Archivio Gennaio 2019 ordinato per data
Data inizio: Mar 1 Gen 2019 18:57:03 CET
Data fine: Gio 24 Gen 2019 17:45:18 CET
Messaggi: 232
- [Pycon] [new paper] "Vaibhav Srivastava" - Demystifying Natural Language Processing using Python (Scikit-Learn/ Keras)
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- [Pycon] [new paper] "Michelle Brenner" - Serverless App Showdown: How to choose the right cloud provider
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- [Pycon] [new paper] "Miguel Grinberg" - Asynchronous Web Development with Flask
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- [Pycon] [new paper] "Anubha Maneshwar" - Quality:The Best Business Plan
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- [Pycon] [new paper] "Jordi Soucheiron" - Microservices at Scale
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- [Pycon] [new paper] "Marco Bonzanini" - Let the AI Do the Talk: Adventures with Natural Language Generation
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- [Pycon] [new paper] "Harshdeep Singh" - Text Summarisation made fun!
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- [Pycon] [new paper] "Akul Mehra" - Predicting Human Activity using Time Series Analysis
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- [Pycon] [new paper] "Peter Bittner" - Continuous Delivery in the era of Kubernetes and OpenShift
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- [Pycon] [new paper] "Andrew Carter" - Spotting Sharks with the TensorFlow Object Detection API
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- [Pycon] [new paper] "Kendrick Tan" - Escaping the hell of the None type checking
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- [Pycon] [new paper] "Walter Lorenzetti" - G3W-Suite, una suite dedicata alla pubblicazione su web di progetti cartografici e alla loro gestion
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- [Pycon] [new paper] "Joe Drumgoole" - Building Python Applications with MongoDB
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- [Pycon] [new paper] "Ayush Kumar Singh" - Deep learning the Bayesian way. Moving towards safer AI !
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- [Pycon] Partecipa anche tu a PyCon X, la CFP scade a brevissimo!
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- [Pycon] [new paper] "Tilak T" - Securing a Python applications
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- [Pycon] [new paper] "Tilak T" - Adoption of Serverless in Python
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- [Pycon] [new paper] "Tilak T" - Web applications and web services aren’t secure as we think
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- [Pycon] [new paper] "Thomas Bridi" - Hippo: Framework di testing basato su scikit-learn
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- [Pycon] [new paper] "Michael Salib" - Let's predict the weather! Building a real time global rain forecaster.
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- [Pycon] [new paper] "Michael Salib" - Does rain cause traffic delays? Weather and geophysical processing for data scientists.
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- [Pycon] [new paper] "Roberto Polli" - Using OpenAPI (and Python) to standardize a Country's API Ecosystem
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- [Pycon] [new paper] "Chirag Shah" - Understanding Caching in Python
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- [Pycon] [new paper] "Giuseppe Vallarelli" - Python & Serverless: Refactor your monolith piece by piece
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- [Pycon] [new paper] "Iskandar Setiadi" - Python Website is Slow? Think Again!
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- [Pycon] [new paper] "Iskandar Setiadi" - Deep Learning in Python: Image Recognition for Anime Characters
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- [Pycon] [new paper] "Arnav Arora" - NLP researchers on language modelling : What do they know? Do they know things? Let's find out!
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- [Pycon] [new paper] "Claudio Masolo" - Machine learning workflow con Apache Airflow
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- [Pycon] [new paper] "Anders Bogsnes" - A Worked Intro to Scikit-learn
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- [Pycon] [new paper] "Roberto Moscetti" - RECOGNITION OF INLET WET FOOD TO DRYING PROCESS THROUGH A DEEP LEARNING APPROACH
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- [Pycon] [new paper] "Gianluca Carucci" - Chatbot from zero to hero
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- [Pycon] [new paper] "Matteo Zuccon" - Serverless WebSocket con API Gateway e AWS Lambda
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- [Pycon] [new paper] "Francesco Bruni" - Switching from batch ETL to streaming pipelines
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- [Pycon] [new paper] "Alessio Guerrieri" - Please tell me why?! Explaining Machine Learning predictions in Python with Shap
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- [Pycon] [new paper] "Alessio Guerrieri" - Dimmi perchè?! Spiegare modelli Machine Learning in Python con Shap
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- [Pycon] [new paper] "Andrea Benericetti" - Machine learning approaches for road scene video analysis
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- [Pycon] [new paper] "Luca Pappalardo" - Human Mobility Analysis: from the theory to the practice
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- [Pycon] [new paper] "Pietro Brunetti" - Python e Serverless: Cucina istantanea per proprietari di pitoni
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- [Pycon] [new paper] "Pietro Brunetti" - Pacchetti e pacchettini - Un solo modo ovvio?
