My lightning talk at Go Stockholm meetup Aug 6th 2013

•

1 recomendación•1,719 vistas

The quest for “pipelineable” code
samuel.lampa@gmail.com
twitter.com/smllmp

Python Generator Functions

Generator Function in Go

Using it ...

More advanced example ...

Content of Generator function

Even better:
Flow-based programming
●
Invented at IBM in the 70's
●
Successfully used in many areas:
– Data analysis and ETL (e.g. Pentaho Kettle, Pypes).
– Transactional business applications such as banking software
(originally FBP was made for it)
– Digital signal processing is flow-based
– Multimedia broadcasting (Kamaelia)
– Simulations (LabVIEW).
– Networking (AMQP is a similar approach)
●
New things happening: NoFlo (Node.js) – http://noflo.org

GoFlow Network definition

Base Complementer Component

More info on Flow-based
●
Main website:
www.jpaulmorrison.com/fbp
●
Google+:
gplus.to/flowbased
●
GoFlow:
github.com/trustmaster/goflow

Más contenido relacionado

Similar a My lightning talk at Go Stockholm meetup Aug 6th 2013

Python’s simplicity and ease of onboarding enables even beginners to create practical scripts to automate repetitive tasks or processes that are often time-consuming. In this talk Seoweon shares her experience in putting Python to use from day one in automating such tasks, and provides practical tips in scoping and implementing practical automation. 1. Experience in automating tasks and business processes in Python with minimal programming knowledge 2. How to spot automation opportunities 3. Practical tips for successful implementation

Practical automation for beginners

Practical automation for beginners

Practical automation for beginners

2011 01 06 11-15 kristian raue

2011 01 06 11-15 kristian raue

2011 01 06 11-15 kristian raue

topsoft - inspiring digital business

Did you like it? Check out our blog to stay up to date: https://getindata.com/blog The talk is focused on administration, development and monitoring platform with Apache Spark, Apache Flink and Kubeflow in which the monitoring stack is based on Prometheus stack. Author: Albert Lewandowski Linkedin: https://www.linkedin.com/in/albert-lewandowski/ ___ Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets. Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries. https://getindata.com

Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...

Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...

Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...

Serving ML easily with FastAPI

Serving ML easily with FastAPI

Serving ML easily with FastAPI

Sebastián Ramírez Montaño

Any startup has to have a clear go-to-market strategy from the beginning. Similarly, any data science project has to have a go-to-production strategy from its first days, so it could go beyond proof-of-concept. Machine learning and artificial intelligence in production would result in hundreds of training pipelines and machine learning models that are continuously revised by teams of data scientists and seamlessly connected with web applications for tenants and users. In this demo-based talk we will walk through the best practices for simplifying machine learning operations across the enterprise and providing a serverless abstraction for data scientists and data engineers, so they could train, deploy and monitor machine learning models faster and with better quality.

Serverless machine learning operations

Serverless machine learning operations

Serverless machine learning operations

Stepan Pushkarev

Monitoraggio del Traffico di Rete Usando Python ed ntop

Monitoraggio del Traffico di Rete Usando Python ed ntop

Monitoraggio del Traffico di Rete Usando Python ed ntop

O365Engage17 - How to Automate SharePoint Provisioning with PNP Framework

O365Engage17 - How to Automate SharePoint Provisioning with PNP Framework

O365Engage17 - How to Automate SharePoint Provisioning with PNP Framework

Spark and machine learning in microservices architecture

Spark and machine learning in microservices architecture

Spark and machine learning in microservices architecture

Stepan Pushkarev

Machine learning model to production

Machine learning model to production

Machine learning model to production

I am shubham sharma graduated from Acropolis Institute of technology in Computer Science and Engineering. I have spent around 2 years in field of Machine learning. I am currently working as Data Scientist in Reliance industries private limited Mumbai. Mainly focused on problems related to data handing, data analysis, modeling, forecasting, statistics and machine learning, Deep learning, Computer Vision, Natural language processing etc. Area of interests are Data Analytics, Machine Learning, Machine learning, Time Series Forecasting, web information retrieval, algorithms, Data structures, design patterns, OOAD.

