Agenda

More than 20 million Alexa devices are getting sold every quarter, and its becoming a part of our life day-by-day. But, still we have less than 20,000 skills developed for the Alexa platform as of yet. I see that as an opportunity, an opportunity to harness the power of an amazing platform. And this talk is exactly designed for that, to give you a glimpse of what it is all about and how can you yourself teach Alexa to talk to you. By the end of this talk You will know:
• What is all the craze about Alexa.
• What exactly is it! How to teach Alexa ‘skills’, and customise it for your use-cases.
• And the crux of the talk, I will give a live hands-on demo of how to do all this using Python.

Omówienie bibliotek Kivy i KivEnt, opis tworzenia prostych a przenośnych (desktop/android) gier w nich i porównanie jednej drugiej.

Everyone who loves to travel wants to have a smooth travel experience. ChatBots are trying to serve the needs of the users, coming up with content personalized according to each user. Wouldn’t you want to search for a hotel on the fly without setting up a plan to find the perfect getaway hotel for you? What if the Intelligent Assistant already knows what you like and comes up with exactly the same thing that you would love. That too, in a conversation that would last around 3-5 minutes, on your smartphone. ChatBots in the travel industry are changing our overall planning phase of the trip. I believe natural interfaces will play a major role in e-commerce.

Sesja wprowadzająca w obszar interoperacyjności platformy Microsoft Azure w kontekście narzędzi i rozwiązań opartych o język Python.

The talk will describe a case study whereby coding/computer programming, in the form of Python, was introduced to a group of 110 young people from the ages of 11 to 18 (Years 7-13 in a U.K secondary school). The talk will include descriptions of the various teaching methodologies introduced to the young people for this purpose and the outcomes; the talk will also address various challenges and questions about how to teach coding to young people.

TTCGGCTCAATATTATTAAC... Tak zaczyna się sekwencja DNA jednego z białek pythona zielonego. Badaniem takich i podobnych sekwencji, a także analizą innych, najrozmaitszych danych pozyskiwanych w laboratorium biochemicznym zajmuje się bioinformatyka, nauka, w której wykorzystujemy moce obliczeniowe, bazy danych, wiedzę algorytmiczną oraz umiejętności programowania do analizy danych biologicznych. Python jest językiem programowania bardzo chętnie wykorzystywanym przez bioinformatyków. Wśród popularnych narzędzi znajdzie się tu biopython, rozbudowana biblioteka ułatwiająca komunikację z najważniejszymi bazami danych oraz ich przetwarzanie i analizę.

Oscar is a powerful and flexible Django application for building ecommerce projects, allowing to satisfy client requirements without necessity of implementing solution from scratch. In this talk I will reveal how to efficiently develop a platform for buying, selling, supplying and exchanging goods using Oscar and avoid pitfalls.

Jak długo będziesz programował? Czy wiesz co będziesz robił jak już się wypalisz? a może programista się nie wypala? Na te i inne pytania postaramy się odpowiedzieć.

Developerze, data scientist, czy w Twojej kuchennej szufladzie z przydatnymi narzędziami masz już Ansibla? Nie? Pora to zmienić. Na prelekcji spróbuję "sprzedać" Ci Ansibla, który jest świetny do ściągania oraz konfigurowania wszystkich niezbędnych oraz zbędnych narzędzi potrzebnych do pracy. Virtualenv? Ansible przygotuje go za Ciebie. Poznaj te i wiele innych zastosowań Ansibla, które zaoszczędzą Twój czas.

Let's embark on a journey from early 2000's to the present. Looking at the threat landscape and how the cybersecurity industry evolved to address it. Also looking at the tools and systems that emerged, and how Python helped in navigating and addressing these threats to ensure that our users stay protected. And, if you think that Python is only for the good guys... well, think again.

Docker helps you make sure that the Django application you develop is exactly the same as the Django application you eventually deploy. In this talk, you’ll learn how to containerize a Django application, and how to use Docker Compose to connect your Django application to your entire stack.

Przestrzenie nazw -- tworząc kod w Pythonie używamy ich cały czas. Czy jednak dobrze znamy i rozumiemy rozwiązania, jakie oferuje nam Python w tym zakresie, jeśli chodzi o zmienne globalne i lokalne oraz atrybuty klas i ich instancji (również w kontekście dziedziczenia), a także, jeśli chodzi o funkcje definiowane wewnątrz funkcji i "dziedziczenie" zmiennych za pomocą mechanizmu domknięć? Tym razem weźmy się z tym tematem za bary bez przemilczeń i uproszczeń. Nie zabraknie informacji o mało znanych zakamarkach języka; nie zabraknie też jednak praktycznych rad i przykładów.

