Introduction of EC-CUBE 4.0

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Introduction of most popular eCommerce CMS in Japan at PHP Conference Asia 2018.

Introduction of EC-CUBE 4.0
PHPConf.Asia 2018

What is “EC-CUBE”?

日本製

● PHP 7.1~
● Symfony 3
● Twig Template
● MySQL / PostgreSQL / SQLite
● Apache / Nginx / IIS

● 2006: First Version by LOCKON Co., Ltd.
● 2007: Version 2
○ PEAR, MVC, Original framework
● 2015: Version 3
○ Silex
● 2018: Version 4
○ Symfony 3

● GPL
● The budget range of developing web
shop using EC-CUBE :
$5,000~$2,000,000
● Over $150,000,000,000 transaction
per month on EC-CUBE

Over 30,000 stores are running

Easy to customize

Why not Magento or
WooCommerce

Because...
EC-CUBE is
Popular in Japan!

Japan

Why “Made in Japan” is so
important for Japanese people

First name Last nameName:
StateState:
Street nameStreet:
Unit No. Building nameUnit:
CityCity:
F j, YBirthday:
Last name First name名前:
State都道府県:
Street name町名:
Unit No. Building name建物名:
City市町村区:
Y年m月d日誕生日:
Price: $5.40 価格: 540円

Plug-in

Thanks
https://github.com/EC-CUBE/ec-cube
＃eccube

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Unlocking the Future of AI Agents with Large Language Models

Unlocking the Future of AI Agents with Large Language Models

Unlocking the Future of AI Agents with Large Language Models

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Presentation.STUDIO

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AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques

AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques

AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques

VictorSzoltysek

Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

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Unlocking the Future of AI Agents with Large Language Models

Unlocking the Future of AI Agents with Large Language Models

Unlocking the Future of AI Agents with Large Language Models

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AI & Machine Learning Presentation Template

AI & Machine Learning Presentation Template

AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques

AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques

AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Introduction of EC-CUBE 4.0

1. Introduction of EC-CUBE 4.0 PHPConf.Asia 2018

2. What is “EC-CUBE”?

4.

5. ● PHP 7.1~ ● Symfony 3 ● Twig Template ● MySQL / PostgreSQL / SQLite ● Apache / Nginx / IIS

6. ● 2006: First Version by LOCKON Co., Ltd. ● 2007: Version 2 ○ PEAR, MVC, Original framework ● 2015: Version 3 ○ Silex ● 2018: Version 4 ○ Symfony 3

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11.

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15. Why “Made in Japan” is so important for Japanese people

16. First name Last nameName: StateState: Street nameStreet: Unit No. Building nameUnit: CityCity: F j, YBirthday: Last name First name名前: State都道府県: Street name町名: Unit No. Building name建物名: City市町村区: Y年m月d日誕生日: Price: $5.40 価格: 540円

17.

18.

19.

21. Thanks https://github.com/EC-CUBE/ec-cube ＃eccube