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- [Pycon] [new paper] "Leonardo Sarti" - Learning to drive with deep neural networks
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- [Pycon] [new paper] "Paolo Melchiorre" - Mappe 🗺️ con GeoDjango 🌎, PostGIS 🐘 e Leaflet 🍃
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- [Pycon] [new paper] "Riccardo Magliocchetti" - TFW when your country is funding Open Source development
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- [Pycon] [new paper] "Elmer Thomas" - From Monolith to Microservices: Design, Build, Deploy, Learn
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- [Pycon] [new paper] "Riccardo Magliocchetti" - Facing Django performance pitfalls
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- [Pycon] [new paper] "Gabriel Bianconi" - Introduction to Face Processing with Computer Vision
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- [Pycon] [new paper] "Marc Garcia" - pandas ecosystem 2019
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- [Pycon] [new paper] "Anuj Menta" - Forecasting and observing Airfare trends using Python and Neural Networks
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- [Pycon] [new paper] "Anuj Menta" - Learning new words in English using Python
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- [Pycon] [new paper] "Fabrizio Romano" - a
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- [Pycon] [new paper] "Lakshmi Boggaram" - Object Oriented Programming in Python
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- [Pycon] [new paper] "Massimiliano Pippi" - Work smarter, not harder: task automation with Pyinvoke
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- [Pycon] [new paper] "Alex Casalboni" - Configuration management and service discovery in a serverless world
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- [Pycon] [new paper] "Francesco Farina" - Learning from Constraints: a Distributed and Privacy-Preserving Approach
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- [Pycon] [new paper] "Alex Casalboni" - Porting your Python web app to serverless in 30 minutes
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- [Pycon] [new paper] "Massimiliano Pippi" - Advanced test patterns with pytest
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- [Pycon] [new paper] "Alex Casalboni" - Choosing the right (managed) database in 2019
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- [Pycon] [new paper] "Francesco Farina" - Learning from Constraints: un Appoccio Distribuito e Privacy-Preserving
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- [Pycon] [new paper] "Nikolay Vasiliev" - How Far Can You Stretch Your Elasticsearch?
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- [Pycon] [new paper] "Giulio Giorgio" - The matchmaking system in Hearthstone: how to simulate it with Python
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- [Pycon] [new paper] "Giulio Giorgio" - ll matchmaking in Hearthstone: come simularlo in Python
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- [Pycon] [new paper] "Giuseppe Vallarelli" - Python & Serverless: Refactor your monolith piece by piece (Ita)
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- [Pycon] [new paper] "Michele De Simoni" - AbracaGAN: introduction to the almost magical world of GANs
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- [Pycon] [new paper] "Breno Freitas" - Modern gold mining: leveraging Machine Learning to predict GMV at Shopify
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- [Pycon] [new paper] "Daniel Ajisafe" - Doing data science in the real world- Not the usual fairy tale !
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- [Pycon] [new paper] "Daniel Ajisafe" - Introduction to deep learning for computer vision
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- [Pycon] [new paper] "Aakriti Jain" - Text Extraction from PDFs made Easy
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- [Pycon] [new paper] "Martin Ruskov" - Looking through the window of the Azerbaijani Laundromat
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- [Pycon] [new paper] "Paolo Ferretti" - Deploy immutabili con Docker e infrastructure as code
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- [Pycon] [new paper] "Paolo Ferretti" - Custom design patterns per lavorare meglio in team
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- [Pycon] [new paper] "Gabriele Giaccari" - #STOPCODING. Alziamo le mani dalla tastiera e iniziamo a capire e risolvere i problemi!
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- [Pycon] [new paper] "Raffaele Colace" - È facile gestire un progetto Django se sai come farlo!
