This is my presentation for the Association of Geomatic Engineering Students(AGES)-JKUAT weekly meet up presentation. I covered introductory topics in Web Development, Django framework, Python programming, Geoserver demo. Done on 10th July 2015
This document discusses using the OpenShift Platform as a Service (PaaS) for geospatial applications. It provides an overview of OpenShift and demonstrates how to deploy PostGIS and MongoDB for geospatial data storage and GeoServer for serving maps on OpenShift. The presentation assumes basic command line and geospatial knowledge and shows how OpenShift allows developers to write code and apps without managing servers.
1. The document provides instructions for setting up applications on OpenShift including creating domains, applications, adding cartridges for databases like Postgresql and MongoDB, and loading spatial data.
2. Steps are outlined for setting up a Java application called GeoServer with Postgresql and spatial data, and a Python application called Parks using MongoDB to store spatial JSON data.
3. Finally it describes deploying a modified GeoServer WAR file on OpenShift to serve spatial layers from the Postgresql data.
The document introduces MongoDB's spatial functionality for geospatial queries and provides an overview of loading spatial data and creating a 2d index in MongoDB, demonstrating basic nearby and containment queries and showing example code for building applications using spatial data with MongoDB deployed on OpenShift's free Platform as a Service cloud offering.
OpenShift with Eclipse Tooling - EclipseCon 2012Steven Pousty
?
This document provides an overview of the Eclipse tooling for OpenShift. It begins with an agenda and assumptions. It then defines Infrastructure as a Service, Platform as a Service, and Software as a Service. It highlights benefits of using a PaaS like OpenShift. Supported technologies are listed, including Java, JBoss Tools, Maven, and Jenkins. Steps are provided to get started, including signing up, installing plugins, creating a domain and applications. Demo steps are outlined. Command line tools are discussed. Creating an application in Eclipse is demonstrated.
This document provides an overview of building geospatial applications with Zend, MongoDB, and OpenShift. It includes an agenda that covers loading spatial data into MongoDB, performing queries, and showing PHP code to access spatial data. The document also discusses assumptions, what OpenShift is, supported technologies, and concludes by stating spatial is easy and fun with MongoDB and PHP, and applications can now be built and deployed quickly on OpenShift without infrastructure management.
This document provides an agenda and overview for an OpenShift workshop on Python development. The workshop will introduce OpenShift and demonstrate how to create Python applications using the OpenShift platform-as-a-service. Attendees will learn to create applications from the command line and web console, add databases like MongoDB, and use tools like Git for version control. The document outlines assumptions about attendees' experience and what will be covered, including supported technologies, available resources, and terminology for the workshop.
The document summarizes the efforts of three individuals to break the RPiDocker challenge of running the most Docker containers on a Raspberry Pi 2. They took a methodical approach, measuring performance and automating setup. Key steps included systemd and Docker tuning, using a highly optimized web server, and addressing the RPi2's network namespace limit. Collaboration and sharing ideas helped optimize the process and ultimately run 2499 containers, hitting a Go runtime thread limit. Working around the limit confirmed the ability to run nearly 2740 containers before hitting memory limits.
This document discusses building a location-aware job search application using MongoDB, OpenShift, and Java. Key points include: using MongoDB for its geospatial indexing and rich document storage; deploying the application to OpenShift for its support of MongoDB and multiple languages, free scalable infrastructure, and ease of use; and utilizing Git for version control of code deployed to OpenShift. Steps provided include setting up accounts, installing tools, creating an OpenShift application, importing sample data to MongoDB, running queries, and deploying code.
Run C++ as serverless with GCP Cloud FunctionsRuncy Oommen
?
Runcy Oommen discusses using Google Cloud Functions with C++. Cloud Functions allows code to be written in Node.js or Python and executed in corresponding runtimes. It can access GCP services and be triggered by events from HTTP, Cloud Storage, Cloud Pub/Sub, and Firebase. The document walks through building a C++ addon for Cloud Functions using V8, binding.gyp, and Node.js to invoke the native code. It describes uploading the files, testing the function, and depicting the overall flow.
