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Flet Python Course
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Flet Python Course

4.4

Learn to build real, cross-platform applications using Python and Flet — from your first Hello World to a fully deployed desktop, web, or mobile app. This course covers UI design, state management, async data fetching, and production deployment in one structured program. If you know Python basics, you have everything you need to start shipping apps.

Dedika for students

What your team will master:

This course takes you through every layer of Flet development, starting with environment setup and core controls, then advancing to state management, multi-page navigation, and async API integration. You will learn how to apply professional theming, build responsive layouts, and add dialogs and loading states that users expect in polished apps. Beyond the UI, you will connect your apps to REST APIs and SQLite databases, then package them for Windows, macOS, Linux, Android, iOS, and the web. Supplementary chapters cover testing strategies, custom reusable components, data visualization, authentication flows, and performance optimization.

How your team learns in practice Flet Python Course

How your team practices Flet Python Course

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Course Content

8 Chapters • 34 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Introduction to Flet and Python Setup

  • Lesson 1 • Installing Python and Flet

    Guides installation of Python 3.8+ and the Flet package via pip. Ensures every student has a verified, functional toolchain before writing code.

  • Lesson 2 • Your First Flet Application

    Builds a minimal Flet app using ft.app() and the Page object. Demonstrates the event loop and hot-reload workflow central to Flet development.

  • Lesson 3 • What Is Flet and Why Use It

    Covers Flet's role as a Flutter-based Python UI framework and its advantages over alternatives. Sets the conceptual foundation for all subsequent development work.

  • Lesson 4 • Configuring Your Code Editor

    Sets up VS Code or PyCharm with Flet-friendly extensions and linting. Proper editor configuration accelerates development throughout the course.

Chapter 2See details

Core Controls and Layout Fundamentals

  • Lesson 1 • Row, Column, and Stack Layouts

    Explains Flet's primary layout containers and their alignment properties. Correct layout usage is prerequisite to building any non-trivial UI.

  • Lesson 2 • Text, Icon, and Image Controls

    Introduces the most common display controls and their key properties. These controls appear in virtually every Flet application built later in the course.

  • Lesson 3 • Input Controls: TextField and Dropdown

    Teaches user input collection through TextField, Dropdown, and Checkbox controls. Connects to event handling introduced in the next section.

  • Lesson 4 • Container and Card Controls

    Uses Container and Card to apply borders, shadows, and background colors. These wrappers give visual structure to grouped UI elements.

  • Lesson 5 • Buttons and Click Events

    Covers ElevatedButton, TextButton, IconButton, and their on_click handlers. Establishes the event-driven pattern used throughout all interactive Flet apps.

Chapter 3See details

State Management and Page Updates

  • Lesson 1 • Dynamic Control Lists

    Teaches adding, removing, and reordering controls in page.controls and container children. Enables building lists and feeds that change at runtime.

  • Lesson 2 • Understanding Flet's State Model

    Explains the difference between control properties and rendered state. Clarifies why explicit page.update() calls are required after mutations.

  • Lesson 3 • Using Python Classes for State

    Encapsulates UI logic and state in Python classes to avoid global variables. This pattern scales to complex apps covered in later chapters.

  • Lesson 4 • Reactive Counters and Toggles

    Builds practical counter and toggle examples that reinforce the update cycle. Hands-on exercises solidify the state management concepts from prior sections.

Chapter 4See details

Navigation and Multi-Page Applications

  • Lesson 1 • Passing Data Between Views

    Demonstrates techniques for sharing data across views without global state. Clean data passing is critical for maintainable multi-page applications.

  • Lesson 2 • Page Views and the View Stack

    Introduces the View control and how Flet manages a stack of views. Understanding the view stack is essential before implementing any routing.

  • Lesson 3 • Navigation Rail and Bottom Navigation Bar

    Implements NavigationRail and NavigationBar for persistent navigation patterns. These components are standard in professional desktop and mobile apps.

