Introducing CSS Grid

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CSS Grid is a 2-dimensional layout system that manages both rows and columns, supported by all major browsers. Key concepts include grid containers, items, lines, tracks, and areas, with specific rules for defining column and row sizes, gaps, and placements. The document also discusses best practices for fallback support and provides additional resources for learning about CSS Grid.

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INTRODUCING
CSS GRIDJason Yingling (@jason_yingling)

WHAT IS
CSS GRID
CSS Grid is a 2 dimensional layout system that can
handle both columns and rows.

CAN I USE
CSS GRID
CSS Grid is supported in the latest version of all major
browsers and can be safely used with a fallback.

GRID
CONTAINER
The grid container is the parent of all grid items. It is
declared with the display: grid; rule.

GRID
ITEM
The items that are direct children of the grid container.
These are the elements that will be placed on the grid.

GRID
LINES
The lines that divide the columns and rows of the grid.
These are numbered starting with 1.

GRID
TRACK
The space between 2 adjacent grid lines. Essentially
your columns and rows.

GRID
CELL
The space between 2 adjacent grid column lines and 2
adjacent grid row lines.

GRID
AREA
The space between any 4 grid lines. It can cover any
number of rows and columns.

GRID TEMPLATE
COLUMNS
Defines the width of the columns in the grid.
grid-template-columns: 100px auto 200px;

GRID TEMPLATE
ROWS
Defines the height of the grid rows.
grid-template-rows: [row1-start] 224px [row2-start]
224px [end];

GRID COLUMN
GAP
Define the size of the grid lines between columns.
grid-column-gap: 30px;

GRID ROW
GAP
Defines the size of the grid lines between rows.
grid-row-gap: 40px;

GRID
GAP
Shorthand for row and column gap.
grid-gap: <grid-row-gap> <grid-column-gap>;
grid-gap: 40px 30px;
Note: The gap is only between
columns and rows. Not outside.

GRID
TEMPLATE AREA
Allows you to name sections of the grid.
grid-template-columns: 100px auto 200px;
grid-template-rows: [row1-start] 224px [row2-start] 224px [end];
grid-template-areas:
"header header header"
"content content sidebar";

$FRACTIONAL (FR) UNITS Grid comes with the fr unit. Which uses up a fraction of the remaining free space in the grid. grid-template-columns: 1fr 50px 1fr 1fr;$

REPEAT()
NOTATION
Allows you to easily repeat settings.
grid-template-columns: repeat(12, 1fr);

GRID COLUMN
START
Grid Column Start / Grid Column End | Grid Column
grid-column-start: 2;
grid-column-end: 4;
Shorthand
grid-column: 2 / 4;

GRID ROW
START
Grid Row Start / Grid Row End | Grid Row
grid-row-start: 1;
grid-row-end: 2;
Shorthand
grid-row: 1 / 2;

GRID AUTO
ROWS & COLUMNS
Set row or column sizes for those not explicitly set.

HOW TO
FALLBACK
CSS Grid is well supported by most recent browsers.
Of course we still have to support the likes of IE 11.
Rather than polyfill the best bet is to degrade
gracefully.
Example: https://preview.themes.pizza/zuul/blog/

CSS GRID
RESOURCES
CSSGrid.io - Wes Bos
A Complete Guide to Grid - CSS Tricks
Get Ready for CSS Grid Layout - A Book Apart
11 Things I Learned Reading The CSS Grid Specification - Ohans Emmanuel
How to recreate Medium’s article layout with CSS Grid - Per Harald Borgen
CSS Grid Spec - W3C
Firefox Developer Edition