Python ml

DrupalCon Europe 2020 Low Code

DrupalCon Europe 2020 Low Code

DrupalCon Europe 2020 Low Code

Alejandro Moreno

IOT with Drupal 8 - Webinar Hyderabad Drupal Community

IOT with Drupal 8 - Webinar Hyderabad Drupal Community

IOT with Drupal 8 - Webinar Hyderabad Drupal Community

This talk is an application-driven walkthrough to modern stream processing, exemplified by Apache Flink, and how this enables new applications and makes old applications easier and more efficient. In this talk, we will walk through several real-world stream processing application scenarios of Apache Flink, highlighting unique features in Flink that make these applications possible. In particular, we will see (1) how support for handling out of order streams enables real-time monitoring of cloud infrastructure, (2) how the ability handle high-volume data streams with low latency SLAs enables real-time alerts in network equipment, (3) how the combination of high throughput and the ability to handle batch as a special case of streaming enables an architecture where the same exact program is used for real-time and historical data processing, and (4) how stateful stream processing can enable an architecture that eliminates the need for an external database store, leading to more than 100x performance speedup, among many other benefits.

Streaming in the Wild with Apache Flink

Streaming in the Wild with Apache Flink

Streaming in the Wild with Apache Flink

Half-hour tech talk given at user groups or technical conferences to introducing developers to integrating with Google (Cloud) APIs from Python . ABSTRACT Want to integrate Google technologies into the web+mobile apps that you build? Google has various open source libraries & developer tools that help you do exactly that. Users who have run into roadblocks like authentication or found our APIs confusing/challenging, are welcome to come and make these non-issues moving forward. Learn how to leverage the power of Google technologies in the next apps you build!!

Exploring Google APIs with Python

Exploring Google APIs with Python

Exploring Google APIs with Python

Streaming in the Wild with Apache Flink

Streaming in the Wild with Apache Flink

Streaming in the Wild with Apache Flink

DataWorks Summit/Hadoop Summit

Where is the bottleneck

Where is the bottleneck

Where is the bottleneck

Manuel Miranda de Cid

Introduction to serverless computing on Google Cloud

Introduction to serverless computing on Google Cloud

Introduction to serverless computing on Google Cloud

HTML5 - The Python Angle (PyCon Ireland 2010)

HTML5 - The Python Angle (PyCon Ireland 2010)

HTML5 - The Python Angle (PyCon Ireland 2010)

Suneel Marthi – BigPetStore Flink: A Comprehensive Blueprint for Apache Flink

Suneel Marthi – BigPetStore Flink: A Comprehensive Blueprint for Apache Flink

Suneel Marthi – BigPetStore Flink: A Comprehensive Blueprint for Apache Flink

Near real-time anomaly detection at Lyft

Near real-time anomaly detection at Lyft

Near real-time anomaly detection at Lyft

Similar a My lightning talk at Go Stockholm meetup Aug 6th 2013 (20)

Practical automation for beginners

Practical automation for beginners

Practical automation for beginners

2011 01 06 11-15 kristian raue

2011 01 06 11-15 kristian raue

2011 01 06 11-15 kristian raue

Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...

Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...

Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...