Logstash is a tool for managing logs that allows users to collect logs from various sources, parse them, and output the data to multiple destinations. It provides inputs to collect logs from different systems, filters to parse and transform the log data, and outputs to send the data to places like Elasticsearch, Graphite, or other applications. The document provides examples of using Logstash to collect Apache logs, parse them using Grok filters, and output the results to Elasticsearch for searching and Graphite via StatsD for metrics.
Alberto Zuin presents on moyd.co's geo-distributed infrastructure using OpenNebula. Moyd.co operates DNS servers across 4 datacenters in Europe and the US with anycast BGP routing. Each datacenter runs independent DNS and API servers with a shared MongoDB database. OpenNebula is used to federate the distributed infrastructure and configure DNS VMs through contextualization. Example use cases include distributing a news site, email servers, and log storage across multiple datacenters.
FaaS you like it (if Shakespeare had written Functions-as-a-Service)Ewan Slater
?
My slides from the London Cloud Native Meetup on 7th August 2018.
Covering serverless, FaaS (Functions-as-a-Service) and the Fn project (with a bit of help from William Shakespeare).
Caching in Docker - the hardest thing in computer scienceJarek Potiuk
?
The document discusses challenges with caching dependencies and sources when building Docker images across different environments.
It finds that builds are faster when caching locally but slower when caching dependencies across CI/CD pipelines due to differences in file permissions and generated files. Specifically:
1) File permissions differ between local builds and CI/CD due to user and group settings
2) Generated files like documentation and cache files cause issues because they are not ignored
3) Reinstalling all dependencies from scratch on each build is slow.
It provides solutions like fixing group permissions, setting dockerignore, pre-building wheels, and multi-stage builds to better leverage caching across environments.
This document discusses Kafka and message buses. It describes synchronous vs asynchronous communication and how a message bus can be used for event aggregation, CQRS, microservices, and event sourcing. It then provides details on Apache Kafka, including its creation by LinkedIn, use by major companies, and basic workflow. Key components of the Kafka stack like Zookeeper, brokers, producers, consumers and topics are explained. The document ends with an example of launching a local Kafka cluster and producing and consuming messages.
This document provides instructions for installing Redis and configuring a Redis cluster in Linux. It explains how to download and compile Redis, create configuration files for 6 nodes using different ports and filenames, start each Redis server using its configuration file, and use the redis-cli command to create a cluster with 1 replica across the 6 nodes. Once created, information about node 1 can be viewed by connecting to it on port 7001 with redis-cli.
This document provides an overview of high performance computing (HPC) storage solutions. It discusses basic storage concepts like RAM, disks, filesystems, and local versus centralized storage. It then introduces shared/parallel filesystems which allow data to be accessed uniformly across a clustered storage network. Key features of parallel filesystems discussed include data distribution, locking mechanisms, online management tools, and integration with HPC workload managers.
This document discusses using Ansible to automate configuration of Raspberry Pi devices. It recommends Ansible because it allows defining playbooks that can configure different devices like Raspberry Pis and cloud servers in the same way, without requiring agents. It provides an example playbook that configures iptables firewall rules on a device. The document also discusses using a Raspberry Pi as a mock server for testing apps, and deploying apps to a Raspberry Pi from source control using tools like Git hooks or Capistrano.
Let's talk about the Ubuntu 18.04 LTS Roadmap!Dustin Kirkland
?