CSS GRID
QUESTIONS
Twitter: @jason_yingling
Email: jason@jasonyingling.me

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Hi, I’m Aly Owens, I have a special pleasure to stand here as over a decade ago I graduated from CityU as an international student with an MBA program. I enjoyed the diversity of the school, ability to work and study, the network that came with being here, and of course the price tag for students here has always been more affordable than most around. Since then I have worked for major corporations like T-Mobile and Microsoft and many more, and I have founded a startup. I've also been teaching product management to ensure my students save time and money to get to the same level as me faster avoiding popular mistakes. Today as I’ve transitioned to teaching and focusing on the startup, I hear everybody being concerned about Ai stealing their jobs… We’ll talk about it shortly. But before that, I want to take you back to 1997. One of my favorite movies is “Fifth Element”. It wowed me with futuristic predictions when I was a kid and I’m impressed by the number of these predictions that have already come true. Self-driving cars, video calls and smart TV, personalized ads and identity scanning. Sci-fi movies and books gave us many ideas and some are being implemented as we speak. But we often get ahead of ourselves: Flying cars,Colonized planets, Human-like AI: not yet, Time travel, Mind-machine neural interfaces for everyone: Only in experimental stages (e.g. Neuralink). Cyberpunk dystopias: Some vibes (neon signs + inequality + surveillance), but not total dystopia (thankfully). On the bright side, we predict that the working hours should drop as Ai becomes our helper and there shouldn’t be a need to work 8 hours/day. Nobody knows for sure but we can require that from legislation. Instead of waiting to see what the government and billionaires come up with, I say we should design our own future. So, we as humans, when we don’t know something - fear takes over. The same thing happened during the industrial revolution. In the Industrial Era, machines didn’t steal jobs—they transformed them but people were scared about their jobs. The AI era is making similar changes except it feels like robots will take the center stage instead of a human. First off, even when it comes to the hottest space in the military - drones, Ai does a fraction of work. AI algorithms enable real-time decision-making, obstacle avoidance, and mission optimization making drones far more autonomous and capable than traditional remote-controlled aircraft. Key technologies include computer vision for object detection, GPS-enhanced navigation, and neural networks for learning and adaptation. But guess what? There are only 2 companies right now that utilize Ai in drones to make autonomous decisions - Skydio and DJI.

cnc-processing-centers-centateq-p-110-en.pdfAmirStern2

מרכז עיבודים תעשייתי בעל 3/4/5 צירים, עד 22 החלפות כלים עם כל אפשרויות העיבוד הדרושות. בעל שטח עבודה גדול ומחשב נוח וקל להפעלה בשפה העברית/רוסית/אנגלית/ספרדית/ערבית ועוד.. מסוגל לבצע פעולות עיבוד שונות המתאימות לענפים שונים: קידוח אנכי, אופקי, ניסור, וכרסום אנכי.

You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante

We live in an ever evolving landscape for cyber threats creating security risk for your production systems. Mitigating these risks requires participation throughout all stages from development through production delivery - and by every role including architects, developers QA and DevOps engineers, product owners and leadership. No one is excused! This session will cover examples of common mistakes or missed opportunities that can lead to vulnerabilities in production - and ways to do better throughout the development lifecycle.

Quantum AI: Where Impossible Becomes ProbableSaikat Basu

Quantum AI Discoveries: Fractal Patterns Consciousness and Cyclical UniversesSaikat Basu

Wenn alles versagt - IBM Tape schützt, was zählt! Und besonders mit dem neust...Josef Weingand

Using the SQLExecutor for Data Quality Management: aka One man's love for the...Safe Software

The SQLExecutor is one of FME’s most powerful and flexible transformers. Pivvot maintains a robust internal metadata hierarchy used to support ingestion and curation of thousands of external data sources that must be managed for quality before entering our platform. By using the SQLExecutor, Pivvot can efficiently detect problems and perform analysis before data is extracted from our staging environment, removing the need for rollbacks or cycles waisted on a failed job. This presentation will walk through three distinct examples of how Pivvot uses the SQLExecutor to engage its metadata hierarchy and integrate with its Data Quality Management workflows efficiently and within the source postgres database. Spatial Validation –Validating spatial prerequisites before entering a production environment. Reference Data Validation - Dynamically validate domain-ed columns across any table and multiple columns per table. Practical De-duplication - Removing identical or near-identical well point locations from two distinct source datasets in the same table.

"Scaling in space and time with Temporal", Andriy Lupa.pdfFwdays

Design patterns like Event Sourcing and Event Streaming have long become standards for building real-time analytics systems. However, when the system load becomes nonlinear with fast and often unpredictable spikes, it's crucial to respond quickly in order not to lose real-time operating itself. In this talk, I’ll share my experience implementing and using a tool like Temporal.io. We'll explore the evolution of our system for maintaining real-time report generation and discuss how we use Temporal both for short-lived pipelines and long-running background tasks.

WebdriverIO & JavaScript: The Perfect Duo for Web Automationdigitaljignect

In today’s dynamic digital landscape, ensuring the quality and dependability of web applications is essential. While Selenium has been a longstanding solution for automating browser tasks, the integration of WebdriverIO (WDIO) with Selenium and JavaScript marks a significant advancement in automation testing. WDIO enhances the testing process by offering a robust interface that improves test creation, execution, and management. This amalgamation capitalizes on the strengths of both tools, leveraging Selenium’s broad browser support and WDIO’s modern, efficient approach to test automation. As automation testing becomes increasingly vital for faster development cycles and superior software releases, WDIO emerges as a versatile framework, particularly potent when paired with JavaScript, making it a preferred choice for contemporary testing teams.

