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Python Programming Playbook

Modelled after expense tracker, Quiz Game, Weather App

A step-by-step guide to Python for beginners, built around small projects you write and run yourself. You start with variables and loops and finish with files, functions, classes and APIs, with full source code for every chapter. It is the foundation for every AI, Machine Learning and Data Science playbook on Elexa AI.
๐Ÿ“– 0 Chapters๐ŸŽฏ Beginnerโฑ๏ธ ~20 hours๐Ÿ‘จโ€๐Ÿ’ป Elexa AI Team
Python 3VS CodeJSONCSVREST APIsRequests
$19.99
  • โœ“ Lifetime access
  • โœ“ All chapters + source
  • โœ“ Elexa dashboard access

Overview

About This Playbook

Learn Python by Writing Real Code

Python is the language behind modern AI, Machine Learning and Data Science. It is also one of the easiest programming languages to start with. This playbook takes you from your first line of Python to writing small, complete programs you can run, change and show to others.

Instead of long theory, every chapter follows the same pattern. First you see why a concept matters. Then you get a plain-language explanation, a worked example with annotated code, and a short project where you put it to use. Each chapter ends with a checklist, and AI prompts you can use to practise further or get unstuck.

What you will build

As you work through the playbook, you write a set of small programs, such as a command-line expense tracker, a quiz game, a file organiser and a weather app that calls a live API. Each one uses the skills from the chapters before it, so by the end you have a folder of working projects and the full source code for all of them.

What the playbook covers

You start with setting up Python and VS Code, then move through variables, data types, conditions, loops and functions. From there you work with lists, dictionaries and sets, read and write files, handle errors properly and organise code into modules. Later chapters introduce object-oriented programming with classes, working with JSON and CSV data, installing packages with pip, using virtual environments and calling REST APIs.

Who this playbook is for

It is written for complete beginners, career changers and students who want a practical start in Python. It also suits developers from other languages who want a quick, project-based way to get comfortable with Python before moving into AI or Data Science.

What You'll Build

What you build and learn in this playbook.

Project in every chapter

Each concept is applied straight away in a small program you build and run yourself.

Full source code

Complete, working code for every chapter so you can compare, debug and reuse it.

Explanation first

Plain-language explanations come before the code, so you understand why it works, not just what to type.

AI prompts to practise

Ready-to-use prompts for ChatGPT or Claude to get extra exercises, explanations and hints.

Checklists

A short checklist at the end of each chapter so you know what you have covered before moving on.

Foundation for AI

Built to prepare you for the Data Analysis, Machine Learning and AI playbooks.

What you'll learn

  • โœ“Set up Python, VS Code and virtual environments on your own computer
  • โœ“Write programs using variables, conditions, loops and functions
  • โœ“Store and work with data using lists, dictionaries and sets
  • โœ“Read and write text, CSV and JSON files
  • โœ“Handle errors so your programs do not crash
  • โœ“Organise code into modules and use packages from pip
  • โœ“Build classes and objects with object-oriented programming
  • โœ“Call a REST API and use the data in your own program
  • โœ“Read and debug Python code written by others or by AI tools

Prerequisites

  • โœ“No programming experience needed
  • โœ“A computer running Windows, macOS or Linux
  • โœ“Basic comfort using files and folders

Who it's for

  • โœ“Complete beginners who want to start programming
  • โœ“Students preparing for AI, Machine Learning or Data Science
  • โœ“Career changers moving into tech
  • โœ“Developers from other languages who want to pick up Python quickly

Who Builds These Playbooks

E

Elexa AI Team

Architecture-first ยท Production-style code ยท AI prompts in every chapter

Every Elexa playbook is written around one rule: explain the why before the code. Each chapter moves from the concept and its tradeoffs to annotated, production-style code, checklists and ready-to-use AI prompts, so you understand the system you're building, not just the snippets.

Frequently Asked Questions

Is this playbook suitable for complete beginners?

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Yes. It starts with installing Python and writing your first line of code. No previous programming experience is needed.

How is a playbook different from a video course?

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A playbook is a step-by-step written guide with projects and full source code. You work at your own pace, copy and run the code, and build something in every chapter instead of watching videos.

Do I get the source code?

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Yes. Every chapter comes with complete, working source code.

Which version of Python does it use?

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It uses Python 3. All examples run on Windows, macOS and Linux.

What should I learn after this playbook?

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The next step on the Elexa AI Learning Path is the Data Analysis playbook, followed by Machine Learning.

Do I need Python for AI and Machine Learning?

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Yes. Python is the main language used for AI, Machine Learning and Data Science, which is why this playbook comes first on the Learning Path.

Python Programming Playbook

Ready to start?

One payment. Lifetime access. Real code you can ship.

$19.99
  • โœ“ Lifetime access
  • โœ“ All chapters + source
  • โœ“ Elexa dashboard access
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