Jupyter news August 2016
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Notes for PyData-ATL lightning talk about recent news for Jupyter, based on Jupyter Day 2016 conference
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Node.js - JavaScript Chicago Meetup
Jason Huggins' (founder/CTO Sauce Labs), presentation to the JavaScript Chicago Meetup on January 28, 2010. Node.js: "The first non-browser version of JavaScript you'll want to use for every-day scripting and creating servers"
Github
GitHub is a Web-based Git repository hosting service. It offers all of the distributed revision control and source code management (SCM) functionality of Git as well as adding its own features. Unlike Git, which is strictly a command-line tool, GitHub provides a Web-based graphical interface and desktop as well as mobile integration. It also provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for every project.
Boston Code Dojo - Docker meetup slides
The document discusses development environments using Docker containers. It notes that Docker can simplify collaboration by eliminating dependency issues and allowing for reusable, distributable images. Docker provides fast builds through caching and composability through linking and sharing data between containers. An example dev environment is provided that builds an API image with different branches. Challenges are posed around breaking projects into containerized pieces and sharing code between containers and hosts to enable live reloading as code changes.
Writing your own browser reload functionality
1) The document discusses building browser reload functionality from scratch for a geographic information systems company. It outlines using Gulp to detect code changes, process files, and reload browsers.
2) A Node.js server is used to establish secure web socket connections between browsers and the Laravel application to trigger reloads on code changes.
3) While existing solutions like Livereload and Browsersync were considered, they did not meet the goals of supporting any browser and HTTP/2. The presented solution proxies web sockets through Nginx to work behind firewalls.
Deploy in scale with Docker, CoreOS, Kubernetes and Apache Stratos
Kubernetes is an open-source platform developed by Google for hosting and managing Docker containers across clustered infrastructure, providing features like container grouping, load balancing, automatic healing and manual scaling. Started by Google, it is now supported and contributed to by many major tech companies including Google, Microsoft, Redhat and VMWare.
Dev-Ops
This document discusses DevOps tools and technologies. DevOps combines development and operations to shorten the systems development life cycle and provide continuous delivery. Key tools mentioned include Jenkins for continuous integration; Puppet, Docker, Ansible, and Chef for infrastructure automation and configuration management; Git for version control; Docker and other tools for containers; Terraform, Pulumi, Ansible, and Salt for infrastructure as code; Kubernetes and others for container orchestration; and Jenkins, TeamCity, and Azure DevOps for continuous integration, with ArgoCD and others enabling continuous deployment.
Git: be social
This document introduces version control systems and Git. It discusses the history and features of Git, how it differs from centralized and local version control systems in using a distributed and non-linear model. The document then provides a tutorial on basic Git commands and workflows for initializing and cloning repositories, tracking and committing changes, viewing history and undoing changes, working with remote repositories, tagging, and using branches.
Docker. Micro services for lazy developers
This document discusses using Docker and microservices to build applications. It introduces Docker and how containers work at the process level in an isolated and lightweight way. It demonstrates how to build Dockerfiles for Node.js and Python applications, use Docker Hub for images, and run multi-container apps with Docker Compose. Some challenges of Docker like learning curve, build time, and file refresh are also outlined.
Recommended
Node.js - JavaScript Chicago Meetup
Jason Huggins' (founder/CTO Sauce Labs), presentation to the JavaScript Chicago Meetup on January 28, 2010. Node.js: "The first non-browser version of JavaScript you'll want to use for every-day scripting and creating servers"
Github
GitHub is a Web-based Git repository hosting service. It offers all of the distributed revision control and source code management (SCM) functionality of Git as well as adding its own features. Unlike Git, which is strictly a command-line tool, GitHub provides a Web-based graphical interface and desktop as well as mobile integration. It also provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for every project.
Boston Code Dojo - Docker meetup slides
The document discusses development environments using Docker containers. It notes that Docker can simplify collaboration by eliminating dependency issues and allowing for reusable, distributable images. Docker provides fast builds through caching and composability through linking and sharing data between containers. An example dev environment is provided that builds an API image with different branches. Challenges are posed around breaking projects into containerized pieces and sharing code between containers and hosts to enable live reloading as code changes.
Writing your own browser reload functionality
1) The document discusses building browser reload functionality from scratch for a geographic information systems company. It outlines using Gulp to detect code changes, process files, and reload browsers.