Serving ML easily with FastAPI

Serving ML easily with FastAPI

Serving ML easily with FastAPI

Serverless machine learning operations

Serverless machine learning operations

Serverless machine learning operations

Monitoraggio del Traffico di Rete Usando Python ed ntop

Monitoraggio del Traffico di Rete Usando Python ed ntop

Monitoraggio del Traffico di Rete Usando Python ed ntop

O365Engage17 - How to Automate SharePoint Provisioning with PNP Framework

O365Engage17 - How to Automate SharePoint Provisioning with PNP Framework

O365Engage17 - How to Automate SharePoint Provisioning with PNP Framework

Spark and machine learning in microservices architecture

Spark and machine learning in microservices architecture

Spark and machine learning in microservices architecture

Machine learning model to production

Machine learning model to production

Machine learning model to production

Python ml

DrupalCon Europe 2020 Low Code

DrupalCon Europe 2020 Low Code

DrupalCon Europe 2020 Low Code

IOT with Drupal 8 - Webinar Hyderabad Drupal Community

IOT with Drupal 8 - Webinar Hyderabad Drupal Community

IOT with Drupal 8 - Webinar Hyderabad Drupal Community

Streaming in the Wild with Apache Flink

Streaming in the Wild with Apache Flink

Streaming in the Wild with Apache Flink

Exploring Google APIs with Python

Exploring Google APIs with Python

Exploring Google APIs with Python

Streaming in the Wild with Apache Flink

Streaming in the Wild with Apache Flink

Streaming in the Wild with Apache Flink

Where is the bottleneck

Where is the bottleneck

Where is the bottleneck

Introduction to serverless computing on Google Cloud

Introduction to serverless computing on Google Cloud

Introduction to serverless computing on Google Cloud

HTML5 - The Python Angle (PyCon Ireland 2010)

HTML5 - The Python Angle (PyCon Ireland 2010)

HTML5 - The Python Angle (PyCon Ireland 2010)

Suneel Marthi – BigPetStore Flink: A Comprehensive Blueprint for Apache Flink

Suneel Marthi – BigPetStore Flink: A Comprehensive Blueprint for Apache Flink

Suneel Marthi – BigPetStore Flink: A Comprehensive Blueprint for Apache Flink

Near real-time anomaly detection at Lyft

Near real-time anomaly detection at Lyft

Near real-time anomaly detection at Lyft

Más de Samuel Lampa

Using Flow-based programming to write tools and workflows for Scientific Comp...

Using Flow-based programming to write tools and workflows for Scientific Comp...

Using Flow-based programming to write tools and workflows for Scientific Comp...

Linked Data for improved organization of research data

Linked Data for improved organization of research data

Linked Data for improved organization of research data

How to document computational research projects

How to document computational research projects

How to document computational research projects

Slides for a talk held at BioScience Seminar at Dept. of Pharmaceutical BioSciences at Uppsala University on December 16, 2016. The event webpage: http://www.farmbio.uu.se/calendar/kalendarium-detaljsida/?eventId=22496 Structure of the talk: Reproducibility in Scientific Data Analysis ... ● What is it? ● Why is it important? ● Why is it a problem? ● What can we do about it? ● What does pharmb.io do about it?

Reproducibility in Scientific Data Analysis - BioScience Seminar

Reproducibility in Scientific Data Analysis - BioScience Seminar

Reproducibility in Scientific Data Analysis - BioScience Seminar

Batch import of large RDF datasets into Semantic MediaWiki

Batch import of large RDF datasets into Semantic MediaWiki

Batch import of large RDF datasets into Semantic MediaWiki

Vagrant, Ansible and Docker - How they fit together for productive flexible d...

Vagrant, Ansible and Docker - How they fit together for productive flexible d...

Vagrant, Ansible and Docker - How they fit together for productive flexible d...

