SlideShare une entreprise Scribd logo
1  sur  1
Télécharger pour lire hors ligne
Data Oriented Programming
or:
How I Learned to Stop Worrying about CPU Speed
and Love Memory Access
Francesc Alted
Freelance Trainer And Developer

Contenu connexe

En vedette

Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...PyData
 
How Soon is Now: automatically extracting publication dates of news articles ...
How Soon is Now: automatically extracting publication dates of news articles ...How Soon is Now: automatically extracting publication dates of news articles ...
How Soon is Now: automatically extracting publication dates of news articles ...PyData
 
Faster Python Programs Through Optimization by Dr.-Ing Mike Muller
Faster Python Programs Through Optimization by Dr.-Ing Mike MullerFaster Python Programs Through Optimization by Dr.-Ing Mike Muller
Faster Python Programs Through Optimization by Dr.-Ing Mike MullerPyData
 
Python resampling
Python resamplingPython resampling
Python resamplingPyData
 
Doing frequentist statistics with scipy
Doing frequentist statistics with scipyDoing frequentist statistics with scipy
Doing frequentist statistics with scipyPyData
 
Fang Xu- Enriching content with Knowledge Base by Search Keywords and Wikidata
Fang Xu- Enriching content with Knowledge Base by Search Keywords and WikidataFang Xu- Enriching content with Knowledge Base by Search Keywords and Wikidata
Fang Xu- Enriching content with Knowledge Base by Search Keywords and WikidataPyData
 
Low-rank matrix approximations in Python by Christian Thurau PyData 2014
Low-rank matrix approximations in Python by Christian Thurau PyData 2014Low-rank matrix approximations in Python by Christian Thurau PyData 2014
Low-rank matrix approximations in Python by Christian Thurau PyData 2014PyData
 
Promoting a Data Driven Culture in a Microservices Environment
Promoting a Data Driven Culture in a Microservices EnvironmentPromoting a Data Driven Culture in a Microservices Environment
Promoting a Data Driven Culture in a Microservices EnvironmentPyData
 
Making your code faster cython and parallel processing in the jupyter notebook
Making your code faster   cython and parallel processing in the jupyter notebookMaking your code faster   cython and parallel processing in the jupyter notebook
Making your code faster cython and parallel processing in the jupyter notebookPyData
 
Large scale-ctr-prediction lessons-learned-florian-hartl
Large scale-ctr-prediction lessons-learned-florian-hartlLarge scale-ctr-prediction lessons-learned-florian-hartl
Large scale-ctr-prediction lessons-learned-florian-hartlPyData
 
GraphGen: Conducting Graph Analytics over Relational Databases
GraphGen: Conducting Graph Analytics over Relational DatabasesGraphGen: Conducting Graph Analytics over Relational Databases
GraphGen: Conducting Graph Analytics over Relational DatabasesPyData
 
Embracing the Monolith in Small Teams: Doubling down on python to move fast w...
Embracing the Monolith in Small Teams: Doubling down on python to move fast w...Embracing the Monolith in Small Teams: Doubling down on python to move fast w...
Embracing the Monolith in Small Teams: Doubling down on python to move fast w...PyData
 
Bayesian Network Modeling using Python and R
Bayesian Network Modeling using Python and RBayesian Network Modeling using Python and R
Bayesian Network Modeling using Python and RPyData
 
Transfer Learning and Fine-tuning Deep Neural Networks
 Transfer Learning and Fine-tuning Deep Neural Networks Transfer Learning and Fine-tuning Deep Neural Networks
Transfer Learning and Fine-tuning Deep Neural NetworksPyData
 
How I learned to time travel, or, data pipelining and scheduling with Airflow
How I learned to time travel, or, data pipelining and scheduling with AirflowHow I learned to time travel, or, data pipelining and scheduling with Airflow
How I learned to time travel, or, data pipelining and scheduling with AirflowPyData
 

En vedette (15)

Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
Dark Data: A Data Scientists Exploration of the Unknown by Rob Witoff PyData ...
 
How Soon is Now: automatically extracting publication dates of news articles ...
How Soon is Now: automatically extracting publication dates of news articles ...How Soon is Now: automatically extracting publication dates of news articles ...
How Soon is Now: automatically extracting publication dates of news articles ...
 
