Build responsive applications with google flutter

Oct 18, 20205 likes1,183 views

The document discusses responsive design in Flutter applications. It provides information on building responsive layouts that adapt to different screen sizes by using techniques like breakpoints, columns, gutters and margins. It also mentions the ResponsiveBuilder and MediaQuery widgets that can help determine screen width and device mode to update the UI based on breakpoints. The last part encourages attendees to check Ahmed's YouTube channel and GitHub for more resources on building responsive Flutter web applications.

Ahmed Abu Eldahab
GDE Flutter & Dart
@dahabdev
Build responsive
applications with
Google Flutter
Slides: bit.ly/flutter-web-part3

Ahmed Abu Eldahab
Google Developer Expert in Flutter & Dart
Senior Technical Consultant
Kortobaa LLC CTO
/Dahabdev

Flutter is Google’s UI toolkit
for building beautiful,
natively compiled
applications for mobile, web,
and desktop from a single
codebase

https://flutter.dev/docs/whats-new

Dev Tools in VS Code Flutter 1.20
https://dartcode.org/releases/

Auto Import - VS Code Flutter 1.20
https://dartcode.org/releases/

New visual appeals
Slider - RangeSlider - DatePicker - TimePicker
Flutter 1.20

Interactive Viewer - drag n’ drop widgets
Flutter 1.20

Pigeon
https://pub.dev/packages/pigeon
Flutter 1.20

Performance improvement
Icon & fonts tree shaking
Flutter 1.20

Flutter 1.22
Android 11 better animation

Flutter 1.22
https://flutter.dev/docs/development/ios-14
ios 14 support

Flutter 1.22
Google Maps and
WebView plugins ready
for production

Flutter 1.22
Expanding the Button “universe”

Flutter 1.22
App size analysis tool
--analyze-size
- flutter build apk
- flutter build appbundle
- flutter build ios
- flutter build linux
- flutter build macos
- flutter build windows

Google Pay picks Flutter
to drive its global
product development

Why should I care ?
● Provide better user experience (UX)
● Mobile Web
● Desktop
● Tablets

Responsive layout grid
- Columns
- Gutters
- Margins
1. Columns 2. Gutters 3. Margins

Breakpoints
https://material.io/design/layout/responsive-layout-grid.html

ios
Android
https://material.io/design/layout/responsive-layout-grid.html

Common breakpoints
https://developer.android.com/training/multiscreen/screensizes.html

Device preview
https://pub.dev/packages/device_preview

Flutter UI support widgets
LayoutBuilder MediaQuery
https://www.youtube.com/watch?v=IYDVcriKjsw https://www.youtube.com/watch?v=A3WrA4zAaPw

Breakpoints
Get Screen width
Get device mode

Breakpoints
Get Screen width
Get device mode
Set breakpoint and update the UI

Breakpoints
Get Screen width
Get device mode
Set breakpoint and update the UI
Is this the only way ?

Breakpoints
https://pub.dev/packages/responsive_builder

Build responsive applications with google flutter

https://github.com/dahabit/flutter-web-session2

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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak

As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.

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What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora

Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.

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How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers

Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach. Read More:- https://www.esofttools.com/nsf-to-pst-converter.html

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🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍 Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited. Here's a more detailed breakdown: Motion Graphics: . After Effects is powerful for creating animated titles, transitions, and other visual elements to enhance the look of videos and presentations. Visual Effects: . It's used extensively in film and television for creating special effects like green screen compositing, object manipulation, and other visual enhancements. Video Compositing: . After Effects allows users to combine multiple video clips, images, and graphics to create a final, cohesive visual. Animation: . It uses keyframes to create smooth, animated sequences, allowing for precise control over the movement and appearance of objects. Integration with Adobe Creative Cloud: . After Effects is part of the Adobe Creative Cloud, a suite of software that includes other popular applications like Photoshop and Premiere Pro. Post-Production Tool: . After Effects is primarily used in the post-production phase, meaning it's used to enhance the visuals after the initial editing of footage has been completed.

Not So Common Memory Leaks in Java WebinarTier1 app

This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.

Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri

AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions

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Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora

Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.

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Requirements in Engineering AI- Enabled Systems: Open Problems and Safe AI Sy...Lionel Briand

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Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup

In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals. This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft. What You’ll Learn in Part 2: Explore real-world nonprofit use cases and success stories. Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!