Dustin Kirkland discusses the results of the Ubuntu 18.04 LTS default desktop application survey results, as well as the Ubuntu Server and Ubuntu Devices roadmaps
Rick is a junior DevOps engineer tasked with building a scalable web application. He has been struggling with using just Docker due to difficulties with networking and managing multiple Docker hosts. The document introduces CoreOS as a solution, which uses Docker, etcd, fleet, and flannel to deploy and manage containers across a cluster of machines. Using the CoreOS platform, Rick's application can be automatically distributed across the cluster and discover services through etcd.
grifork - fast propagative task runner -IKEDA Kiyoshi
?
Grifork runs defined tasks on the system in a way like tree's branching.
Give grifork a list of hosts, then it creates a tree graph internally, and runs tasks in a top-down way.
This document discusses implementing a ROS package in Docker. It provides an explanation of Docker, compares virtual machines to Docker, describes Docker's internal structure and applications in software development. It then gives the Docker workflow and an overview of ROS. The document concludes by providing the Dockerfile and instructions for building, pushing to a registry, and running a Docker image containing a ROS package.
This document discusses using Docker and HAProxy to set up a load balanced web server infrastructure. It demonstrates configuring two Apache web servers behind a HAProxy load balancer on a single CentOS host. The Apache containers are placed on a Docker network and configured for round-robin load balancing through the HAProxy container's ports 80 and 8001/8002 redirecting to the Apache containers.
What's Coming in Bndtools 3.0 and Beyondnjbartlett
?
The document summarizes upcoming changes and new features in version 3.0 and beyond of the Bndtools plugin. Key updates include better build fidelity and scalability, support for OSGi Release 6 annotations, capabilities for specifying repo-specific and wildcard dependencies, and new standalone operations without a Bndtools workspace. Future plans also mention additional Maven integration and potential support for Java Platform Module System.
Bndtools Update - Whats Coming in v3.0.0 and Beyond - Neil Bartlettmfrancis
?
OSGi Community Event 2015
Bndtools, based on bnd and provided as an Eclipse plugin, is the easy, powerful and productive way to develop with OSGi.</p>
It's great that over the last 12 months the community has grown significantly, and importantly still continues to grow. It's great to see the increased adoption and all of the questions on the mail list.
Join us for this talk to get a detailed overview of what's coming in version 3.0.0 along with an insight to our medium and long-term future plans, including enhancing the bnd Maven Plugin.
Version 3.0.0 will include support for:
* Better offline build fidelity
* Faster builds"
* More visible warnings, error markers and quick fixes
* Integration with OSGi compendium R6 specs such as Declarative Services (DS) 1.3 and metatype 1.3.
Enter the world of cloud computing and software development with PaaS. What it takes to create a production ready application with Heroku and how to run it?
Collaborative environment with data science notebook Moon Soo Lee
?
This document discusses how to build an efficient data science toolchain around notebook technologies. It describes how notebooks can be used for interactive analytics and collaboration. It recommends sharing notebooks and data to maximize their potential. Methods for sharing include GitHub, nbviewer, Apache Zeppelin, and commercial services. It also discusses enabling multi-user environments through JupyterHub and Zeppelin and building data catalogs for managing and sharing datasets.
The document summarizes the efforts of three individuals to break the RPiDocker challenge of running the most Docker containers on a Raspberry Pi 2. They took a methodical approach, measuring performance and automating setup. Key steps included systemd and Docker tuning, using a highly optimized web server, and addressing the RPi2's network namespace limit. Collaboration and sharing ideas helped optimize the process and ultimately run 2499 containers, hitting a Go runtime thread limit. Working around the limit confirmed the ability to run nearly 2740 containers before hitting memory limits.
This document discusses building a location-aware job search application using MongoDB, OpenShift, and Java. Key points include: using MongoDB for its geospatial indexing and rich document storage; deploying the application to OpenShift for its support of MongoDB and multiple languages, free scalable infrastructure, and ease of use; and utilizing Git for version control of code deployed to OpenShift. Steps provided include setting up accounts, installing tools, creating an OpenShift application, importing sample data to MongoDB, running queries, and deploying code.
Run C++ as serverless with GCP Cloud FunctionsRuncy Oommen
?
