Please check the direct links to the feedback form for each talk!
Rate and provide us your feedback to help us running a better conference, and to help the speaker improve.
Ravioli vs Pelmeni software architecture (microservices vs services) by Anastasiia Tymoshchuk: https://python.it/feedback-1515
TemPy! Una alternativa al templating tradizionale usando solo Python by Federico Cerchiari: https://python.it/feedback-1516
Basta problemi con tensorflow usando Docker & Nvidia Docker by Nicola Landro:
https://python.it/feedback-1528
Good features beat algorithms by Pietro Mascolo:
https://python.it/feedback-1529
Python Standard Library, the hidden gems by Alessandro Molina:
https://python.it/feedback-1532
Uno sguardo alle Dataclasses: quando una namedtuple non basta by Alessandro Cucci:
https://python.it/feedback-1534
Python e MySQL 8.0 Document Store by Frédéric Descamps:
https://python.it/feedback-1544
Algoritmo di Routing Multi-Obiettivo di Veicoli Elettrici con vincoli di ricarica lungo il percorso by Alessandro Betti:
https://python.it/feedback-1552
Playing with Data by using of Python, Pandas by Abhijeet Mote:
https://python.it/feedback-1553
Machine Learning for Inventory Management by Laura De Stefanis:
https://python.it/feedback-1554
Darkweb + Python: discover, analyze and extract information from hidden services by Jose Manuel Ortega:
https://python.it/feedback-1563
Building a Celery alternative in Django on Kubernetes by Alec Clowes:
https://python.it/feedback-1568
Let the AI Do the Talk: Adventures with Natural Language Generation by Marco Bonzanini:
https://python.it/feedback-1574
Predicting Human Activity using Time Series Analysis by Akul Mehra:
https://python.it/feedback-1576
Python & Serverless: Refactor your monolith piece by piece by Giuseppe Vallarelli:
https://python.it/feedback-1591
Python Website is Slow? Think Again! by Iskandar Setiadi:
https://python.it/feedback-1592
A Worked Intro to Scikit-learn by Anders Bogsnes:
https://python.it/feedback-1596
Please tell me why?! Explaining Machine Learning predictions in Python with Shap by Alessio Guerrieri:
https://python.it/feedback-1601
Machine learning approaches for road scene video analysis by Andrea Benericetti:
[https://python.it/feedback-1603]
(https://python.it/feedback-1603)
Human Mobility Analysis: from the theory to the practice by Luca Pappalardo, Gianni Barlacchi:
https://python.it/feedback-1604
Mappe 🗺️ con GeoDjango 🌎, PostGIS 🐘 e Leaflet 🍃 by Paolo Melchiorre, Carmelo Catalfamo:
https://python.it/feedback-1608
Quando la tua applicazione Django non va abbastanza veloce by Riccardo Magliocchetti:
https://python.it/feedback-1611
Pandas ecosystem 2019 by Marc Garcia:
https://python.it/feedback-1613
Porting your Python web app to serverless in 30 minutes by Alex Casalboni:
https://python.it/feedback-1620
Text Extraction from PDFs made Easy by Aakriti Jain:
https://python.it/feedback-1632
Communicating Between Microservices by Anton Caceres:
https://python.it/feedback-1638
Real world Graphene - lessons learned from building a GraphQL API on top of a large Django project by Marcin Gębala:
https://python.it/feedback-1644
TDD in Python with pytest by Leonardo Giordani:
https://python.it/feedback-1647
Sharing is Caring! - how to free the CPU from message passing hell - shared memory saved the day by Andrei Neagu:
https://python.it/feedback-1656
Using Vault to better protect your secrets. by Bryce Verdier:
https://python.it/feedback-1657
Usa lo Zen, Luke! by Lorenzo Mele:
https://python.it/feedback-1664
How to Become a Kickass Team Leader by Ahmad Alhour:
https://python.it/feedback-1668
Creare una Dashboard con Flask e Vue.js by Gianfranco Castro:
https://python.it/feedback-1673
Geospatial analysis with Python by Francesco Bruni:
https://python.it/feedback-1674
How to write a JIT compiler in 30 minutes by Antonio Cuni:
https://python.it/feedback-1675
Sviluppare per Alexa in Python by Alberto Anceschi, Nicolò Gasparini:
https://python.it/feedback-1676
Using OpenAPI (and Python) to standardize a Country's API Ecosystem by Roberto Polli:
https://python.it/feedback-1681
Traversing the land of graph computing and databases by Akash Tandon:
https://python.it/feedback-1682
Deep Learning with PyTorch for Fun and Profit (Part III / Italian Edition: Divina Commedia) by Alexander Hendorf:
https://python.it/feedback-1687
