Angular JS 2.0 & React with Kendo UI

Jun 24, 2016Download as pptx, pdf

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The document discusses Angular 2.0, React, and Kendo UI. It provides an overview of these frameworks and libraries and demonstrates how Kendo UI can be used with Angular 2.0 and React. Specifically, it discusses integrating Kendo UI components like buttons, sliders, and dropdowns into applications built with Angular 2.0 and React.

Angular JS 2.0 & React
with Kendo UI
Jun 23 2016

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.2
About Me
 Lohith G N
 Technical Evangelist
 Microsoft MVP (VS.NET)
 @kashyapa
 www.kashyapas.com
 www.telerikhelper.net
 www.telerik.com
 www.progress.com

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.3
Agenda
What is Angular 2.0 ?
What is React ?
What is Kendo UI ?
Kendo UI + Angular 2
Kendo UI + React

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.4
Angular JS 2.0

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.5

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.7
REACT JS

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.8

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.10
Kendo UI

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.11

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.12

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.13
Kendo UI + Angular 2

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.14
+
Kendo UI + Angular 2

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.15
Kendo UI + React JS

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.16
+
Kendo UI + React JS
React

© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.17
Kendo UI React Components
 Kendo UI for React – Preview
 jQuery-free React components
 Utilize the React Virtual DOM, Unidirectional Data Flow
 Preview Includes
• Button
• ButtonGroup
• Slider
• Draggable
• DropDown
• AutoComplete
• Dialog
• TabStrip
• Panelbar

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Have-a-skate-with-Bob (HASB-KC) is a local charity that holds two Hockey Tournaments every year to raise money in the fight against Pancreatic Cancer. The FME Form software is used to integrate and exchange data via API, between Google Forms, Google Sheets, Stripe payments, SmartWaiver, and the GoDaddy email marketing tools to build a grass-roots Customer Relationship Management (CRM) system for the charity. The CRM is used to communicate effectively and readily with the participants of the hockey events and most importantly the local area sponsors of the event. Communication consists of a BLOG used to inform participants of event details including, the ever-important team rosters. Funds raised by these events are used to support families in the local area to fight cancer and support PanCan research efforts to find a cure against this insidious disease. FME Form removes the tedium and error-prone manual ETL processes against these systems into 1 or 2 workbenches that put the data needed at the fingertips of the event organizers daily freeing them to work on outreach and marketing of the events in the community.

Crypto Super 500 - 14th Report - June2025.pdfStephen Perrenod

This OrionX's 14th semi-annual report on the state of the cryptocurrency mining market. The report focuses on Proof-of-Work cryptocurrencies since those use substantial supercomputer power to mint new coins and encode transactions on their blockchains. Only two make the cut this time, Bitcoin with $18 billion of annual economic value produced and Dogecoin with $1 billion. Bitcoin has now reached the Zettascale with typical hash rates of 0.9 Zettahashes per second. Bitcoin is powered by the world's largest decentralized supercomputer in a continuous winner take all lottery incentive network.

“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/ Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment. In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.

FIDO Alliance Seminar State of Passkeys.pptxFIDO Alliance

Oracle Cloud Infrastructure AI FoundationsVICTOR MAESTRE RAMIREZ

vertical-cnc-processing-centers-drillteq-v-200-en.pdfAmirStern2

Reducing Conflicts and Increasing Safety Along the Cycling Networks of East-F...Safe Software

In partnership with the Belgian Province of East-Flanders this project aimed to reduce conflicts and increase safety along a cycling route between the cities of Oudenaarde and Ghent. To achieve this goal, the current cycling network data needed some extra key information, including: Speed limits for segments, Access restrictions for different users (pedestrians, cyclists, motor vehicles, etc.), Priority rules at intersections. Using a 360° camera and GPS mounted on a measuring bicycle, we collected images of traffic signs and ground markings along the cycling lanes building up mobile mapping data. Image recognition technologies identified the road signs, creating a dataset with their locations and codes. The data processing entailed three FME workspaces. These included identifying valid intersections with other networks (e.g., roads, railways), creating a topological network between segments and intersections and linking road signs to segments and intersections based on proximity and orientation. Additional features, such as speed zones, inheritance of speed and access to neighbouring segments were also implemented to further enhance the data. The final results were visualized in ArcGIS, enabling analysis for the end users. The project provided them with key insights, including statistics on accessible road segments, speed limits, and intersection priorities. These will make the cycling paths more safe and uniform, by reducing conflicts between users.

Floods in Valencia: Two FME-Powered Stories of Data ResilienceSafe Software

In October 2024, the Spanish region of Valencia faced severe flooding that underscored the critical need for accessible and actionable data. This presentation will explore two innovative use cases where FME facilitated data integration and availability during the crisis. The first case demonstrates how FME was used to process and convert satellite imagery and other geospatial data into formats tailored for rapid analysis by emergency teams. The second case delves into making human mobility data—collected from mobile phone signals—accessible as source-destination matrices, offering key insights into population movements during and after the flooding. These stories highlight how FME's powerful capabilities can bridge the gap between raw data and decision-making, fostering resilience and preparedness in the face of natural disasters. Attendees will gain practical insights into how FME can support crisis management and urban planning in a changing climate.

High Availability On-Premises FME Flow.pdfSafe Software

FME Flow is a highly robust tool for transforming data both automatically and by user-initiated workflows. At the Finnish telecommunications company Elisa, FME Flow serves processes and internal stakeholders that require 24/7 availability from underlying systems, while imposing limitations on the use of cloud based systems. In response to these business requirements, Elisa has implemented a high-availability on-premises setup of FME Flow, where all components of the system have been duplicated or clustered. The goal of the presentation is to provide insights into the architecture behind the high-availability functionality. The presentation will show in basic technical terms how the different parts of the system work together. Basic level understanding of IT technologies is required to understand the technical portion of the presentation, namely understanding the purpose of the following components: load balancer, FME Flow host nodes, FME Flow worker nodes, network file storage drives, databases, and external authentication services. The presentation will also outline our lessons learned from the high-availability project, both benefits and challenges to consider.

Mastering AI Workflows with FME - Peak of Data & AI 2025Safe 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

Data Validation and System InteroperabilitySafe Software