Python basics practice

Python basics practice for learners who want the fundamentals to stick.

Use this hub when you know the ideas from a tutorial but still need repetition. The practice path moves from values and decisions into collections, dictionaries, functions, and safer input handling.

Start with Convert Data Types View full curriculum

Core topics

Syntax, lists, dictionaries, functions, input

Practice goal

Turn basic concepts into reliable habits

Format

Browser lessons with examples and tests

Access

Links use verified public preview lessons

Practice plan

Basics practice should connect syntax to real problem patterns.

Python basics are not just vocabulary. You need to know when to use a comparison, when a list is the right structure, when a dictionary makes lookup easier, and when input should be validated before the rest of the function runs.

This page is organized as a practical review path. It is useful after you have watched a beginner course, before you start DSA, or whenever you notice that simple coding questions still take too long because the fundamentals are shaky.

Lesson groups

Pick the group that matches what you need to practice next.

Foundation

Review values, types, and decisions

Start here when a question depends on reading a value correctly and choosing the right branch. These basics show up inside almost every later Python problem.

Variables

Define a Variable

Create a named value and use it in later expressions.

Strings

Store a String

Practice assigning text values without fighting Python syntax.

Type conversion

Convert Data Types

Turn strings and numbers into the form a problem expects.

Conditionals

Check Even or Odd

Use modulo and if statements to make a simple decision.

Comparisons

Compare Two Numbers

Use equality and greater-than checks to return the right result.

Collections

Practice list creation, indexing, slicing, and iteration

Lists are the bridge between basic syntax and algorithm practice. Work through creating, reading, slicing, counting, and transforming lists before attempting harder array-style problems.

Lists

Create a List of Integers From 1 to N

Build a list from a numeric range and return the expected values.

Indexing

Access Elements by Positive and Negative Index

Read from the front and back of a list with confidence.

Slicing

Slice a List to Get First and Last Three Items

Use slice boundaries to return the part of a list you need.

Loops

Print List Items

Walk through each list item in order and produce output.

Mapping

Transform Each Item in a List

Apply the same operation to every item in a collection.

Uniqueness

Extract Unique Elements While Keeping Order

Remove repeats without changing the order of first appearances.

Lookup

Use dictionaries for keyed data

Dictionaries are essential for lookups, counters, and structured beginner problems. These lessons keep the scope basic: create data, retrieve a value, update entries, and handle missing keys cleanly.

Dictionaries

Build a Phonebook Dictionary

Map names to values and return structured lookup data.

Dictionary lookup

Get a Value From a Dictionary With a Default

Avoid missing-key failures by returning a fallback value.

Dictionary updates

Add and Remove Dictionary Entries

Practice changing dictionary contents in a controlled way.

Reliability

Finish with functions and safer input

A basics practice session should end with functions because tests usually call your function directly. Add input validation so your beginner code handles messy cases instead of only the happy path.

Functions

Define a Function That Adds Two Numbers

Write a reusable function with parameters and a return value.

Return values

Write a Function That Returns a Greeting

Use a parameter to build predictable text output.

Function logic

Implement a Function to Find the Maximum of Three

Combine comparisons inside a function body.

Input validation

Validate Integer Input

Check input before using it in a calculation.

Errors

Safe Divide With Default

Handle division edge cases without crashing the program.

Parsing

Parse Float or None

Convert numeric text and return a safe fallback for bad input.

Free preview vs full access

How the public practice path fits the paid curriculum

The lessons linked here are public preview lessons that are accessible without login. They give searchers and new learners enough real work to understand how PySchool.ai practice feels: read a prompt, write code, run tests, and improve the answer.

The full curriculum is still the source of the complete sequence. Paid access unlocks the rest of the lesson library and the broader AI support features, while the free preview keeps the entry-level basics discoverable and useful.

Public preview

Open selected beginner lessons and practice in the browser before signing in.

Full curriculum

Unlock the broader lesson sequence, premium practice, and full AI assistance.

Related practice paths