About Us

The Italian Python event for Pythonistas and Data Geeks.

PyData Logo

PyData

PyData website is a gathering of users and developers of data analysis tools in Python.
A major goal of the conference is to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques, as well as highlight the most triumphs and potential pitfalls of using Python for certain kinds of problems.
Visit PyData website or search for #pydata at Twitter to find out more and to see the many upcoming PyData events all over the world.

PyCon Otto Logo

PyData Florence @ PyCon Otto

Following up from the success of the last years, PyData Italy will be held again in Florence, and again during PyCon Otto the eighth edition of the PyCon Italia Conference. PyData Florence will provide a meeting place where data scientists and engineers could join efforts, aiming at establishing a strong Italian PyData community.
Subscribe to the PyData Italy
Slack Channel to get in touch during the conference and to get updates on PyData Italy future events and meetups!

NumFocus Logo

NumFOCUS

The PyData conference series is organized and supported by NumFOCUS, a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific software. The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research.
We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source data science projects. We aim to increase collaboration and communication within the scientific computing community.
NumFOCUS website

Conference

The PyData Community

PyData Conference Mission


PyData is a gathering of users and developers of data analysis tools in Python. The conference aims at providing Python enthusiasts a place to share ideas and learn from each other about how best to apply our language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization.

Read the full mission statement

When & Where


PyData Florence 2017 is going to be a three-days event (April, 7-9 2017), held in conjunction with PyCon Otto the eight edition of the Italian Python Conference. The conference venue is located nearby the old city centre of Florence, at the Grand Hotel Mediterraneo   (Lungarno del Tempio, 44 - not far from the beautiful Piazza Santa Croce).
For more information on how to reach Florence, please check out the this page



Registration


The registration to PyData Florence 2017 will be managed directly by the PyCon Otto team. Purchasing a ticket to PyData Florence 2017, you will be granted for the whole PyCon Otto conference, and related events. The price of the ticket include Lunch & Coffee Breaks, Free Wi-Fi, access to the recruiting session, T-shirts, gadgets and prizes.
Check out the Registration page and book your ticket!


If you want to know how fantastic were previous editions, check out the following URLs:


Joining the Online PyData Italian Community


Subscribe to the PyData Italy Slack Channel to get in touch during the conference and to get updates on PyData Italy future events and meetups!

To date, there are many PyData groups spread all over the world. Some tips for getting involved with the community are to sign up for an account to contribute blog posts, submit talks, or volunteer for the next organizing committee for an upcoming conference. This website and the website at pydata.org is a resource for our community.

Schedule

We are still working on our amazing schedule !
But we do know the dates :D

Day 1: Friday, 7th April 2017

PyDataPyDataTrainingOnePyDataTrainingTwo
08:00Registration
08:45Apertura / Opening
09:00๐Ÿ‡ฌโ€๐Ÿ‡ง Alex Martelli
Testing in Layers
10:00๐Ÿ‡ฌโ€๐Ÿ‡ง Valeria Pettorino
Using Python in Cosmology: the dark universe and the cosmic microwave background.
10:45Coffee Break
11:15๐Ÿ‡ฌโ€๐Ÿ‡ง Giuseppe Jurman
Basic principles of scientific data visualization
12:00๐Ÿ‡ฌโ€๐Ÿ‡ง Valerio Maggio
The unconventional Introduction to Deep Learning
12:45๐Ÿ‡ฌโ€๐Ÿ‡ง Francesco Bruni
Sparking Pandas: an experiment
13:15Lunch
14:30๐Ÿ‡ฌโ€๐Ÿ‡ง Andrea Gigli
Let the music play! Recommendation Systems in Banking
๐Ÿ‡ฌโ€๐Ÿ‡ง Marco Bonzanini
Intro to Natural Language Processing in Python
๐Ÿ‡ฌโ€๐Ÿ‡ง Pietro Battiston
Quando il saggio indica il cielo, pandas guarda l'indice
15:15๐Ÿ‡ฌโ€๐Ÿ‡ง Moritz Lotze
Catching Neutrinos with Python and KM3NeT
16:00๐Ÿ‡ฌโ€๐Ÿ‡ง Andrea Cappelli,Roberto Turrin
How to turn Wikipedia into a Quiz Game
16:30Coffee Break
17:00๐Ÿ‡ฌโ€๐Ÿ‡ง Gianni Barlacchi
Where are you going? An overview on machine learning models for human mobility
๐Ÿ‡ฌโ€๐Ÿ‡ง Marco Bonzanini
Intro to Natural Language Processing in Python
๐Ÿ‡ฌโ€๐Ÿ‡ง Pietro Battiston
Quando il saggio indica il cielo, pandas guarda l'indice
15:15
18:00๐Ÿ‡ฌโ€๐Ÿ‡ง Tariq Rashid
A Gentle Introduction to Neural Networks (with Python)
19:00Register.it Tech-Cocktail
21:00PyBirra