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- [Pycon] [new paper] "Anton Caceres" - Communicating Between Microservices
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- [Pycon] [new paper] "Pietro Mascolo" - A primer on manifold dimensionality reduction techniques
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- [Pycon] [new paper] "Pietro Mascolo" - Developing a Data Strategy in a start-up environment
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- [Pycon] [new paper] "Pietro Mascolo" - Sviluppare una data strategy in una start-up
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- [Pycon] [new paper] "Vinayak Mehta" - Extracting tabular data from PDFs with Camelot & Excalibur
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- [Pycon] [new paper] "Prakhar Srivastava" - Generative models - Building algorithms capable of imagination
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- [Pycon] [new paper] "Marcin Gębala" - Real world Graphene - lessons learned from building a GraphQL API on top of a large Django project
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- [Pycon] [new paper] "Prakhar Srivastava" - How to learn the world in Keras
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- [Pycon] [new paper] "Harshdeep Singh" - Dummies guide to Spark (using Python)!
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- [Pycon] [new paper] "Leonardo Giordani" - TDD in Python with pytest
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- [Pycon] [new paper] "Leonardo Giordani" - TDD in Python con pytest
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- [Pycon] [new paper] "Leonardo Giordani" - REFACTORING CON I TEST IN PYTHON: UN ESEMPIO PRATICO
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- [Pycon] [new paper] "Leonardo Giordani" - REFACTORING WITH TESTS IN PYTHON: A PRACTICAL EXAMPLE
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- [Pycon] [new paper] "Leonardo Giordani" - CLEAN ARCHITECTURES IN PYTHON: WHY, WHAT, HOW
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- [Pycon] [new paper] "Leonardo Giordani" - CLEAN ARCHITECTURES IN PYTHON: PERCHÉ, COSA, COME
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- [Pycon] [new paper] "Leonardo Giordani" - Dive into Object-oriented Python
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- [Pycon] [new paper] "Leonardo Giordani" - Dive into Object-oriented Python
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- [Pycon] [new paper] "Leonardo Giordani" - Dive into Object-oriented Python
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- [Pycon] [new paper] "Andrei Neagu" - Sharing is Caring! - how to free the CPU from message passing hell - shared memory saved the day
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- [Pycon] [new paper] "Bryce Verdier" - Using Vault to better protect your secrets.
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- [Pycon] [new paper] "Luciano Ramalho" - Beyond Paradigms: key features for better Python
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- [Pycon] [new paper] "Luciano Ramalho" - Set Practice: learning from Python's set types
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- [Pycon] [new paper] "Luciano Ramalho" - Pythonic Objects: idiomatic OOP in Python
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- [Pycon] [new paper] "Sandeep Saurabh" - Probabilistic Programming and Bayesian Deep Learning
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- [Pycon] [new paper] "Rupa Dachere" - Python and Fish Curry
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- [Pycon] [new paper] "Jayesh Katta Ramalingaiah" - Building Python Modules using @rustlang
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- [Pycon] [new paper] "Lorenzo Mele" - Usa lo Zen, Luke!
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- [Pycon] [new paper] "Lorenzo Mele" - Use the Zen, Luke!
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- [Pycon] [new paper] "Lorenzo Mele" - Let's bring a piece of code on the cloud
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- [Pycon] [new paper] "Lorenzo Mele" - Portiamo un pezzo di codice sul Cloud
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- [Pycon] [new paper] "Ahmad Alhour" - What Football Captains and Tribal Chieftans Can Teach Us About Leading Geeks
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- [Pycon] [new paper] "Ivan Pashchenko" - Say No to the Dependency Hell: Proper Management of Software Dependencies
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- [Pycon] [new paper] "Gianfranco Castro" - Web Automation con Selenium Web Driver: browser automation per i nostri progetti web
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- [Pycon] [new paper] "Joaquim Borges" - GoalSurvival - using Python to scrape football scoring events and to perform survival analysis
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- [Pycon] [new paper] "Niklas Meinzer" - A Tour of the Python Standard Libaray
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- [Pycon] [new paper] "Gianfranco Castro" - Creare una Dashboard con Flask e Vue.js
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- [Pycon] [new paper] "Francesco Bruni" - Geospatial analysis with Python
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- [Pycon] [new paper] "Antonio Cuni" - How to write a JIT compiler in 30 minutes
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- [Pycon] [new paper] "Alberto Anceschi" - Sviluppare per Alexa in Python
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- [Pycon] [new paper] "Pietro Brunetti" - Boxes and packets - only one obvious way to do them?