2) A Node.js server is used to establish secure web socket connections between browsers and the Laravel application to trigger reloads on code changes.
3) While existing solutions like Livereload and Browsersync were considered, they did not meet the goals of supporting any browser and HTTP/2. The presented solution proxies web sockets through Nginx to work behind firewalls.
Deploy in scale with Docker, CoreOS, Kubernetes and Apache Stratos
Kubernetes is an open-source platform developed by Google for hosting and managing Docker containers across clustered infrastructure, providing features like container grouping, load balancing, automatic healing and manual scaling. Started by Google, it is now supported and contributed to by many major tech companies including Google, Microsoft, Redhat and VMWare.
Dev-Ops
This document discusses DevOps tools and technologies. DevOps combines development and operations to shorten the systems development life cycle and provide continuous delivery. Key tools mentioned include Jenkins for continuous integration; Puppet, Docker, Ansible, and Chef for infrastructure automation and configuration management; Git for version control; Docker and other tools for containers; Terraform, Pulumi, Ansible, and Salt for infrastructure as code; Kubernetes and others for container orchestration; and Jenkins, TeamCity, and Azure DevOps for continuous integration, with ArgoCD and others enabling continuous deployment.
Git: be social
This document introduces version control systems and Git. It discusses the history and features of Git, how it differs from centralized and local version control systems in using a distributed and non-linear model. The document then provides a tutorial on basic Git commands and workflows for initializing and cloning repositories, tracking and committing changes, viewing history and undoing changes, working with remote repositories, tagging, and using branches.
Docker. Micro services for lazy developers
This document discusses using Docker and microservices to build applications. It introduces Docker and how containers work at the process level in an isolated and lightweight way. It demonstrates how to build Dockerfiles for Node.js and Python applications, use Docker Hub for images, and run multi-container apps with Docker Compose. Some challenges of Docker like learning curve, build time, and file refresh are also outlined.
Emmabuntus
Emmabuntüs is a Linux distribution based on Debian and Ubuntu that is designed for refurbished computers used by humanitarian organizations. It contains multiple applications like browsers, office suites, media players, and utilities to extend hardware lifespan and reduce electronics waste. The latest version 3.1 updates many core applications like Firefox, Chromium, GIMP, and VLC to their newest versions while keeping the overall goal of being accessible to beginners and children using older computers.
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“Singularity is an open source container solution being developed specifically for HPC environments. With Singularity, HPC users can safely bring their own execution environments to the cluster. Unlike other container solutions,Singularity does not require root level permissions to run containers, which allows users to freely control what software stack they wish to use.Provisioning of a container image can be done locally on the user’s machine or on Singularity Hub. The resulting image can then be securely executed on any machine with Singularity installed. Reproduction of results has never been easier: a user can now share a single Singularity image file that will ensure a consistent execution environment wherever it is run.
This presentation will provide an in-depth look at how Singularity is able to securely run user containers on HPC systems. After a brief introduction to Singularity and its relationship to other container solutions, the details of Singularity’s runtime will be explored. The way that Singularity leverages Linux features such as namespaces, bind mounts, and SUID binaries will be discussed in further detail as well.”
guadec-2015-developer-switch-dreams
This document discusses ways to improve the developer experience (DX) for the GNOME desktop environment to help attract more contributors. It suggests adding a "Developer Mode" switch to make GNOME development tools easily accessible. It also proposes creating "GNOME Ambassadors" to help new developers get started, improving documentation, and making platform libraries and APIs easier to use. The document advocates for the xdg-app framework to allow developers to more easily package and distribute applications independently of Linux distributions. Overall it argues that enhancing the GNOME developer experience through better tools, documentation, and support can help grow the community of contributors.
D-DAY 2015 Conteneurisé une startup
La startup Yuzu, accompagnée de la société Vixns, a opté pour le choix d'une infrastructure Docker tournant sur Mesos/Marathon/Consul. De l'environnement de développement jusqu'au monitoring au quotidien, nous vous ferons part de nos erreurs, réussites, workflows et outils utilisés.
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A brief introduction on Kubernetes's main concepts. Kubernetes is a container orchestrator developed by Google in 2014 and donate for the CNCF in 2015.
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Ubuntu-Overview
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Sonatype Nexus can be installed on an Amazon EC2 Ubuntu server to host software libraries for Android development projects. Nexus is downloaded and extracted, the nexus user is created, and configuration files are edited to set the home directory and user. Archives can then be uploaded to Nexus and projects can define Nexus as a repository in their build.gradle files to access dependencies from Nexus. Exoplayer is provided as an example library.
