Python for Everybody
Learn Python from zero to building data-driven apps. A 5-module beginner track covering data structures, web data retrieval, APIs, databases, OOP, and a capstone project.
- Daily plan, 45-60 min a day
- 25 lessons + 75 exercises
- AI tutor included
- No prior coding experience required
- Practice tasks every day
- Build impressive portfolio project
What you will learn
A powered by mentors Beginner plan with structured subtopics, quizzes, and practice tasks.
Getting Started with Python
Install Python, run your first script, and explore coding environments.
Variables and Basic Data Types
Work with numbers, strings, and booleans through assignment and expressions.
Input, Output, and Conditions
Collect user input, format printed results, and make decisions with if/elif/else.
Loops and Repetition
Automate repeated tasks using while and for loops with range().
Writing Functions
Define reusable functions with parameters, return values, and proper scope.
Working with Strings
Index, slice, and transform text with Python's built-in string methods.
Lists and Sequence Operations
Create, modify, sort, and filter lists to handle ordered collections of data.
Dictionaries and Tuples
Store key-value pairs in dictionaries and use tuples for immutable data.
Reading and Writing Files
Open, read, write, and safely handle text files for persistent data storage.
Debugging and Error Handling
Read tracebacks, understand common errors, and use try/except to handle them.
Extracting Text with Regular Expressions
Find, extract, and transform text patterns using Python's re module.
Web Fundamentals for Python Developers
Understand HTTP requests, responses, status codes, and web data formats.
Fetching Web Data
Retrieve and parse online content from web pages using Python tools.
APIs and JSON
Send API requests, parse JSON responses, and extract useful data fields.
XML Processing
Load and extract values from XML documents using Python's standard library.
Database Fundamentals
Learn why databases exist and how the relational model organizes data into tables.
SQL with SQLite
Create tables and write SELECT, INSERT, UPDATE, and DELETE queries in SQLite.
Python and Databases
Connect Python to SQLite, store collected data, and read query results.
Relational Data Modeling
Design multi-table schemas using primary keys, foreign keys, and JOIN queries.
Object-Oriented Programming Basics
Model real-world entities with classes, attributes, methods, and object creation.
Planning a Python Data Project
Define a problem, design a data pipeline, and plan your project's outputs.
Data Collection and Cleaning
Gather raw data from files, APIs, or web pages and normalize it for storage.
Data Analysis
Summarize datasets with counts, averages, and category breakdowns.
Visualization and Reporting
Prepare data for charts and present findings clearly with visual output.
Capstone Project
Build a complete Python pipeline that collects, stores, analyzes, and visualizes real data.
See the quiz + practice flow
Three answered questions and a filled code task so you know exactly what to expect.
Quiz preview
2/3 correct1. How long is the Python for Everybody plan?
Correct2. What level is this Python for Everybody plan?
Incorrect3. Which of these appears in the Python for Everybody outline?
CorrectCode practice preview
SubmittedFormat a lesson title
Build a helper that formats a lesson label with a padded index and title.
Loved by Lifelong Learners
See how students, professionals, and forward-thinkers are upgrading their minds with Kavka.
“Python for Everybody gave me the structure I always needed. I finally finished a real project instead of another tutorial.”
“The practice tasks felt like real work, so the lessons actually stuck.”
“Thirty minutes a day and I was shipping again. The structure keeps me honest.”
Go from zero to a real Python project
25 structured lessons — variables, data structures, APIs, SQLite, OOP, and a capstone project that collects, cleans, and visualizes real data.
You might also like
Learn Python in 7 days
Beginner plan covering syntax, data types, functions, and small scripts.
Intermediate Python in 14 days
Level up with OOP, decorators, async programming, and testing in a focused two-week sprint.
Advanced Python in 30 days
Master metaclasses, performance profiling, concurrency, and production-grade Python patterns.