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What you'll learn
Matering Node Red for software development, test automation and process/worflow automation via this powerful tool.
Learning Flow Based Programming concepts, methods and practises to boost the effectiveness and efficiency.
Extending the skills and thinking model by integrating Node Red and hot topics like web service, RPA etc.
Build up the mindset of developing software with a mixture of differences paradigm of FBP, Vonn Neumann, Responsiveness and more.
Requirements
Must have: Basic Javascript/Nodejs knowledge, Web browser operation, Bash(Linux) or CMD/Powershell(Windows) operation
Nice to have: TCP/IP based network knowledge, PUB-SUB programming model, Web service concepts
Description
This course is for Node Red but with different insights than usual view angles. It's not just to teach people how to use Node Red in normal use cases but to use it as a general purpose software development platform underpinned by FBP(Flow Based Programming) paradigm. As being mentioned in the openning introduction video clip the course tends to give people "finishing capability" and not "a fish". To maximize the benefit of this course the learners better have the knowledge of Linux, Web Service, HTTP, Database, Python and sense of integrating whatever useful technology together for a bigger view. This is particularly shown in the 3 chapters of building a full stack SPA(single page application).The content of the course is step by step, gradually from basic stuff to advanced topics. First we will have a quick glance on how node red builds work flow to implememnt the classical hello world program. Then starting from the most basic things like the installation for various platforms, to flow editor usage, and to node catergory and their functionalities, then to advanced topics like running python code in node red or build your own nodes, and finally to the procedure of building a full stack single page application by combining all pieces together. Experience either in software development or test automation is a significant plus for learning well. Keeping mind open is a key to success as the whole course is not to teach each piece in super details but emphasize the thinking and methds to resolve issues in from of you.
Overview
Section 1: Introduction
Lecture 1 Instructor introduction
Lecture 2 Purpose of this course
Section 2: Quick start
Lecture 3 Overview of Node-RED and its use cases
Lecture 4 Get your feet wet - "Hello world" on Node-RED
Lecture 5 Understanding the Node-RED user interface
Lecture 6 Summary
Section 3: Node-Red setup and learning environment constrction
Lecture 7 Set up Node Red on Linux
Lecture 8 Set up Node Red on Windows
Lecture 9 Set up Node Red on Raspberry Pi
Lecture 10 Set up Node Red via docker
Lecture 11 Summary
Section 4: Flow-based programming with Node-RED
Lecture 12 The concept of FBP(Flow Based Programming)
Lecture 13 Creating a work flow more complex than "hello world"
Lecture 14 Input and output of a node
Lecture 15 Debugging a flow
Lecture 16 Managing and deploying flows
Lecture 17 Summary
Section 5: Deep dive nodes in Node-RED
Lecture 18 Common nodes in categories
Lecture 19 Using function node
Lecture 20 Using network related nodes
Lecture 21 Using storage nodes for file I/O
Lecture 22 Nodes from community
Lecture 23 Summary
Section 6: Advanced Node-RED topics
Lecture 24 Multiple output of a node
Lecture 25 Create your own node
Lecture 26 Sub flow & flows inter link
Lecture 27 Running python code
Lecture 28 Node Red customization & security consideration
Lecture 29 Summary
Section 7: Real project going through: instant Linux core watcher - Functionality
Lecture 30 Goals analysis
Lecture 31 Back end components set up
Lecture 32 Node Red flow build up
Section 8: Real project going through: instant Linux core watcher - Web Service Exposure
Lecture 33 Endpoints design
Lecture 34 Service handlers implementation
Section 9: Real project going through: instant Linux core watcher - GUI
Lecture 35 Node Red dashboard as a SPA
Lecture 36 Showing latest core dump data
Lecture 37 Statistical data by charts
Lecture 38 List all historical data in table
Section 10: Conclusion
Lecture 39 Summary of the course
Anyone who does not have hard background on programming but need to develop software in a low/no code manner.,Architects who want to land their design and thoughts onto a fast living prototype.,Software developers/testers who are seeking new methods to boost the development effiency and low cost maintenance.,Experts who need tools to offload them on handling complex system integration scenarios.

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rapidgator.net:

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