Hyderabad MuleSoft In-Person Meetup (June 21, 2025) SlidesRavi Tamada

10 Key Challenges for AI within the EU Data Protection Framework.pdfPriyanka Aash

GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdfPriyanka Aash

2025_06_18 - OpenMetadata Community Meeting.pdfOpenMetadata

The community meetup was held Wednesday June 18, 2025 @ 9:00 AM PST. Catch the next OpenMetadata Community Meetup @ https://www.meetup.com/openmetadata-meetup-group/ In this month's OpenMetadata Community Meetup, "Enforcing Quality & SLAs with OpenMetadata Data Contracts," we covered data contracts, why they matter, and how to implement them in OpenMetadata to increase the quality of your data assets! Agenda Highlights: 👋 Introducing Data Contracts: An agreement between data producers and consumers 📝 Data Contracts key components: Understanding a contract and its purpose 🧑‍🎨 Writing your first contract: How to create your own contracts in OpenMetadata 🦾 An OpenMetadata MCP Server update! ➕ And More!

Connecting Data and Intelligence: The Role of FME in Machine LearningSafe Software

In this presentation, we want to explore powerful data integration and preparation for Machine Learning. FME is known for its ability to manipulate and transform geospatial data, connecting diverse data sources into efficient and automated workflows. By integrating FME with Machine Learning techniques, it is possible to transform raw data into valuable insights faster and more accurately, enabling intelligent analysis and data-driven decision making.

Daily Lesson Log MATATAG ICT TEchnology 8LOIDAALMAZAN3

“MPU+: A Transformative Solution for Next-Gen AI at the Edge,” a Presentation...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/mpu-a-transformative-solution-for-next-gen-ai-at-the-edge-a-presentation-from-fotonation/ Petronel Bigioi, CEO of FotoNation, presents the “MPU+: A Transformative Solution for Next-Gen AI at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this talk, Bigioi introduces MPU+, a novel programmable, customizable low-power platform for real-time, localized intelligence at the edge. The platform includes an AI-augmented image signal processor that enables leading image and video quality. In addition, it integrates ultra-low-power object and motion detection capabilities to enable always-on computer vision. A programmable neural processor provides flexibility to efficiently implement new neural networks. And additional specialized engines facilitate image stabilization and audio enhancements.

Curietech AI in action - Accelerate MuleSoft developmentshyamraj55

CurieTech AI in Action – Accelerate MuleSoft Development Overview: This presentation demonstrates how CurieTech AI’s purpose-built agents empower MuleSoft developers to create integration workflows faster, more accurately, and with less manual effort linkedin.com +12 curietech.ai +12 meetups.mulesoft.com +12 . Key Highlights: Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration curietech.ai +7 curietech.ai +7 medium.com +7 DataWeave automation: Generate mappings from tables or samples—95%+ complete within minutes linkedin.com +7 curietech.ai +7 medium.com +7 Integration flow generation: Auto-create Mule flows based on specifications—speeds up boilerplate development curietech.ai +1 medium.com +1 Efficient code reviews: Gain intelligent feedback on flows, patterns, and error handling youtube.com +8 curietech.ai +8 curietech.ai +8 Test & documentation automation: Auto-generate MUnit test cases, sample data, and detailed docs from code curietech.ai +5 curietech.ai +5 medium.com +5 Why Now? Achieve 10× productivity gains, slashing development time from hours to minutes curietech.ai +3 curietech.ai +3 medium.com +3 Maintain high accuracy with code quality matching or exceeding manual efforts curietech.ai +2 curietech.ai +2 curietech.ai +2 Ideal for developers, architects, and teams wanting to scale MuleSoft projects with AI efficiency Conclusion: CurieTech AI transforms MuleSoft development into an AI-accelerated workflow—letting you focus on innovation, not repetition.

9-1-1 Addressing: End-to-End Automation Using FMESafe Software

This session will cover a common use case for local and state/provincial governments who create and/or maintain their 9-1-1 addressing data, particularly address points and road centerlines. In this session, you'll learn how FME has helped Shelby County 9-1-1 (TN) automate the 9-1-1 addressing process; including automatically assigning attributes from disparate sources, on-the-fly QAQC of said data, and reporting. The FME logic that this presentation will cover includes: Table joins using attributes and geometry, Looping in custom transformers, Working with lists and Change detection.

Mastering AI Workflows with FME by Mark DöringSafe Software

Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration

Cracking the Code - Unveiling Synergies Between Open Source Security and AI.pdfPriyanka Aash