Runcy Oommen discusses using Google Cloud Functions with C++. Cloud Functions allows code to be written in Node.js or Python and executed in corresponding runtimes. It can access GCP services and be triggered by events from HTTP, Cloud Storage, Cloud Pub/Sub, and Firebase. The document walks through building a C++ addon for Cloud Functions using V8, binding.gyp, and Node.js to invoke the native code. It describes uploading the files, testing the function, and depicting the overall flow.
Logstash is a tool for managing logs that allows users to collect logs from various sources, parse them, and output the data to multiple destinations. It provides inputs to collect logs from different systems, filters to parse and transform the log data, and outputs to send the data to places like Elasticsearch, Graphite, or other applications. The document provides examples of using Logstash to collect Apache logs, parse them using Grok filters, and output the results to Elasticsearch for searching and Graphite via StatsD for metrics.
Alberto Zuin presents on moyd.co's geo-distributed infrastructure using OpenNebula. Moyd.co operates DNS servers across 4 datacenters in Europe and the US with anycast BGP routing. Each datacenter runs independent DNS and API servers with a shared MongoDB database. OpenNebula is used to federate the distributed infrastructure and configure DNS VMs through contextualization. Example use cases include distributing a news site, email servers, and log storage across multiple datacenters.
FaaS you like it (if Shakespeare had written Functions-as-a-Service)Ewan Slater
?
My slides from the London Cloud Native Meetup on 7th August 2018.
Covering serverless, FaaS (Functions-as-a-Service) and the Fn project (with a bit of help from William Shakespeare).
Caching in Docker - the hardest thing in computer scienceJarek Potiuk
?
The document discusses challenges with caching dependencies and sources when building Docker images across different environments.
It finds that builds are faster when caching locally but slower when caching dependencies across CI/CD pipelines due to differences in file permissions and generated files. Specifically:
1) File permissions differ between local builds and CI/CD due to user and group settings
2) Generated files like documentation and cache files cause issues because they are not ignored
3) Reinstalling all dependencies from scratch on each build is slow.
It provides solutions like fixing group permissions, setting dockerignore, pre-building wheels, and multi-stage builds to better leverage caching across environments.
This document discusses Kafka and message buses. It describes synchronous vs asynchronous communication and how a message bus can be used for event aggregation, CQRS, microservices, and event sourcing. It then provides details on Apache Kafka, including its creation by LinkedIn, use by major companies, and basic workflow. Key components of the Kafka stack like Zookeeper, brokers, producers, consumers and topics are explained. The document ends with an example of launching a local Kafka cluster and producing and consuming messages.
This document provides instructions for installing Redis and configuring a Redis cluster in Linux. It explains how to download and compile Redis, create configuration files for 6 nodes using different ports and filenames, start each Redis server using its configuration file, and use the redis-cli command to create a cluster with 1 replica across the 6 nodes. Once created, information about node 1 can be viewed by connecting to it on port 7001 with redis-cli.
This document provides an overview of high performance computing (HPC) storage solutions. It discusses basic storage concepts like RAM, disks, filesystems, and local versus centralized storage. It then introduces shared/parallel filesystems which allow data to be accessed uniformly across a clustered storage network. Key features of parallel filesystems discussed include data distribution, locking mechanisms, online management tools, and integration with HPC workload managers.
This document discusses using Ansible to automate configuration of Raspberry Pi devices. It recommends Ansible because it allows defining playbooks that can configure different devices like Raspberry Pis and cloud servers in the same way, without requiring agents. It provides an example playbook that configures iptables firewall rules on a device. The document also discusses using a Raspberry Pi as a mock server for testing apps, and deploying apps to a Raspberry Pi from source control using tools like Git hooks or Capistrano.
Let's talk about the Ubuntu 18.04 LTS Roadmap!Dustin Kirkland
?