Faster Python Programs Through Optimization by Dr.-Ing Mike Muller
Faster Python Programs Through Optimization by Dr.-Ing Mike MullerFaster Python Programs Through Optimization by Dr.-Ing Mike Muller
Faster Python Programs Through Optimization by Dr.-Ing Mike Muller
 
Python resampling
Python resamplingPython resampling
Python resampling
 
Doing frequentist statistics with scipy
Doing frequentist statistics with scipyDoing frequentist statistics with scipy
Doing frequentist statistics with scipy
 
Fang Xu- Enriching content with Knowledge Base by Search Keywords and Wikidata
Fang Xu- Enriching content with Knowledge Base by Search Keywords and WikidataFang Xu- Enriching content with Knowledge Base by Search Keywords and Wikidata
Fang Xu- Enriching content with Knowledge Base by Search Keywords and Wikidata
 
Low-rank matrix approximations in Python by Christian Thurau PyData 2014
Low-rank matrix approximations in Python by Christian Thurau PyData 2014Low-rank matrix approximations in Python by Christian Thurau PyData 2014
Low-rank matrix approximations in Python by Christian Thurau PyData 2014
 
Promoting a Data Driven Culture in a Microservices Environment
Promoting a Data Driven Culture in a Microservices EnvironmentPromoting a Data Driven Culture in a Microservices Environment
Promoting a Data Driven Culture in a Microservices Environment
 
Making your code faster cython and parallel processing in the jupyter notebook
Making your code faster   cython and parallel processing in the jupyter notebookMaking your code faster   cython and parallel processing in the jupyter notebook
Making your code faster cython and parallel processing in the jupyter notebook
 
Large scale-ctr-prediction lessons-learned-florian-hartl
Large scale-ctr-prediction lessons-learned-florian-hartlLarge scale-ctr-prediction lessons-learned-florian-hartl
Large scale-ctr-prediction lessons-learned-florian-hartl
 
GraphGen: Conducting Graph Analytics over Relational Databases
GraphGen: Conducting Graph Analytics over Relational DatabasesGraphGen: Conducting Graph Analytics over Relational Databases
GraphGen: Conducting Graph Analytics over Relational Databases
 
Embracing the Monolith in Small Teams: Doubling down on python to move fast w...
Embracing the Monolith in Small Teams: Doubling down on python to move fast w...Embracing the Monolith in Small Teams: Doubling down on python to move fast w...
Embracing the Monolith in Small Teams: Doubling down on python to move fast w...
 
Bayesian Network Modeling using Python and R
Bayesian Network Modeling using Python and RBayesian Network Modeling using Python and R
Bayesian Network Modeling using Python and R
 
Transfer Learning and Fine-tuning Deep Neural Networks
 Transfer Learning and Fine-tuning Deep Neural Networks Transfer Learning and Fine-tuning Deep Neural Networks
Transfer Learning and Fine-tuning Deep Neural Networks
 
How I learned to time travel, or, data pipelining and scheduling with Airflow
How I learned to time travel, or, data pipelining and scheduling with AirflowHow I learned to time travel, or, data pipelining and scheduling with Airflow
How I learned to time travel, or, data pipelining and scheduling with Airflow
 

Plus de PyData

Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | P...
Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | P...Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | P...
Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | P...PyData
 
Unit testing data with marbles - Jane Stewart Adams, Leif Walsh
Unit testing data with marbles - Jane Stewart Adams, Leif WalshUnit testing data with marbles - Jane Stewart Adams, Leif Walsh
Unit testing data with marbles - Jane Stewart Adams, Leif WalshPyData
 
The TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake Bolewski
The TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake BolewskiThe TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake Bolewski
The TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake BolewskiPyData
 
Using Embeddings to Understand the Variance and Evolution of Data Science... ...
Using Embeddings to Understand the Variance and Evolution of Data Science... ...Using Embeddings to Understand the Variance and Evolution of Data Science... ...
Using Embeddings to Understand the Variance and Evolution of Data Science... ...PyData
 
Deploying Data Science for Distribution of The New York Times - Anne Bauer
Deploying Data Science for Distribution of The New York Times - Anne BauerDeploying Data Science for Distribution of The New York Times - Anne Bauer
Deploying Data Science for Distribution of The New York Times - Anne BauerPyData
 
Graph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
Graph Analytics - From the Whiteboard to Your Toolbox - Sam LermaGraph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
Graph Analytics - From the Whiteboard to Your Toolbox - Sam LermaPyData
 
Do Your Homework! Writing tests for Data Science and Stochastic Code - David ...
Do Your Homework! Writing tests for Data Science and Stochastic Code - David ...Do Your Homework! Writing tests for Data Science and Stochastic Code - David ...
Do Your Homework! Writing tests for Data Science and Stochastic Code - David ...PyData
 
RESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro
RESTful Machine Learning with Flask and TensorFlow Serving - Carlo MazzaferroRESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro
RESTful Machine Learning with Flask and TensorFlow Serving - Carlo MazzaferroPyData
 
Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brod...
Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brod...Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brod...
Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brod...PyData
 
Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott
Avoiding Bad Database Surprises: Simulation and Scalability - Steven LottAvoiding Bad Database Surprises: Simulation and Scalability - Steven Lott
Avoiding Bad Database Surprises: Simulation and Scalability - Steven LottPyData
 
Words in Space - Rebecca Bilbro
Words in Space - Rebecca BilbroWords in Space - Rebecca Bilbro
Words in Space - Rebecca BilbroPyData
 
End-to-End Machine learning pipelines for Python driven organizations - Nick ...
End-to-End Machine learning pipelines for Python driven organizations - Nick ...End-to-End Machine learning pipelines for Python driven organizations - Nick ...
End-to-End Machine learning pipelines for Python driven organizations - Nick ...PyData
 
Pydata beautiful soup - Monica Puerto
Pydata beautiful soup - Monica PuertoPydata beautiful soup - Monica Puerto
Pydata beautiful soup - Monica PuertoPyData
 
1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jef...
1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jef...1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jef...
1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jef...PyData
 
Extending Pandas with Custom Types - Will Ayd
Extending Pandas with Custom Types - Will AydExtending Pandas with Custom Types - Will Ayd
Extending Pandas with Custom Types - Will AydPyData
 
Measuring Model Fairness - Stephen Hoover
Measuring Model Fairness - Stephen HooverMeasuring Model Fairness - Stephen Hoover
Measuring Model Fairness - Stephen HooverPyData
 
What's the Science in Data Science? - Skipper Seabold
What's the Science in Data Science? - Skipper SeaboldWhat's the Science in Data Science? - Skipper Seabold
What's the Science in Data Science? - Skipper SeaboldPyData
 
Applying Statistical Modeling and Machine Learning to Perform Time-Series For...
Applying Statistical Modeling and Machine Learning to Perform Time-Series For...Applying Statistical Modeling and Machine Learning to Perform Time-Series For...
Applying Statistical Modeling and Machine Learning to Perform Time-Series For...PyData
 
Solving very simple substitution ciphers algorithmically - Stephen Enright-Ward
Solving very simple substitution ciphers algorithmically - Stephen Enright-WardSolving very simple substitution ciphers algorithmically - Stephen Enright-Ward
Solving very simple substitution ciphers algorithmically - Stephen Enright-WardPyData
 
The Face of Nanomaterials: Insightful Classification Using Deep Learning - An...
The Face of Nanomaterials: Insightful Classification Using Deep Learning - An...The Face of Nanomaterials: Insightful Classification Using Deep Learning - An...
The Face of Nanomaterials: Insightful Classification Using Deep Learning - An...PyData
 

Plus de PyData (20)

Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | P...
Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | P...Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | P...
Michal Mucha: Build and Deploy an End-to-end Streaming NLP Insight System | P...
 
Unit testing data with marbles - Jane Stewart Adams, Leif Walsh
Unit testing data with marbles - Jane Stewart Adams, Leif WalshUnit testing data with marbles - Jane Stewart Adams, Leif Walsh
Unit testing data with marbles - Jane Stewart Adams, Leif Walsh
 
The TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake Bolewski
The TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake BolewskiThe TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake Bolewski
The TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake Bolewski
 
Using Embeddings to Understand the Variance and Evolution of Data Science... ...
Using Embeddings to Understand the Variance and Evolution of Data Science... ...Using Embeddings to Understand the Variance and Evolution of Data Science... ...
Using Embeddings to Understand the Variance and Evolution of Data Science... ...
 
Deploying Data Science for Distribution of The New York Times - Anne Bauer
Deploying Data Science for Distribution of The New York Times - Anne BauerDeploying Data Science for Distribution of The New York Times - Anne Bauer
Deploying Data Science for Distribution of The New York Times - Anne Bauer
 
Graph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
Graph Analytics - From the Whiteboard to Your Toolbox - Sam LermaGraph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
Graph Analytics - From the Whiteboard to Your Toolbox - Sam Lerma
 
Do Your Homework! Writing tests for Data Science and Stochastic Code - David ...
Do Your Homework! Writing tests for Data Science and Stochastic Code - David ...Do Your Homework! Writing tests for Data Science and Stochastic Code - David ...
Do Your Homework! Writing tests for Data Science and Stochastic Code - David ...
 
RESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro
RESTful Machine Learning with Flask and TensorFlow Serving - Carlo MazzaferroRESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro
RESTful Machine Learning with Flask and TensorFlow Serving - Carlo Mazzaferro
 
Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brod...
Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brod...Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brod...
Mining dockless bikeshare and dockless scootershare trip data - Stefanie Brod...
 
Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott
Avoiding Bad Database Surprises: Simulation and Scalability - Steven LottAvoiding Bad Database Surprises: Simulation and Scalability - Steven Lott
Avoiding Bad Database Surprises: Simulation and Scalability - Steven Lott
 
Words in Space - Rebecca Bilbro
Words in Space - Rebecca BilbroWords in Space - Rebecca Bilbro
Words in Space - Rebecca Bilbro
 
End-to-End Machine learning pipelines for Python driven organizations - Nick ...
End-to-End Machine learning pipelines for Python driven organizations - Nick ...End-to-End Machine learning pipelines for Python driven organizations - Nick ...
End-to-End Machine learning pipelines for Python driven organizations - Nick ...
 
Pydata beautiful soup - Monica Puerto
Pydata beautiful soup - Monica PuertoPydata beautiful soup - Monica Puerto
Pydata beautiful soup - Monica Puerto
 
1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jef...
1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jef...1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jef...
1D Convolutional Neural Networks for Time Series Modeling - Nathan Janos, Jef...
 
Extending Pandas with Custom Types - Will Ayd
Extending Pandas with Custom Types - Will AydExtending Pandas with Custom Types - Will Ayd
Extending Pandas with Custom Types - Will Ayd
 
Measuring Model Fairness - Stephen Hoover
Measuring Model Fairness - Stephen HooverMeasuring Model Fairness - Stephen Hoover
Measuring Model Fairness - Stephen Hoover
 
What's the Science in Data Science? - Skipper Seabold
What's the Science in Data Science? - Skipper SeaboldWhat's the Science in Data Science? - Skipper Seabold
What's the Science in Data Science? - Skipper Seabold
 
Applying Statistical Modeling and Machine Learning to Perform Time-Series For...
Applying Statistical Modeling and Machine Learning to Perform Time-Series For...Applying Statistical Modeling and Machine Learning to Perform Time-Series For...
Applying Statistical Modeling and Machine Learning to Perform Time-Series For...
 
Solving very simple substitution ciphers algorithmically - Stephen Enright-Ward
Solving very simple substitution ciphers algorithmically - Stephen Enright-WardSolving very simple substitution ciphers algorithmically - Stephen Enright-Ward
Solving very simple substitution ciphers algorithmically - Stephen Enright-Ward
 
The Face of Nanomaterials: Insightful Classification Using Deep Learning - An...
The Face of Nanomaterials: Insightful Classification Using Deep Learning - An...The Face of Nanomaterials: Insightful Classification Using Deep Learning - An...
The Face of Nanomaterials: Insightful Classification Using Deep Learning - An...
 

Dernier

ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructuresonikadigital1
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best PracticesDataArchiva
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationGiorgio Carbone
 
Create Data Model & Conduct Visualisation in Power BI Desktop
Create Data Model & Conduct Visualisation in Power BI DesktopCreate Data Model & Conduct Visualisation in Power BI Desktop
Create Data Model & Conduct Visualisation in Power BI DesktopThinkInnovation
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...PrithaVashisht1
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024Becky Burwell
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Vladislav Solodkiy
 
Cyclistic Memberships Data Analysis Project
Cyclistic Memberships Data Analysis ProjectCyclistic Memberships Data Analysis Project
Cyclistic Memberships Data Analysis Projectdanielbell861
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerPavel Šabatka
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxVenkatasubramani13
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptaigil2
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.JasonViviers2
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Guido X Jansen
 

Dernier (13)

ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructure
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - Presentation
 
Create Data Model & Conduct Visualisation in Power BI Desktop
Create Data Model & Conduct Visualisation in Power BI DesktopCreate Data Model & Conduct Visualisation in Power BI Desktop
Create Data Model & Conduct Visualisation in Power BI Desktop
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023
 
Cyclistic Memberships Data Analysis Project
Cyclistic Memberships Data Analysis ProjectCyclistic Memberships Data Analysis Project
Cyclistic Memberships Data Analysis Project
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayer
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptx
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .ppt
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
 

Francesc Alted - Data Oriented Programming