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Python tutorial · Beginner → Practical → Interview ready

Learn Python one clear idea at a time.

This tutorial starts from zero and builds toward real Python work. Every chapter begins with plain English, then a small runnable example, a common beginner mistake, practice, and the next step.

Start with Chapter 1 See the 31-chapter roadmap
Course outline

Python, divided into manageable learning groups.

You do not need to scan a wall of links. Each section groups related ideas so you always know where you are and what comes next. A Deep chapter available badge means that chapter already meets the current substantial-depth standard; the rest of the roadmap is being upgraded progressively rather than being counted as finished early.

01

Getting Started

3 chapters

  1. 01
    Welcome to PythonUnderstand what Python is, where it is used, and how this tutorial is organized.
  2. 02
    Install and Run PythonLearn the basic tools you need to run Python locally.
  3. 03
    Syntax and IndentationLearn why indentation is part of Python syntax.
02

Core Python

6 chapters

  1. 04
    Variables and ValuesStore values with meaningful names and update them safely.Deep chapter available
  2. 05
    Numbers and OperatorsWork with integers, decimals, arithmetic, and comparisons.Deep chapter available
  3. 06
    StringsCreate, combine, inspect, and format text.Deep chapter available
  4. 07
    Booleans and ComparisonsRepresent yes/no conditions and combine them safely.Deep chapter available
  5. 08
    If, Elif, and ElseChoose which code should run based on conditions.Deep chapter available
  6. 09
    LoopsRepeat work with for and while loops.Deep chapter available
03

Data Structures

5 chapters

  1. 10
    ListsStore an ordered, changeable collection of values.
  2. 11
    TuplesRepresent small ordered groups of values that should not be changed in place.
  3. 12
    SetsTrack unique values and perform membership operations.
  4. 13
    Dictionaries and Hash MapsMap stable keys to associated values and choose the right missing-key behavior.Deep chapter available
  5. 14
    ComprehensionsBuild collections from other collections with concise, readable expressions.
04

Functions & Modules

5 chapters

  1. 15
    FunctionsPackage reusable behavior behind clear inputs and outputs.
  2. 16
    ScopeUnderstand where names can be accessed and why local variables are useful.
  3. 17
    Modules and PackagesSplit code into files and import reusable functionality.
  4. 18
    Files and PathsRead and write files safely with clear resource handling.
  5. 19
    ExceptionsHandle expected failures without hiding real bugs.
05

Object-Oriented Python

2 chapters

  1. 20
    Classes and ObjectsGroup related data and behavior into objects when the domain benefits from it.
  2. 21
    Composition, Inheritance, and DataclassesChoose simple object relationships and reduce boilerplate for data-focused types.
06

Advanced Python

4 chapters

  1. 22
    Iterators and GeneratorsProcess values lazily instead of building every result at once.
  2. 23
    Decorators and Context ManagersWrap behavior and manage resource lifecycles with common Python patterns.
  3. 24
    Type HintsDocument expected data shapes and improve tooling without changing Python into a statically typed language.
  4. 25
    Async and ConcurrencyUnderstand when async code helps and when it adds unnecessary complexity.
07

Testing & Debugging

2 chapters

  1. 26
    Testing Python CodeWrite small tests that protect behavior and make refactoring safer.
  2. 27
    Debugging, Logging, and ProfilingFind why code is wrong before trying to make it faster.
08

Practical Python

3 chapters

  1. 28
    Virtual Environments and DependenciesKeep project dependencies isolated and reproducible.
  2. 29
    APIs, JSON, and DataRead structured data and prepare for real HTTP API work.
  3. 30
    Packaging, Projects, and Security BasicsTurn scripts into maintainable projects without leaking secrets or creating unsafe defaults.
09

Interview & Assessment

1 chapters

  1. 31
    Interview Review and Online TestReview the language as a whole, practice explaining decisions, and finish with an assessment.
Use what already exists

Connect the tutorial to deeper practice.

SubjectVision already has Python learning material worth reusing. These paths reinforce the same concepts instead of making you relearn them on duplicate pages.

Foundation reviewPython Programming Foundations

Review first-program thinking, data structures, execution flow, and debugging through the existing course experience.

 Practice · BeginnerTwo Sum with Indices

See a dictionary evolve step by step while you reason about complements, indexes, and lookup state.

 Practice · IntermediateSubarray Sum Equals K

Move from value→index state to prefix-sum→frequency state and test whether your mapping model really holds.
Learning journey

Learn → Practice → Prepare → Test.

The tutorial is the spine. Use deeper practice, interview drills, and full assessments when they genuinely match what you have learned; the whole Python roadmap stays available even while those supporting experiences grow.

01 · LearnStart Chapter 1

Begin the grouped beginner-first chapter sequence and use Previous/Next to keep your place.

 02 · PracticeCoding Problems

Build execution and data-structure reasoning with trace-first problems such as Two Sum and Subarray Sum.

 03 · PrepareCurrent deep interview pack

Practice explaining Python dictionary and hash-map decisions aloud. Broader Python interview coverage will grow with the tutorial.

 04 · TestCurrent full Online Test

Use the validated dictionary assessment: 25 distinct randomized questions per attempt from the current question bank.
How each chapter teaches

Read less. Understand more.

Each chapter follows the same beginner-friendly rhythm so learning effort goes into Python rather than figuring out the page.

1Plain-English idea2Small working example3Common beginner mistake4Recap + practice