Dustin Kirkland discusses the results of the Ubuntu 18.04 LTS default desktop application survey results, as well as the Ubuntu Server and Ubuntu Devices roadmaps
Rick is a junior DevOps engineer tasked with building a scalable web application. He has been struggling with using just Docker due to difficulties with networking and managing multiple Docker hosts. The document introduces CoreOS as a solution, which uses Docker, etcd, fleet, and flannel to deploy and manage containers across a cluster of machines. Using the CoreOS platform, Rick's application can be automatically distributed across the cluster and discover services through etcd.
grifork - fast propagative task runner -IKEDA Kiyoshi
?
Grifork runs defined tasks on the system in a way like tree's branching.
Give grifork a list of hosts, then it creates a tree graph internally, and runs tasks in a top-down way.
This document discusses implementing a ROS package in Docker. It provides an explanation of Docker, compares virtual machines to Docker, describes Docker's internal structure and applications in software development. It then gives the Docker workflow and an overview of ROS. The document concludes by providing the Dockerfile and instructions for building, pushing to a registry, and running a Docker image containing a ROS package.
This document discusses using Docker and HAProxy to set up a load balanced web server infrastructure. It demonstrates configuring two Apache web servers behind a HAProxy load balancer on a single CentOS host. The Apache containers are placed on a Docker network and configured for round-robin load balancing through the HAProxy container's ports 80 and 8001/8002 redirecting to the Apache containers.
What's Coming in Bndtools 3.0 and Beyondnjbartlett
?
The document summarizes upcoming changes and new features in version 3.0 and beyond of the Bndtools plugin. Key updates include better build fidelity and scalability, support for OSGi Release 6 annotations, capabilities for specifying repo-specific and wildcard dependencies, and new standalone operations without a Bndtools workspace. Future plans also mention additional Maven integration and potential support for Java Platform Module System.
Bndtools Update - Whats Coming in v3.0.0 and Beyond - Neil Bartlettmfrancis
?
OSGi Community Event 2015
Bndtools, based on bnd and provided as an Eclipse plugin, is the easy, powerful and productive way to develop with OSGi.</p>
It's great that over the last 12 months the community has grown significantly, and importantly still continues to grow. It's great to see the increased adoption and all of the questions on the mail list.
Join us for this talk to get a detailed overview of what's coming in version 3.0.0 along with an insight to our medium and long-term future plans, including enhancing the bnd Maven Plugin.
Version 3.0.0 will include support for:
* Better offline build fidelity
* Faster builds"
* More visible warnings, error markers and quick fixes
* Integration with OSGi compendium R6 specs such as Declarative Services (DS) 1.3 and metatype 1.3.
Enter the world of cloud computing and software development with PaaS. What it takes to create a production ready application with Heroku and how to run it?
Collaborative environment with data science notebook Moon Soo Lee
?
This document discusses how to build an efficient data science toolchain around notebook technologies. It describes how notebooks can be used for interactive analytics and collaboration. It recommends sharing notebooks and data to maximize their potential. Methods for sharing include GitHub, nbviewer, Apache Zeppelin, and commercial services. It also discusses enabling multi-user environments through JupyterHub and Zeppelin and building data catalogs for managing and sharing datasets.
Everybody in our team knows how to create stable and scalable software products. But in this case, we are using Docker... and it really helps us to concentrate on development and spend more time on code review & tests instead of troubleshooting issues with servers.
An overview of data and web-application development with PythonSivaranjan Goswami
?
This document provides an overview of Python for data and web application development. It discusses that Python is a widely used general purpose programming language. It then covers common Python applications like web development, data science, and machine learning. It also discusses key Python libraries like Pandas and Numpy for data analysis. Important Python web frameworks like Django are explained. Finally, it briefly discusses data engineering and tools used for tasks like ETL, data warehousing, and analytics.
DocDoku: Using web technologies in a desktop application. OW2con'15, November...OW2
?