Immagino: un racconto di serverless e codeless (più o meno). by Christian Strappazzon:
https://python.it/feedback-1690
Good code documents itself and other lies by Tania Allard:
https://python.it/feedback-1694
Deep Diving into GANs: from theory to production by Michele De Simoni, Paolo Galeone, Federico Di Mattia, Emanuele Ghelfi:
https://python.it/feedback-1696
Defence Against the Dark Arts: Adversarial ML by Amit Kushwaha:
https://python.it/feedback-1700
Using Python to create political acts by Felipe Cabral:
https://python.it/feedback-1702
Meet dask and distributed: the unsung heroes of Python scientific data ecosystem. by Alessandro Amici:
https://python.it/feedback-1704
But I never wanted to do DevOps! by Daniele Procida:
https://python.it/feedback-1705
Pipenv per la gestione delle dipendenze negli ambienti di sviluppo e di produzione by Marco Santamaria:
https://python.it/feedback-1714
Deep learning: the final frontier for time series analysis and signal processing? by Alexandr Honchar:
https://python.it/feedback-1716
Internet delle cose con Redis e django-channels by Mario Orlandi:
https://python.it/feedback-1726
Scrivere i primi test frontend con python? Si Può! by Fiorella De Luca:
https://python.it/feedback-1730
Decoupling Django with Django REST (and a sprinkle of React) by Valentino Gagliardi:
https://python.it/feedback-1735
Demystifying Network Science with Python by Avneet Kaur:
https://python.it/feedback-1736
Multi-modal classification with PyTorch by Jennifer Seale:
https://python.it/feedback-1754
RedisAI by Luca Antiga:
https://python.it/feedback-1756
PyTorch from the ground up by Alessandro Re:
https://python.it/feedback-1759
Genropy e lo storage di file in cloud by Francesco Porcari:
https://python.it/feedback-1761
Costruire un sito e-commerce con Odoo by Davide Corio:
https://python.it/feedback-1762
An insight into Python Garbage Collection by Fabio Falzoi:
https://python.it/feedback-1767
You don't need n dimensions when you have pandas by Pietro Battiston:
https://python.it/feedback-1771
Thinking functionally: Introduction to FP in Python by Alisha Aneja:
https://python.it/feedback-1775
Hearing Colours and Seeing Sounds using Python by Aakanksha Chouhan:
https://python.it/feedback-1776
AI and algorithmic art by Cheuk Ho:
https://python.it/feedback-1778
PostgreSQL on the kube by Marco Nenciarini:
https://python.it/feedback-1784
Growing vegetables with Python by Christian Barra:
https://python.it/feedback-1785
Service discovery by Davide Setti:
https://python.it/feedback-1788
Ternary CPUs: how they work and how Python helps designing one by Cesare Di Mauro:
https://python.it/feedback-1793
Deep Learning for brain MRI segmentation: Big Data, AI and HPC meet together by Giuseppe Di Bernardo:
https://python.it/feedback-1794
In Codice Ratio: Machine Transcription in the Vatican Secret Archive by Elena Nieddu:
https://python.it/feedback-1797
Django Girls: Una community tutta da scoprire by Fiorella De Luca:
https://python.it/feedback-1798
The Secret Society of Happiness by Sasha Romijn:
https://python.it/feedback-1799
From Science with (Data) Love: make others love data the way you do by Paula Gonzales:
https://python.it/feedback-1800
Subwoofler: Create Your Own Musical Instrument by Anna Wszeborowska:
https://python.it/feedback-1801
White Mars: living far away from any form of life by Marco Buttu:
https://python.it/feedback-1802
Why you should pursue public speaking and how to get there by Yenny Cheung:
https://python.it/feedback-1803
High Performance And Scalability Made Easy For Data-Analytics/Machine-Learning Codes by Frank Schlimbach:
https://python.it/feedback-1805
Artisanal Async Adventures by Jonas Obrist:
https://python.it/feedback-1742
Serverless Computing Con Python E Aws - Endgame Edition by Federico Caboni:
https://python.it/feedback-1806
Orobix: AI Gets To Work! by Luca Antiga:
https://python.it/feedback-1807
From Machine Learning to Deep Learning and Applying AI to real-world enterprise challenges by Mo Haghighi :
https://python.it/feedback-1810
Come aiutare i cani con Genropy by Francesco Porcari:
https://python.it/feedback-1809
Introduzione a Zerynth: Python per Microcontrollori e Applicazioni IoT by Luigi Francesco Cerfeda:
https://python.it/feedback-1488
Source; deploying unbiased models effortlessly by Anton Bossenbroek and Luc PONS:
https://python.it/feedback-1808