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- [Pycon] [new paper] "Akash Tandon" - Kubeflow: portable and scalable machine learning on top of Kubernetes
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- [Pycon] [new paper] "Pietro Brunetti" - Python and Serverless - instant cooking for snakes owners
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- [Pycon] [new paper] "Susam Pal" - An Introduction to Meta-Development Tasks for Releasing Open Source Python Packages
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- [Pycon] [new paper] "Roberto Polli" - Using OpenAPI (and Python) to standardize a Country's API Ecosystem
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- [Pycon] [new paper] "Akash Tandon" - Traversing the land of graph computing and databases
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- [Pycon] [new paper] "Gianluca Romanin" - Being Pragmatic
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- [Pycon] [new paper] "Sunaina Pai" - Mastering Mock Object Library to Write Better Unit Tests
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- [Pycon] [new paper] "Aashi Narula" - Python to transform businesses and lives
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- [Pycon] [new paper] "Jiaqi Liu" - Building a Data Pipeline with Observability in Mind
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- [Pycon] [new paper] "Alexander Hendorf" - Deep Learning with PyTorch for Fun and Profit (Part III / Italian Edition: Divina Commedia)
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- [Pycon] [new paper] "Shubham Goel" - Building footprint extraction using semantic segmentation
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- [Pycon] [new paper] "Hrvoje Gazibara" - Building world-class data processing pipelines using Apache Airflow
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- [Pycon] [new paper] "Christian Strappazzon" - Immagino: un racconto di serverless e codeless (più o meno).
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- [Pycon] [new paper] "Shreya Khurana" - Bayesian Modeling with PyMC3: An ecological application
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- [Pycon] [new paper] "Hrvoje Gazibara" - Importing anything from anywhere
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- [Pycon] [new paper] "Giuliano Armano" - Diagrammi phi-delta: implementazione di un tool visivo per sistemi di Machine Learning
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- [Pycon] [new paper] "Tania Allard" - Good code documents itself and other lies
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- [Pycon] [new paper] "Tania Allard" - What is your Machine learning test score?
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- [Pycon] [new paper] "Michele De Simoni" - Deep Diving into GANs: form theory to production
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- [Pycon] [new paper] "Michele De Simoni" - TensorFlow 2.0: the Good and the Bad
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- [Pycon] [new paper] "Giovanni Cannata" - DevOps - La rivoluzione industriale nell'era dell'informazione
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- [Pycon] [new paper] "Diego Russo" - Python on IoT devices thanks to Mbed Linux OS
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- [Pycon] [new paper] "Amit Kushwaha" - Security and Privacy in Machine Learning: Adversarial machine learning
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- [Pycon] [new paper] "Marvin Bensch" - Analyzing geospatial data using geopandas
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- [Pycon] [new paper] "Felipe Cabral" - Using Python to create political acts
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- [Pycon] [new paper] "Roberto Pancaldi" - Sviluppo di interfacce grafiche con wxPython
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- [Pycon] [new paper] "Alessandro Amici" - Meet dask and distributed: the unsung heroes of Python scientific data ecosystem.
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- [Pycon] [new paper] "Daniele Procida" - But I never wanted to do DevOps!
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- [Pycon] [new paper] "Daniele Procida" - Documentation in practice
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- [Pycon] [new paper] "Suryansh Tibarewal" - Developing for Voice User Interfaces
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- [Pycon] [new paper] "Suryansh Tibarewal" - How to write 15 tests in 15 minutes
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- [Pycon] [new paper] "Sandeep Saurabh" - Image Classification using Deep Learning (Capsule Networks)
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- [Pycon] [new paper] "Daniele Procida" - The world's simplest, cheapest plotter
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- [Pycon] [new paper] "Suryansh Tibarewal" - MVP, is never just a MVP
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- [Pycon] [new paper] "Kajal Puri" - Build text classification models ( CBOW and Skip-gram) with FastText in python
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- [Pycon] [new paper] "Alessandro Amici" - How to help an international organisation transitioning to Python.
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- [Pycon] [new paper] "Marco Santamaria" - Pipenv per la gestione delle dipendenze negli ambienti di sviluppo e di produzione
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- [Pycon] [new paper] "Kajal Puri" - Object detection and Human recognition with YOLO in Python
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- [Pycon] [new paper] "Alexandr Honchar" - Deep learning: the final frontier for time series analysis and signal processing?
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- [Pycon] [new paper] "Vedika Agarwal" - Towards Interpretable Visual Question Answering via Compositional Reasoning
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- [Pycon] Non hai mandato la tua proposta? C'è ancora tempo!