The DocdokuPLM is an open-source platform allowing its users to manage their product's lifecycle, from design to maintenance. The main application is built upon RequireJS and BackboneJS librairies for the front-end, and JEE for back-end. The GUI is quite complete, and may won't fit for all users involved in the process. This is especially the case for CAD designers who just need to commit their changes without having such a rich graphic interface. To answer this need, we developped a desktop application, interfacing our server with the CAD designer's file system : the DPLM.
First, we developped a command line interface, which is very lightweight and really great for advanced users. However providing a GUI which could interface with the CLI and allow the user to manage multiple files upload at once was more than needed.
Providing a consistent user experience across different platforms has been one of our challenges in the context of our application. The choice of a web framework was then a natural choice. But how could we get it run within a desktop application ? Node-Webkit brought us the ability to interact directly with the user's file system and embed the app in a webview, letting us the choice to use any web framework we wanted to use.
Instant developer onboarding with self contained repositoriesYshay Yaacobi
?
際際滷 from my talk on "Instant developer onboarding with self-contained repositories".
https://sched.co/l9yG
Code examples on:
https://github.com/Yshayy/self-contained-repositories
Conference Recordings will be added once it will be public
Designing flexible apps deployable to App Engine, Cloud Functions, or Cloud Runwesley chun
?
Many people ask, "Which one is better for me: App Engine, Cloud Functions, or Cloud Run?" To help you learn more about them, understand their differences, appropriate use cases, etc., why not deploy the same app to all 3? With this "test drive," you only need to make minor config changes between platforms. You'll also learn one of Google Cloud's AI/ML "building block" APIs as a bonus as the sample app is a simple "mini" Google Translate "MVP". This is a 45- 60-minute talk that reviews the Google Cloud serverless compute platforms then walks through the same app and its deployments. The code is maintained at https://github.com/googlecodelabs/cloud-nebulous-serverless-python
Update on the open source browser space (16th GENIVI AMM)Igalia
?
By Jacobo Aragunde P└rez
This session will provide the latest news on the ever-changing world of Open Source browsers. We will show what's currently happening with the integration of Chromium with Wayland and the latest WebKit ports, with special attention to WPE (WebKitForWayland), the newest port.
(c) 16th GENIVI AMM
2017
https://at.projects.genivi.org/wiki/display/WIK4/16th+GENIVI+AMM
RedisConf17 - Dynomite - Making Non-distributed Databases DistributedRedis Labs
?
Dynomite is a framework that makes non-distributed databases distributed by adding a proxy layer, auto-sharding, replication across datacenters, and more. It is used at Netflix to power various services by sitting on top of Redis and providing high availability, scalability, and tunable consistency. Conductor is a workflow orchestration engine used by Netflix that stores workflow definitions and state in Dynomite to allow reusable and controllable workflow processes.
1) CEPH is an open source distributed storage system that can provide scalable and high availability storage for Openstack's Glance, Cinder, and Swift components.
2) CEPH integrates well with Openstack through authentication via keyrings and access to CEPH's RADOS block device (RBD) and object storage (RGW) from Glance, Cinder, and Swift.
3) Using CEPH as the unified backend storage for Openstack addresses Openstack's needs for scalability, high availability, and avoiding vendor lock-in.
- Dynomite is a framework that makes non-distributed databases distributed by adding a proxy layer, auto-sharding, replication across datacenters, and more.
- Netflix uses Dynomite to provide high availability and scalability for several internal microservices and tools like Conductor, an orchestration engine that uses Redis.
- Conductor allows defining workflows as code and executing them in a distributed and scalable way using Dynomite and Dyno Queues.
Geospatial web services using little-known GDAL features and modern Perl midd...Ari Jolma
?