iRODS Rule Language Cheat Sheet

iRODS Rule Language Cheat Sheet

iRODS Rule Language Cheat Sheet

First encounter with Elixir - Some random things

First encounter with Elixir - Some random things

First encounter with Elixir - Some random things

Profiling go code a beginners tutorial

Profiling go code a beginners tutorial

Profiling go code a beginners tutorial

Flow based programming an overview

Flow based programming an overview

Flow based programming an overview

Python Generators - Talk at PySthlm meetup #15

Python Generators - Talk at PySthlm meetup #15

Python Generators - Talk at PySthlm meetup #15

The RDFIO Extension - A Status update

The RDFIO Extension - A Status update

The RDFIO Extension - A Status update

Hooking up Semantic MediaWiki with external tools via SPARQL

Hooking up Semantic MediaWiki with external tools via SPARQL

Hooking up Semantic MediaWiki with external tools via SPARQL

Thesis presentation Samuel Lampa

Thesis presentation Samuel Lampa

Thesis presentation Samuel Lampa

3rd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

3rd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

3rd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

2nd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

2nd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

2nd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

Más de Samuel Lampa (16)

Using Flow-based programming to write tools and workflows for Scientific Comp...

Using Flow-based programming to write tools and workflows for Scientific Comp...

Using Flow-based programming to write tools and workflows for Scientific Comp...

Linked Data for improved organization of research data

Linked Data for improved organization of research data

Linked Data for improved organization of research data

How to document computational research projects

How to document computational research projects

How to document computational research projects

Reproducibility in Scientific Data Analysis - BioScience Seminar

Reproducibility in Scientific Data Analysis - BioScience Seminar

Reproducibility in Scientific Data Analysis - BioScience Seminar

Batch import of large RDF datasets into Semantic MediaWiki

Batch import of large RDF datasets into Semantic MediaWiki

Batch import of large RDF datasets into Semantic MediaWiki

Vagrant, Ansible and Docker - How they fit together for productive flexible d...

Vagrant, Ansible and Docker - How they fit together for productive flexible d...

Vagrant, Ansible and Docker - How they fit together for productive flexible d...

iRODS Rule Language Cheat Sheet

iRODS Rule Language Cheat Sheet

iRODS Rule Language Cheat Sheet

First encounter with Elixir - Some random things

First encounter with Elixir - Some random things

First encounter with Elixir - Some random things

Profiling go code a beginners tutorial

Profiling go code a beginners tutorial

Profiling go code a beginners tutorial

Flow based programming an overview

Flow based programming an overview

Flow based programming an overview

Python Generators - Talk at PySthlm meetup #15

Python Generators - Talk at PySthlm meetup #15

Python Generators - Talk at PySthlm meetup #15

The RDFIO Extension - A Status update

The RDFIO Extension - A Status update

The RDFIO Extension - A Status update

Hooking up Semantic MediaWiki with external tools via SPARQL

Hooking up Semantic MediaWiki with external tools via SPARQL

Hooking up Semantic MediaWiki with external tools via SPARQL

Thesis presentation Samuel Lampa

Thesis presentation Samuel Lampa

Thesis presentation Samuel Lampa

3rd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

3rd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

3rd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

2nd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

2nd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

2nd Proj. Update: Integrating SWI-Prolog for Semantic Reasoning in Bioclipse

Último

Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

SynarionITSolutions

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Último (20)

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

Top 10 Most Downloaded Games on Play Store in 2024

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

My lightning talk at Go Stockholm meetup Aug 6th 2013

1. The quest for “pipelineable” code samuel.lampa@gmail.com twitter.com/smllmp

2. Python Generator Functions

3. Generator Function in Go

4. Using it ...

5. More advanced example ...

6. Content of Generator function

7. Even better: Flow-based programming ● Invented at IBM in the 70's ● Successfully used in many areas: – Data analysis and ETL (e.g. Pentaho Kettle, Pypes). – Transactional business applications such as banking software (originally FBP was made for it) – Digital signal processing is flow-based – Multimedia broadcasting (Kamaelia) – Simulations (LabVIEW). – Networking (AMQP is a similar approach) ● New things happening: NoFlo (Node.js) – http://noflo.org

8. GoFlow Network definition

9. Base Complementer Component

10. More info on Flow-based ● Main website: www.jpaulmorrison.com/fbp ● Google+: gplus.to/flowbased ● GoFlow: github.com/trustmaster/goflow