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- [Pycon] [new paper] "Tariro Chagwiza" - Python in Computer Vision
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- [Pycon] [new paper] "Tariq Rashid" - A Plain English Overview of Text Mining Techniques
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- [Pycon] [new paper] "Tariq Rashid" - Creative Coding with Python and P5js
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- [Pycon] [new paper] "Trapsilo Bumi" - Modern Tech meets Traditional Music: Assisting Angklung Rehearsals with Python
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- [Pycon] [new paper] "CRISTIANO BOROTTO" - Mr.AUTOCLICK
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- [Pycon] [new paper] "Prabh Simran Baweja" - The Future of Chatbots in the Travel Industry
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- [Pycon] [new paper] "Yan Orestes" - Understanding how a malware works using Python
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- [Pycon] [new paper] "Yan Orestes" - Converting your last Python 2 program to Python 3 - The Why and How
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- [Pycon] [new paper] "Mario Orlandi" - Internet delle cose con Redis e django-channels
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- [Pycon] [new paper] "Jorge Luis Galvis Quintero" - Going Serverless with Python
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- [Pycon] [new paper] "Alexander Ivanov" - Py2Nim: compiling Python to idiomatic code in statically typed languages
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- [Pycon] [new paper] "Mirko Bonasorte" - Bitcoin 101 con Python
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- [Pycon] [new paper] "Fiorella De Luca" - Scrivere i primi test frontend con python? Si Può!
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- [Pycon] [new paper] "Alan Franzoni" - Apprendimento permanente e futuro dell'istruzione superiore: il caso OMSCS
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- [Pycon] [new paper] "Chetan Chauhan" - Using PuLP for Optimizing Train Scheduling for Indian Railways
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- [Pycon] [new paper] "Pacham Pacham Sri Srinivasan" - Association Rules Mining Using Python Generators and Pandas to Handle Large Datasets
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- [Pycon] [new paper] "Mario Orlandi" - Editing di Django models nel front-end
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- [Pycon] [new paper] "Valentino Gagliardi" - Decoupling Django with Django REST (and a sprinkle of React)
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- [Pycon] [new paper] "Avneet Kaur" - Demystifying Network Science with Python
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- [Pycon] [new paper] "Marco Muratore" - Applicazioni veloci per desktop - Tabelle/Maschere/Tab/Estrazioni in pochi click
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- [Pycon] [new paper] "Nicolas Pierre" - What the *** happened to this car??
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- [Pycon] [new paper] "Stefan Behnel" - Get started with asyncio and Tornado web services
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- [Pycon] [new paper] "Stefan Behnel" - Tornado web services on asnycio
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- [Pycon] [new paper] "Pietro Marchesi" - Using Python and machine learning to detect the replay of memories in the hippocampus
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- [Pycon] [new paper] "Jonas Obrist" - Artisanal Async Adventures
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- [Pycon] [new paper] "Cat Lamin" - Stereotypes, Role Models & Learning to Code
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- [Pycon] [new paper] "Cat Lamin" - You don't have to be mad to work here, but it helps
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- [Pycon] [new paper] "Cat Lamin" - Why should kids learn to code and how can we help?
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- [Pycon] [new paper] "Giordano Mancini" - One formula, many molecules: using metaheuristics and Python to analyze chemical data.
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- [Pycon] [new paper] "Simone Gasbarroni" - Celery pseudoservices
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- [Pycon] [new paper] "Walter Danilo Galante" - Python and MongoDB with Ming
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- [Pycon] [new paper] "Walter Danilo Galante" - Python e MongoDB con Ming
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- [Pycon] [new paper] "Diego Martin" - Less Python in PySpark: Techniques to reduce UDF usage
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- [Pycon] [new paper] "Simone Marzola" - concurrent.futures.RpcExecutor: modern python rpc protocol
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- [Pycon] [new paper] "Omar Rampado" - CalcoloGrafia: riconoscimento ed esecuzione di calcoli scritti a mano
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- [Pycon] [new paper] "Giordano Mancini" - Una formula, molte molecole: usare Python e metodi metaeuristici per determinare proprietà molecolar
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- [Pycon] [new paper] "Jennifer Seale" - Multi-modal classification in PyTorch
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- [Pycon] [new paper] "Karishma Babbar" - Do more with Twitter data: Understanding the people behind the Tweet
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- [Pycon] [new paper] "Luca Antiga" - RedisAI
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- [Pycon] [new paper] "Toshiya Doi" - Share Python libraries between AWS Lambda Functions and AWS Lambda Layers and continuously deploy wi
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- [Pycon] [new paper] "Francesco Porcari" - Trasformiamo i nostri dati in un applicativo con Genropy
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- [Pycon] [new paper] "Alessandro Re" - PyTorch from the ground up
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- [Pycon] [new paper] "Alessandro Re" - Architectures for the real world: retina U-nets, prototypical networks and VA-GANs in PyTorch
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- [Pycon] [new paper] "Francesco Porcari" - Genropy e lo storage di file in cloud
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- [Pycon] [new paper] "Davide Corio" - Costruire un sito e-commerce con Odoo
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- [Pycon] [new paper] "Davide Corio" - How to build and e-commerce website with Odoo
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- [Pycon] [new paper] "Francesco Porcari" - Ticket e task in Erpy
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- [Pycon] [new paper] "Francesco Porcari" - Ticket e task in Erpy
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- [Pycon] [new paper] "Giovanni Porcari" - La fatturazione elettronica con Erpy.