  • Lesson 4 • URL-Based Routing with on_route_change

    Configures Flet's built-in routing via page.on_route_change and page.route. Enables deep-linkable, browser-compatible navigation for web deployments.

Chapter 5See details

Dialogs, Overlays, and User Feedback

  • Lesson 1 • AlertDialog and Confirmation Flows

    Builds modal AlertDialogs for confirmations and informational messages. Proper dialog management prevents common UI blocking bugs.

  • Lesson 2 • Progress Indicators and Loading States

    Adds ProgressBar and ProgressRing to communicate async operation status. Proper loading states are essential for apps that fetch data or process files.

  • Lesson 3 • BottomSheet and Drawer Controls

    Implements BottomSheet for contextual actions and Drawer for side navigation. Both controls are common in mobile-first Flet applications.

  • Lesson 4 • SnackBar and Banner Notifications

    Uses SnackBar and Banner to deliver non-blocking feedback messages. These controls follow standard UX conventions for transient notifications.

Chapter 6See details

Async Programming and Data Integration

  • Lesson 1 • Reading and Writing Local Files

    Integrates Python file I/O with Flet's FilePicker control for reading and saving data. Enables offline-capable desktop applications.

  • Lesson 2 • Fetching Data with httpx

    Uses the httpx library to make async HTTP GET and POST requests. Fetched data is then rendered into Flet controls in subsequent sections.

  • Lesson 3 • Connecting to a SQLite Database

    Uses Python's sqlite3 module to persist and query structured data from a Flet app. Provides a complete local data layer for CRUD applications.

  • Lesson 4 • Async Handlers in Flet

    Explains how Flet supports async event handlers natively and when to use them. Async handlers are the correct pattern for any I/O-bound operation.

  • Lesson 5 • Displaying Dynamic Lists from APIs

    Renders API response data into ListView and DataTable controls. Connects data-fetching skills to the layout and state skills from earlier chapters.

Chapter 7See details

Theming, Styling, and Responsive Design

  • Lesson 1 • Animations and Transitions

    Adds AnimatedSwitcher, AnimatedContainer, and implicit animations to enhance UX. Subtle motion improves perceived quality without complex custom code.

  • Lesson 2 • Typography and Custom Fonts

    Loads custom fonts and applies TextStyle across the application. Consistent typography is a key marker of professional UI quality.

  • Lesson 3 • Flet Theme System and ColorScheme

    Configures page.theme using ThemeData and ColorScheme for global styling. A unified theme eliminates ad-hoc color and font settings throughout the codebase.

  • Lesson 4 • Responsive Layouts with ResponsiveRow

    Uses ResponsiveRow and column breakpoints to adapt layouts to screen width. Responsive design is mandatory for apps targeting both desktop and mobile.

Chapter 8See details

Deployment and Distribution

  • Lesson 1 • Building for Android and iOS

    Configures Flet's mobile build pipeline for Android APK and iOS IPA targets. Mobile deployment requires platform-specific toolchains and manifest settings.

  • Lesson 2 • Packaging Desktop Executables

    Uses flet build to create standalone executables for Windows, macOS, and Linux. Standalone builds eliminate Python installation requirements for end users.

  • Lesson 3 • Running Flet as a Web App

    Deploys a Flet app to a web server using flet run --web and production hosting options. Web deployment exposes apps to any browser without installation.

  • Lesson 4 • Continuous Integration for Flet Apps

    Automates testing and builds using a CI pipeline with GitHub Actions or equivalent. Automated pipelines ensure consistent, reproducible deployments.

Certification

Your valid completion certificate

This course is for you:

  • Python hobbyists: ready to turn scripts into real graphical applications.

  • Backend developers: wanting to add a visual front end to their Python projects.

  • Data analysts: looking to wrap their Python pipelines in a shareable app interface.

  • Career changers: building a portfolio to break into software development roles.

  • Automation engineers: aiming to give their tools a professional, clickable interface.

  • Computer science students: seeking hands-on experience shipping complete cross-platform apps.

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