testing

5 questions →

Week 4 — Real-World & Interview Prep

Day 22Feature Engineering

Feature Engineering Basics

5 questions →

Day 23Performance

apply(), map(), and Vectorisation

5 questions →

Day 24Automation

Excel Automation with Python

5 questions →

Day 25SQL Integration

SQL with Python — pandas & SQLAlchemy

5 questions →

Day 26Advanced Python

List Comprehensions, Generators & Functional Tools

5 questions →

Day 27OOP

OOP Basics for Data Analysts

5 questions →

Day 28Best Practices

Virtual Environments & Python Best Practices

5 questions →

Day 29Coding Practice

Python Coding Challenges for Analysts

5 questions →

Day 30Mock Interview

Python Mock Interview — Real Questions & Model Answers

5 questions →

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