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Jupyter, A Platform for Data Science at Scale
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A Jupyter kernel for Scala and Apache Spark.pdf
Many data scientists are already making heavy usage of the Jupyter ecosystem for analyzing data using interactive notebooks. Apache Toree (incubating) is a Jupyter kernel designed that enables data scientists and data engineers to easily connect and leverage Apache Spark and its powerful APIs from a standard Jupyter notebook to execute their analytics workloads. In this talk, we will go over what's new with the most recent Apache Toree release. We will cover available magics and visualizations extensions that can be integrated with Toree to enable better data exploration and data visualizations. We will also describe some high-level designs of Toree and how users can extend the functionality of Apache Toree powerful plugin system. And all of these with multiple live demos that demonstrate how Toree can help with your analytics workloads in an Apache Spark environment.
Git hub
This document provides an overview of version control systems and Git/GitHub. It begins by defining version control as a system to track changes to files over time. It then discusses Git as a version control system and GitHub as a hosting service for Git repositories. Key concepts for GitHub users like repositories, forking, and upstream are defined. The document demonstrates the GitHub workflow and shows how to create repositories using the GitHub Desktop GUI.
The Five Stages of Enterprise Jupyter Deployment
Meetup talk from May 30, 2018.
Jupyter notebooks are an important tool for data science. For a single user on a laptop, these notebooks are a simple, straightforward tool. But Jupyter in the enterprise is a much more complex affair. Enterprises have large teams of data scientists who need to run their notebooks atop scalable compute infrastructure with secure, audited access to massive, proprietary data sets; all while keeping hardware costs down.
Here at IBM’s Center for Open-Source Data and AI Technologies, we’ve seen multiple enterprise rollouts of Jupyter notebooks, both first-hand, in IBM products and services; and second-hand, in our discussions with other members of the Jupyter community.
In this talk, we merge together the stories of these projects and walk through the process of deploying high-performance, secure, mulitentant Jupyter notebooks in an enterprise setting. Our goal is here is inform others who may be at the beginning of this journey of what is coming and how to navigate the challenges ahead.
Along the way, we answer five important questions: What are Jupyter notebooks? What makes Jupyter so attractive to data scientists? Why is deploying Jupyter in the enterprise difficult? What are your deployment options today? And, what are the tradeoffs of those approaches?
We’ll finish with a description of how how IBM and other members of the Jupyter community are working towards reducing those tradeoffs with the Jupyter Enterprise Gateway project. Finally, we’ll give a demonstration of multitenant Jupyter notebooks in action.
This talk is aimed at enterprise architects who need to support growing data science teams with multi-user deployments of Jupyter. No knowledge of data science is required.
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JupyterHub - A "Thing Explainer" Overview
JupyterHub allows each user in a group to have their own Jupyter notebook server. It has three main parts: the hub, which manages authentication and spawns single-user notebook servers; a user database to store user information; and an authenticator to verify users' identities. When a user logs in, the hub's spawner creates a dedicated notebook server for that user. JupyterHub is useful for shared computing resources like classrooms, workshops, or research groups.
What's new in kubernetes 1.3?
What's new in Kubernetes 1.3?
New things like:
Petsets, init-containers, ubernetes, federated clusters, improved kubernetes UI, minikube, support for rkt, etc.
Also find out sources to learn Kubernetes, how to participate with k8s community.
Open Source Dev Containers with DevPod - Rich Burroughs.pdf
Many developers are excited about dev containers, but until now, people needed to use a managed service like Codespaces or Gitpod to feel that dev container magic. DevPod is a new open source tool that allows users to launch dev containers with any infrastructure that they have available.
DevPod uses a provider model like Terraform's, and there are currently providers for many different infrastructures, like local Docker daemons, Kubernetes, AWS, and several other cloud providers. It's also possible to develop providers if you don't find one that fits your needs.
While you can choose the infra you want to use with DevPod, you don't have to manage it. DevPod handles the lifecycle of the infrastructure it runs on, and it can even suspend cloud resources automatically to save on costs. DevPod uses the open devcontainer.json standard, so it's compatible with VS Code and many other IDEs, as well as tools like Codespaces.
We'll look at how DevPod works and get into a quick demo that showcases how it can help developers and teams standardize their dev environments.