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Day 2: Saturday, 8th April 2017

PyDataPyDataTwoPyDataTraining
08:00Registration
09:00๐Ÿ‡ฌโ€๐Ÿ‡ง Alexandre Savio
Nipy on functional brain MRI
๐Ÿ‡ฌโ€๐Ÿ‡ง Pietro Battiston
How to use pandas the wrong way
๐Ÿ‡ฌโ€๐Ÿ‡ง Matteo Barbieri
Supervised learning in high dimensional data: from zero to โ„ต-0
09:45๐Ÿ‡ฌโ€๐Ÿ‡ง Marco Bonzanini
Word Embeddings for Natural Language Processing in Python
๐Ÿ‡ฎโ€๐Ÿ‡น Felice Tuosto,Andrea Ianni
Word Embedding: come codificare il linguaggio naturale per algoritmi di previsione e classificazione
10:30Coffee BreakCoffee BreakCoffee Break
11:00๐Ÿ‡ฌโ€๐Ÿ‡ง Alicia Carr
Is it too late to learn how to program and how being a developer change my life
๐Ÿ‡ฌโ€๐Ÿ‡ง Matteo Barbieri
Supervised learning in high dimensional data: from zero to โ„ต-0
11:45๐Ÿ‡ฌโ€๐Ÿ‡ง Anna Ravenscroft
Overcoming Cognitive Bias
12:30Recruiting session
13:15Lunch
14:30๐Ÿ‡ฎโ€๐Ÿ‡น Antonio Spadaro
AI, Machine Learning e Deep Learning: cosa cambia?
๐Ÿ‡ฎโ€๐Ÿ‡น Felice Tuosto
Machine Learning con Python: algoritmi NILM e real-time processing
๐Ÿ‡ฌโ€๐Ÿ‡ง Valerio Maggio
Deep Learning, the Keras way
15:15๐Ÿ‡ฌโ€๐Ÿ‡ง Alexander Hendorf
Introduction to Data-Analysis with Pandas
๐Ÿ‡ฎโ€๐Ÿ‡น Alberto Pettarin
Il Viaggio di aeneas: Un'Avventura Con Python Tra Testo e Parlato
16:15Coffee Break
16:45๐Ÿ‡ฌโ€๐Ÿ‡ง Christian Barra
Jupyter: if you don't use it yet you're doing wrong
๐Ÿ‡ฎโ€๐Ÿ‡น Alessandro Amici
Affrontare le sfide del cambiamento climatico con Python
๐Ÿ‡ฌโ€๐Ÿ‡ง Valerio Maggio
Deep Learning, the Keras way
17:30๐Ÿ‡ฎโ€๐Ÿ‡น Felice Tuosto
Machine Learning con Python: previsione in real-time della richiesta di energia elettrica
๐Ÿ‡ฎโ€๐Ÿ‡น Davide Brunato
Validazione e decodifica di file XML con Python
18:30Chilling time
21:00Networking & PyFiorentina

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Day 3: Sunday, 9th April 2017

PyData
08:00Registration
09:00๐Ÿ‡ฎโ€๐Ÿ‡น Riccardo Magliocchetti
Dai dati alla visualizzazione: la mia prima data pipeline
09:45๐Ÿ‡ฌโ€๐Ÿ‡ง Alex Casalboni
Facial Analysis Techniques for Pythonista (and beyond!)
10:30Coffee Break
11:00๐Ÿ‡ฌโ€๐Ÿ‡ง Darya Chyzhyk
Explore the brain with Nilearn
11:30๐Ÿ‡ฌโ€๐Ÿ‡ง Andrรฉ Panisson
Tensor decomposition with Python: Learning structures from multidimensional data
12:15๐Ÿ‡ฌโ€๐Ÿ‡ง Giuseppe Jurman
Differential network analysis and graph classification: a glocal approach
13:00Lunch
14:30Farewell and thanks for all the python!

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