This document summarizes a talk about using GDAL features and modern Perl middleware to build geospatial web services. It discusses using the GDAL virtual file system to read from and write to non-file sources, redirecting GDAL's virtual stdout to output to a Perl object, and using the PSGI specification to build middleware applications with Plack and services with the Geo::OGC framework. Code examples are provided for a WFS service using PostgreSQL and on-the-fly WMTS tile processing.
Webinar topic: Dynamic Website with Python
Presenter: Achmad Mardiansyah
In this webinar series, We are discussing Dynamic Website with Python
Please share your feedback or webinar ideas here: http://bit.ly/glcfeedback
Check our schedule for future events: https://www.glcnetworks.com/schedule/
Follow our social media for updates: Facebook, Instagram, YouTube Channel, and telegram
See you at the next event
Recording available on Youtube
https://youtu.be/b71WjMB7isc
Design Summit - Technology Vision - Oleg Barenboim and Jason FreyManageIQ
?
Oleg and Jason share the vision for the ManageIQ technology, integration with partners, and an overview of the roadmap.
See accompanying video: http://youtu.be/lokMmVCavas
For more on ManageIQ, see http://manageiq.org/
The document provides an introduction to programming for non-technical entrepreneurs, including a definition of programming languages, a brief history of programming, common programming roles and processes, popular programming languages and tools, basic programming concepts, and considerations for creating websites and mobile apps. It aims to give non-technical founders an overview of the programming landscape to help them communicate effectively with technical teams.
Matthew Mosesohn - Configuration Management at Large Companies Yandex
?
Right from the PuppetConf, which gathered a lot of engineers at San Francisco, Matt will pass the experience of configuration management at big companies. Of course, with his own opinion and criticism, which you are welcome to discuss.
Eduardo Silva is an open source engineer at Treasure Data working on projects like Fluentd and Fluent Bit. He created the Monkey HTTP server, which is optimized for embedded Linux and has a modular plugin architecture. He also created Duda I/O, a scalable web services stack built on top of Monkey using a friendly C API. Both projects aim to provide lightweight, high performance solutions for collecting and processing data from IoT and embedded devices.
Open Chemistry, JupyterLab and data: Reproducible quantum chemistryMarcus Hanwell
?
The Open Chemistry project is developing an ambitious platform to facilitate reproducible quantum chemistry workflows by integrating the best of breed open source projects currently available in a cohesive platform with extensions specific to the needs of quantum chemistry. The core of the project is a Python-based data server capable of storing metadata, executing quantum chemistry calculations, and processing the output. The platform exposes RESTful endpoints using programming language agnostic web endpoints, and uses Linux container technology to package quantum codes that are often difficult to build.
The Jupyter project has been leveraged as a web-based frontend offering reproducibility as a core principle. This has been coupled with the data server to initiate quantum chemistry calculations, cache results, make them searchable, and even visualize the results within a modern browser environment. The Avogadro libraries have been reused for visualization workflows, coupled with Open Babel for file translation, and examples of the use of NWChem and Psi4 will be demonstrated.
The core of the platform is developed upon JSON data standards, and encouraging the wider adoption of JSON/HDF5 as the principle storage mediums. A single page web application using React at its core will be shown for sharing simple views of data output, and linking to the Jupyter notebooks that documents how they were made. Command line tools and links to the Avogadro graphical interface will be shown demonstrating capabilities from web through to desktop.
In this PDF document, the importance of engineering models in successful project execution is discussed. It explains how these models enhance visualization, planning, and communication. Engineering models help identify potential issues early, reducing risks and costs. Ultimately, they improve collaboration and client satisfaction by providing a clear representation of the project.
Welcome to the April 2025 edition of WIPAC Monthly, the magazine brought to you by the LInkedIn Group Water Industry Process Automation & Control.
In this month's issue, along with all of the industries news we have a number of great articles for your edification
The first article is my annual piece looking behind the storm overflow numbers that are published each year to go into a bit more depth and look at what the numbers are actually saying.