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Emmabuntus
Emmabuntüs is a Linux distribution based on Debian and Ubuntu that is designed for refurbished computers used by humanitarian organizations. It contains multiple applications like browsers, office suites, media players, and utilities to extend hardware lifespan and reduce electronics waste. The latest version 3.1 updates many core applications like Firefox, Chromium, GIMP, and VLC to their newest versions while keeping the overall goal of being accessible to beginners and children using older computers.
Singularity: The Inner Workings of Securely Running User Containers on HPC Sy...
“Singularity is an open source container solution being developed specifically for HPC environments. With Singularity, HPC users can safely bring their own execution environments to the cluster. Unlike other container solutions,Singularity does not require root level permissions to run containers, which allows users to freely control what software stack they wish to use.Provisioning of a container image can be done locally on the user’s machine or on Singularity Hub. The resulting image can then be securely executed on any machine with Singularity installed. Reproduction of results has never been easier: a user can now share a single Singularity image file that will ensure a consistent execution environment wherever it is run.
This presentation will provide an in-depth look at how Singularity is able to securely run user containers on HPC systems. After a brief introduction to Singularity and its relationship to other container solutions, the details of Singularity’s runtime will be explored. The way that Singularity leverages Linux features such as namespaces, bind mounts, and SUID binaries will be discussed in further detail as well.”
guadec-2015-developer-switch-dreams
This document discusses ways to improve the developer experience (DX) for the GNOME desktop environment to help attract more contributors. It suggests adding a "Developer Mode" switch to make GNOME development tools easily accessible. It also proposes creating "GNOME Ambassadors" to help new developers get started, improving documentation, and making platform libraries and APIs easier to use. The document advocates for the xdg-app framework to allow developers to more easily package and distribute applications independently of Linux distributions. Overall it argues that enhancing the GNOME developer experience through better tools, documentation, and support can help grow the community of contributors.
D-DAY 2015 Conteneurisé une startup
La startup Yuzu, accompagnée de la société Vixns, a opté pour le choix d'une infrastructure Docker tournant sur Mesos/Marathon/Consul. De l'environnement de développement jusqu'au monitoring au quotidien, nous vous ferons part de nos erreurs, réussites, workflows et outils utilisés.
First steps with kubernetes
A brief introduction on Kubernetes's main concepts. Kubernetes is a container orchestrator developed by Google in 2014 and donate for the CNCF in 2015.
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The Yuzu startup, helped by Vixns, chose to have a docker infrastructure with Mesos/Marathon/Consul. From the development environment to our prod monitoring, we share our mistakes, successes, workflows and tools.
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Kotti is a high-level, Pythonic web application framework built on top of Pyramid, SQLAlchemy, and Twitter Bootstrap. It provides a minimalistic framework for building content-centric web applications and includes features like content editing, user accounts, and i18n support out of the box. Kotti is open source, released under the BSD license, and supports Python 3.
06/03/19 Docker, Docker Compose y Heroku - Granada Developer Group - Salesforce
Trasladar un container de Docker a Heroku ha sido una característica bastante esperada hasta ahora. En este seminario cubrimos los conocimientos básicos de docker y docker-compose así como reciente integración con Heroku (Julio 2018), vemos qué posibilidades y beneficios nos aporta tanto el uso de docker como la integración de este con Heroku y finalmente cómo aplicarlo de una manera óptima y rápida en nuestro entorno de desarrollo desde cero.
Ubuntu-Overview
Ubuntu is a popular Linux-based operating system that is free, open-source and user-friendly. It has many advantages over other operating systems like Windows including being less resource intensive, more secure, and providing regular free updates. Ubuntu is widely used both for personal computers and servers around the world.
[JDV_TechTalk] Make a Heroku-like Server in Digital Ocean
TechTalk about how to make auto deploy on push server like Heroku but at our own server in Digital Ocean.
Arranged by Qiscus, supported by Jogja Digital Valley
Intoduction to Linux
This document provides an overview of Linux and open source software. It discusses that Linux is the kernel of an operating system and was created by Linus Torvalds. It also explains that open source software allows users to view and modify source code. Finally, it outlines some popular Linux distributions and common Linux commands.