TBA

A brief introduction to selected good practices for automating BDD scenarios with behave

Każdy programista pracujący w języku z dynamicznym systemem typowania słyszał pewnie ten żart: “chodzi jak kaczka, kwacze jak kaczka, rzuca wyjątki podczas działania programu jak kaczka - to musi być kaczka!”. Możemy zarzekać się, że to nieprawda, ale niech pierwszy rzuci kamień ten, kto nigdy nie pomylił typu argumentów przekazanych do funkcji czy też nie wywołał metody, której dany obiekt nie posiada i... przekonał się o swojej pomyłce dopiero “na produkcji”. W mojej prezentacji przedstawię mechanizm type hints jako technikę ułatwiającą rozwijanie i utrzymywanie projektów w języku Python. Podczas wystąpienia zaprezentuję techniczną stronę tego rozwiązania oraz dostępne narzędzia.

From Google’s “Rules of Machine Learning”, most of the problems you will face are engineering problems. We use the principles of OOP - S.O.L.I.D. to build the solid and scalable machine learning system. We’ll introduce how to build the system, the challenges we faced and how do we solve them.

Testable code. A story about making the (testing) world better

Import hooks are a mechanism that has been present from quite a while in Python, yet wasn't lucky enough to get much attention from the community because why would you even want to import anything in a non-standard way or from something that's not a .py file? This talk will try to answer both the why any how kind of questions.

Wielokontenerowe uruchomienie testów behave na jednej maszynie.

Recent developments in analyzing functional magnetic resonance imaging (fMRI, neuroimaging) data with machine learning algorithms will be presented. This approach is commonly known as multivoxel pattern analysis (MVPA), since information from multiple (or all) locations in the brain (so called voxels) are taken into consideration here in a single model. Well-known Python packages such as scikit-learn or stats are perfectly suited for performing MVPA, not to mention more specialized solutions (nibabel, nilearn, nipy, PyMVPA) that greatly improves the functionality of Python as a daily-basics tool for analyzing neuroimaging data.

Case-study in Saint-Gobain Sekurit base of Python How to successful build and implementing MES integration system base of Python technology.

We have been building our web applications with DB in the centre of the design for years. While saving data cannot be ignored, one may lose track of business rules along the way if they concentrate on ORM models. Clean Architecture puts business value in the 1st place, letting think outside the box.

Admin is one of the best Django's features. Although it's not recommended to build entire app on top of it, we couldn't resist the temptation. I'll show you why we've decided to use Django admin for our fully open-sourced large system, the features we've incorporated in our app (ex. very granular permissions, polymorphic models, DRF extensions and charts based on ORM) and our lessons learned.

Mindset reset & rules breaking crash course: How the OCP community transformed traditional data centres based on open source hardware designs.

Krótkie omówienie o tym dlaczego powinieneś zawsze tworzyć środowiska wirtualne (virtualenvy) dla swoich projektów, jakie są najlepsze rozwiązania by to robić i jak nie robić tego źle

In this talk, we'll explore the challenge of data security from three perspectives -- a systems engineer, a software engineer and a data scientist. As we hear about their different approaches and understanding of data security, we'll develop a more holistic view. How can a team with diverse knowledge and interest in security work together to protect users, data and company interests? What can they learn from one another along the way? Will they be able to share knowledge along with best practices to create a secure infrastructure and processes?

I will show you how a good motivation brings the project forward and bad motivation kills it -- all in one month. Presenting a project created by students for the people, focusing on the management aspects, not on bragging.

The blockchain technology has been with us for some time now. Next year we will celebrate the 10-th anniversary of the first commonly available blockchain implementation that is called Bitcoin. Yet few people know the magic behind it. The best way to learn something is to build it ourselves. In this session we will walk through the implementation of a simplistic blockchain in Python and see how all the pieces fit together. Seeing something so simple, yet powerful in the works, unfolds the ingenuity of the whole solution and allows to fuller grasp the next steps in the evolution of the blockchain.

A few stories of my expierences working with legacy code and rewriting applications in Python. What worked, what did not, and what kind of mindset works best when you have a pile of undocumented and untested code and need to change something in it. Talk will focus on mental and organizational challenges of working with legacy code. There will be some technical parts and advice specific to Python but detailed Python knowledge is not required.

So you've heard about lots of cool methodologies and patterns probably? DD shortcuts, Agile mutations, lots of lots of stuff. Useless stuff. And useful in the same time. But how do you know? How to pick the right ones? I won't answer these questions. But *maybe* you'll feel a little bit comfortable and confident after my talk.