The second article is a taster of what people will be seeing at the SWAN Annual Conference next month in Berlin and looks at the use of fibre-optic cable for leak detection and how its a technology we should be using more of
The third article, by Rob Stevens, looks at what the options are for the Continuous Water Quality Monitoring that the English Water Companies will be installing over the next year and the need to ensure that we install the right technology from the start.
Hope you enjoy the current edition,
Oliver
Virtual Power plants-Cleantech-RevolutionAshoka Saket
?
VPPs are virtual aggregations of distributed energy resources, such as energy storage, solar panels, and wind turbines, that can be controlled and optimized in real-time to provide grid services.
Knowledge-Based Agents in AI: Principles, Components, and FunctionalityRashmi Bhat
?
This PowerPoint presentation provides an in-depth exploration of Knowledge-Based Agents (KBAs) in Artificial Intelligence (AI). It explains how these agents make decisions using stored knowledge and logical reasoning rather than direct sensor input. The presentation covers key components such as the Knowledge Base (KB), Inference Engine, Perception, and Action Execution.
Key topics include:
? Definition and Working Mechanism of Knowledge-Based Agents
? The Process of TELL, ASK, and Execution in AI Agents
? Representation of Knowledge and Decision-Making Approaches
? Logical Inference and Rule-Based Reasoning
? Applications of Knowledge-Based Agents in Real-World AI
This PPT is useful for students, educators, and AI enthusiasts who want to understand how intelligent agents operate using stored knowledge and logic-based inference. The slides are well-structured with explanations, examples, and an easy-to-follow breakdown of AI agent functions.
4. @NGENO-2015
Importance of Python
¢ Why learn python?
C Simple syntax and language. Allows one to actually
dwell more on the functionality of the code rather
than the syntax rules of the code.
C Python is high level language C goes through
interpreter then compiler to get solution.
¢ Automatic of tasks
C Change of projection
¢ pyproj
C Select Data
C Downloading content
¢ Download landsat satellite images
8. @NGENO-2015
TOOLS
¢ Server (host)
C W.L.XAMP, OpenGEOSuite, GeoServer, Bitnami,
¢ FTP software- FileZilla
¢ Web dev framework
C Code igniter
C Django
¢ Adobe Dreamweaver
¢ Balsamiq Mockups
9. @NGENO-2015
PROGRAMMING LANGUAGES
¢ .html - Hyper Text Markup Language
¢ .js C Javascript
¢ .php C server side scripting language
¢ .css C Cascading Style Sheets
¢ .py C Python (Django)
¢ Ruby on Rails
10. @NGENO-2015
LOCAL HOSTING
¢ Run Wamp Server
¢ Ensure icon turns green
¢ Settings for database in phpmyadmin app
directory config.inc.php
¢ Access via localhost address
¢ Create new mysql database
¢ Host directory
C Host codeigniter as a user website
11. @NGENO-2015
Moving Online
¢ Buying a domain
C Namecheap.com
¢ Buying hosting space
C Capabilities: Storage, bandwidth, Applications(shell,
linux, django, geoserver)
C Support
C Cost
¢ Access public files via ftp
C Demonstrate
14. @NGENO-2015
GEOSERVER
¢ During installation mark port number, login details
¢ Access through http://localhost:port_number/geoserver/web
¢ Create new workspace
¢ New Store
C Several choices pick depending on the use
C Chose Directory- for our case
C Copy data into the geoserver data directory as shown in the
server status.
¢ Click on publish and provide the projection(srs)
¢ Declare bounding boxes by computing from data and the
compute from native bounds
¢ Click layer preview and then openlayers for it to launch on
browser
16. @NGENO-2015
DJANGO
¢ Install django
C python -m pip install django
¢ Example
C Open cmd prompt
C Cd to project directory
C django-admin.py startproject mysite
C ls to see all files and cd to subdirectories
C Go to project main directory and run:
C manage.py runserver
¢ Did yours work??