SCA 2009 寒訓講義
This document discusses the history of free and open-source software from the 1960s to the present. It describes how early hackers believed all information should be free and computers should be accessible to all. It outlines Richard Stallman's four freedoms of free software in the 1970s. It also mentions the development of Unix, Linux, and criticisms of sharing software without payment. The document concludes with an overview of the xPUD small Linux distribution focused on experimentation.
20160929 android taipei Sonatype nexus on amazon ec2
Sonatype Nexus can be installed on an Amazon EC2 Ubuntu server to host software libraries for Android development projects. Nexus is downloaded and extracted, the nexus user is created, and configuration files are edited to set the home directory and user. Archives can then be uploaded to Nexus and projects can define Nexus as a repository in their build.gradle files to access dependencies from Nexus. Exoplayer is provided as an example library.
605 open source applications
Open Source applications provide alternatives to commercial software that fill needs not met by paid options. Some key open source applications include GNU/Linux, which was completed by Linus Torvalds' kernel in 1992; SourceForge, a portal for developing and distributing open source software; and Firefox, one of the first successful open source browsers and current market leader. These and other open source tools like FreeNAS, Gparted, Clonezilla, and VLC Media Player offer free and customizable alternatives to proprietary software.
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[JDV_TechTalk] Make a Heroku-like Server in Digital Ocean
20160929 android taipei Sonatype nexus on amazon ec2
20160929 android taipei Sonatype nexus on amazon ec2
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This document discusses Jupyter, an open-source tool for interactive data science and scientific computing. Jupyter allows for interactive exploration, development, and communication through code, equations, visualizations and narrative text. It supports over 50 programming languages and has found widespread adoption in academia and industry for individual and collaborative work across the entire workflow of a scientific idea from data collection to publication. The document outlines Jupyter's history and architecture, ecosystem of related projects, and future development plans to enhance collaboration and software engineering capabilities.
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Many data scientists are already making heavy usage of the Jupyter ecosystem for analyzing data using interactive notebooks. Apache Toree (incubating) is a Jupyter kernel designed that enables data scientists and data engineers to easily connect and leverage Apache Spark and its powerful APIs from a standard Jupyter notebook to execute their analytics workloads. In this talk, we will go over what's new with the most recent Apache Toree release. We will cover available magics and visualizations extensions that can be integrated with Toree to enable better data exploration and data visualizations. We will also describe some high-level designs of Toree and how users can extend the functionality of Apache Toree powerful plugin system. And all of these with multiple live demos that demonstrate how Toree can help with your analytics workloads in an Apache Spark environment.
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This document provides an overview of version control systems and Git/GitHub. It begins by defining version control as a system to track changes to files over time. It then discusses Git as a version control system and GitHub as a hosting service for Git repositories. Key concepts for GitHub users like repositories, forking, and upstream are defined. The document demonstrates the GitHub workflow and shows how to create repositories using the GitHub Desktop GUI.
The Five Stages of Enterprise Jupyter Deployment
Meetup talk from May 30, 2018.
Jupyter notebooks are an important tool for data science. For a single user on a laptop, these notebooks are a simple, straightforward tool. But Jupyter in the enterprise is a much more complex affair. Enterprises have large teams of data scientists who need to run their notebooks atop scalable compute infrastructure with secure, audited access to massive, proprietary data sets; all while keeping hardware costs down.
Here at IBM’s Center for Open-Source Data and AI Technologies, we’ve seen multiple enterprise rollouts of Jupyter notebooks, both first-hand, in IBM products and services; and second-hand, in our discussions with other members of the Jupyter community.
In this talk, we merge together the stories of these projects and walk through the process of deploying high-performance, secure, mulitentant Jupyter notebooks in an enterprise setting. Our goal is here is inform others who may be at the beginning of this journey of what is coming and how to navigate the challenges ahead.
Along the way, we answer five important questions: What are Jupyter notebooks? What makes Jupyter so attractive to data scientists? Why is deploying Jupyter in the enterprise difficult? What are your deployment options today? And, what are the tradeoffs of those approaches?
We’ll finish with a description of how how IBM and other members of the Jupyter community are working towards reducing those tradeoffs with the Jupyter Enterprise Gateway project. Finally, we’ll give a demonstration of multitenant Jupyter notebooks in action.
This talk is aimed at enterprise architects who need to support growing data science teams with multi-user deployments of Jupyter. No knowledge of data science is required.