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- [Pycon] [new paper] "Fabio Falzoi" - Python and Elasticsearch: An introduction
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- [Pycon] [new paper] "Fabio Falzoi" - An insight into Python Garbage Collection
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- [Pycon] [new paper] "Pietro Battiston" - Data analysis in Python - come in, don't get lost
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- [Pycon] [new paper] "Pietro Battiston" - Analisi di dati in Python - hai bisogno di una cartina?
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- [Pycon] [new paper] "Pietro Battiston" - Non ti servono n dimensioni quando hai pandas
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- [Pycon] [new paper] "Pietro Battiston" - You don't need n dimensions when you have pandas
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- [Pycon] [new paper] "Diego Mazzanti" - Introduzione a Pyramid Web Framework
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- [Pycon] [new paper] "Alisha Aneja" - What's trending this month?
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- [Pycon] [new paper] "Stefano Terna" - A Multi-Patient Data Driven Approach to Blood Glucose Prediction
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- [Pycon] [new paper] "Alisha Aneja" - Thinking functionally: Introduction to FP in Python
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- [Pycon] [new paper] "AAKANKSHA CHOUHAN" - Hearing Colours and Seeing Sounds using Python
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- [Pycon] [new paper] "Marco Pavanelli" - Serverless or Containers?: two options to run python code in the cloud.
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- [Pycon] [new paper] "Cheuk Ho" - AI and algorithmic art
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- [Pycon] [new paper] "Marco Carlessi" - La sicurezza dei database MySQL (con speciale attenzione alla GDPR)
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- [Pycon] [new paper] "Marco Carlessi" - Security for MySQL database (and GDPR)
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- [Pycon] [new paper] "Marco Carlessi" - MySQL e le architetture a micro servizi
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- [Pycon] [new paper] "Marco Carlessi" - MySQL and micro service architectures
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- [Pycon] [new paper] "Rachel Konichiwakitty" - Engineering Fashion Technology and Human Organs: Interdisciplinary making for better wellbeing
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- [Pycon] [new paper] "Marco Nenciarini" - PostgreSQL on the kube
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- [Pycon] [new paper] "Christian Barra" - Growing vegetables with Python
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- [Pycon] [new paper] "Justin Mayer" - Protecting Privacy and Security — For Yourself and Your Community
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- [Pycon] [new paper] "Christian Barra" - Levers to deliver great solutions
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- [Pycon] [new paper] "Davide Setti" - Service discovery
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- [Pycon] [new paper] "Christian Barra" - Let’s talk about MLOps
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- [Pycon] [new paper] "Christian Barra" - Kubernetes 101 for Python Developer
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- [Pycon] [new paper] "Martino Pizzol" - Analizzare Django con i raggi X
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- [Pycon] [new paper] "David Santucci" - How to build a pizza-bot and chat with him to order your custom Capricciosa
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- [Pycon] [new paper] "Cesare Di Mauro" - Ternary CPUs: how they work and how Python helps designing one
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- [Pycon] [new paper] "Giuseppe Di Bernardo" - Deep Learning for brain MRI segmentation: Big Data, AI and HPC meet together
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- [Pycon] [new paper] "David Santucci" - Deepfake: usare il deep learning per sostituire i volti
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- [Pycon] CFP chiuso e community voting
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Data dell'ultimo messaggio:
Gio 24 Gen 2019 17:45:18 CET
Archiviato il: Gio 24 Gen 2019 17:45:19 CET
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