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The document discusses the concept of "Docs Like Code", which treats documentation like code by storing docs in version control systems, using plain text formats, and integrating doc writing and publishing into the same workflow as software development. It provides the case study of Apache Pulsar, which uses GitHub and other tools to collaborate effectively on docs between developers, writers and users. Benefits include better doc quality and syncing with code through continuous integration/deployment of docs.
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What's new in kubernetes 1.3?
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New things like:
Petsets, init-containers, ubernetes, federated clusters, improved kubernetes UI, minikube, support for rkt, etc.
Also find out sources to learn Kubernetes, how to participate with k8s community.
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Many developers are excited about dev containers, but until now, people needed to use a managed service like Codespaces or Gitpod to feel that dev container magic. DevPod is a new open source tool that allows users to launch dev containers with any infrastructure that they have available.
DevPod uses a provider model like Terraform's, and there are currently providers for many different infrastructures, like local Docker daemons, Kubernetes, AWS, and several other cloud providers. It's also possible to develop providers if you don't find one that fits your needs.
While you can choose the infra you want to use with DevPod, you don't have to manage it. DevPod handles the lifecycle of the infrastructure it runs on, and it can even suspend cloud resources automatically to save on costs. DevPod uses the open devcontainer.json standard, so it's compatible with VS Code and many other IDEs, as well as tools like Codespaces.
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Data Engineer's Lunch #52: JupyterHub/JupyterLab on Kubernetes
In Data Engineer's Lunch #52 we will deploy JupyterHub/JupyterLab on Kubernetes
Accompanying Blog: Coming Soon!
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Docker based-Pipelines with Codefresh
>>WATCH THE WEBINAR HERE: https://codefresh.io/docker-based-pipelines-with-codefresh/
Most people think that Docker adoption means deploying Docker images. In this webinar, we will see the alternative way of adopting Docker in a Continuous Integration Pipeline, by packaging all build tools inside Docker containers. This makes it very easy to use different tool versions on the same build and puts an end to version conflicts in build machines. We will use Codefresh as a CI/CD solution as it fully supports pipelines where each build step is running on its own container image.
Sign up for FREE Codefresh account (120 builds/month) at Codefresh.io/codefresh-signup
Jetpack SDK: The new possibility of the extensions on browser
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Using nu get the way you should svcc
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Consuming NuGet packages, that’s what everyone does. Open source projects create NuGet packages and post them on NuGet.org. Meanwhile, all of us are still working with shared projects and fighting relative paths, versioning and so on. In this talk, we’ll use Visual Studio, NuGet and TeamCity to work with NuGet the way you should. Project references must die! Add Package Reference and good continuous integration is everything you will ever need.
Hg for bioinformatics, second part
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
学校原件一模一样【微信：741003700 】《(unimelb毕业证书)墨尔本大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版制作【微信:41543339】【弗林德斯大学毕业证(Flinders毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(harvard毕业证书）哈佛大学毕业证如何办理
一模一样【微信：A575476】【(harvard毕业证书）哈佛大学毕业证成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Open Source Contributions to Postgres: The Basics POSETTE 2024
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版制作【微信:41543339】【利兹贝克特大学毕业证(LeedsBeckett毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Build applications with generative AI on Google Cloud
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
University of New South Wales degree offer diploma Transcript
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Jupyter news August 2016
- 1. Jupyter news: Aug 2016 Rob Clewley
- 2. JupyterHub • Multi-user server with independent notebook server per user • I.e. to solve the deployment problem • NOTE: Not for multiple users collaborating on the same notebook Carol Willing
- 3. JupyterHub • Works via NodeJS proxy • Uses Docker, load balancing with Docker Swarm • Hub is Python & Tornado • Works with both Python 2 and 3 • https://jupyterhub.readthedocs.io/en/latest/ • https://github.com/jupyterhub/jupyterhub
- 4. JupyterHub
- 5. JupyterLab is alpha • IDE with panels inside a browser tab • Improved UI, esp. file browser and console • Extensible environment based around plugins • Emphasis as much on script/console as notebook / narrative Steven Silvester
- 6. JupyterLab
- 7. JupyterLab • Based on Continuum's open source PhosphorJS framework: – http://phosphorjs.github.io • Integration with git/GitHub is coming (inc. nbdime for diff/merge) • Live-rendered tabs alongside source • Graphical interaction widgets have been switched off until a sprint due in Sept/Oct: – matplotlib 2.0.0 will assist in making widgets work properly – (it will use jupyter's own version of ipywidgets)