PyVideo.org - PyCon SK 2017

A documentation crash course for developers

Chris Ward — Sun, 12 Mar 2017 00:00:00 +0000

Description

How many times have you come across an awesome looking library or tool that you're keen to work with in your own project but can't even begin to understand how to use it?

Programmers are great at creating amazing and cutting-edge code, but not always so good and explaining themselves, and I want to help.

In this presentation I want to draw upon my experience in writing tutorials and technical documentation to help you write clear, concise and usable documentation for your own projects.

We will cover topics such as:

Why write documentation?
Explaining your point and motivation
Creating context and meaning
Writing clear copy
Creating meaningful examples and tutorials
Documentation systems and formats
Making documentation part of build processes
Testing Docs
Versioning of Docs and maintaining consistency

Automating Network Equipment with Python

Elisa Jasinska — Sun, 12 Mar 2017 00:00:00 +0000

Description

Cisco, Juniper, Arista... plenty of network equipment vendors support some form of automated access tho their devices these days. Many of those access libraries are written in Python and made it the goto language for network engineers. From abstracting Netconf or SSH, configuring devices or retrieving structured data - depending on the vendor support, the available libraries provide plenty of functionality to take traditional network engineering to the next level.

We will walk you though what functionality a typical network library provides and will present examples on how to manage and configure your network infrastructure in an automated fashion.

Because Web API Testing Should Be Easy

Honza Javorek — Sun, 12 Mar 2017 00:00:00 +0000

Description

Web APIs are often called REST APIs, which recently became a part of the everyday life of many Python developers. Sure, it can be a blast to build an API with frameworks like Django or Flask, but writing tests for it can be a tedious drag: asserting every single HTTP code, set of headers, JSON responses, error states… you know the drill. Despite all that you do, you still need to assure your API clients won’t be exposed to any unexpected surprises. At Apiary, we've developed an Open Source testing framework called Dredd, which has baked in first-class Python support. It does all the heavy lifting and boring stuff for you while allowing you to alter the test cases with arbitrary Python code. Let Judge Dredd do your API justice.

Discovering Related Content with Python

Yian Shang — Sun, 12 Mar 2017 00:00:00 +0000

Description

Short Description:

This talk goes over how Vox Media built a content similarity tool for journalists, including algorithm selection, input weighting, UI design, and user feedback.

Abstract:

At the end of reading a news article, we sometimes find ourselves wanting more - more context, more insight, perhaps something related that dives deeper. In this talk, I will explain how we built a tool in Python for journalists to discover related content from a large corpus of articles.

I'll go over some of the different models we tried (given the abundance of machine learning and NLP libraries in Python) and how we eventually settled on Word2Vec. I will also talk about how we worked with journalists to incrementally improve the tool - from minor tweaks like assigning higher weights to title words vs article body words to the ability to feed in external seed articles.

Intended Audience:

Python developers who are interested in machine learning and neural networks

How far can you go with python

Jakub Balas — Sun, 12 Mar 2017 00:00:00 +0000

Description

Part 1) A story about my personal journey with python from a junior to senior level. Part 2) An overview about the market in UK for a python developer. Part 3) Usage of the python in various environments - Web, BigData, Game Dev, DJing and music production and some mobile projects in Kivy

The default talk language is English but I can always default into Slovak if there's nobody foreign.

The main goal is to motive our youth to go beyond a simple "Hello World" app as there is always a big market for this beautiful language.

Je azda Matlab lepší ako had?

Michala Gulášová — Sun, 12 Mar 2017 00:00:00 +0000

Description

Využitie free pythonu namiesto Matlabu, teda praktická ukážka vývojového prostredia Spyder z balíčka Anaconda, praktické využite knižníc ako NumPy a SciPy napr. aj pre stegoanalýzu či iné štatistické výpočty, generovanie grafov.

Jupyter: if you don't use it yet you're doing wrong.

Christian Barra — Sun, 12 Mar 2017 00:00:00 +0000

Description

Have you ever heard about Jupyter Notebook ? It's like Python REPL on steroids !

In this talk I will introduce the Jupyter project, the libraries behind this project and how you can use Jupyter Notebook for a lot of activities like fast prototyping, data science, education and so on !

The talk will be an introduction, Beginners are welcome !

Let's solve cardiac diseases together: Python meets medical imaging and machine learning

Jan Margeta — Sun, 12 Mar 2017 00:00:00 +0000

Description

Are you thinking of applying computer vision and machine learning in your new projects? Are you excited about artificial intelligence and the future of healthcare? Then join us for this talk, and at least for a moment become a part of our start-up journey at KardioMe.

Come and learn about our own hearts' function and how we use Python for automated medical image analysis to improve understanding of our cardiac anatomy from computed tomography and magnetic resonance images. Together, we will see tools making our healthcare at least a bit more efficient, tools empowering all of us to take better care of our health.

I will share with you some our experiences from building prototypes to deploying machine learning systems for automated medical image analysis. I will show you how deep learning with convolutional neural nets can solve some of your computer vision challenges too and how to pick your machine learning framework and image processing library (featuring Keras with Tensorflow, MxNet, scikit-learn, OpenCV, scikit-image, and SimpleITK)

Lightning talks: ase

Otto Kohulák — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Otto Kohulak

Lightning talks: Coala.io

Lasse Schuirmann — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Lasse Schuirmann - Coala.io

Lightning talks: Euro Python

Various speakers — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Euro Python

Lightning talks: Exterminate python

Lasse Schuirmann — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Lasse Schuirmann - Exterminate python

Lightning talks: Flask Elsa

Miro Hrončok — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Miro - Flask Elsa

Lightning talks: Google Summer of Code

Bhargav Srinivasa Desikan — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Bhargav Srinivasa Desikan - Google Summer of Code

Lightning talks: Howknow

Ubu Komarova — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Ubu Komarova - Howknow

Lightning talks: PyCon CZ

Bára Drbohlavová — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Barbara - PyCon CZ

Lightning talks: PyCon PL

Filip Kłębczyk — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Filip - PyCon PL

Lightning talks: PyCon web 2017

Anton Caceres — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Anton Caceres - PyCon web 2017

Lightning talks: PyDays Vienna

Claus Aichinger — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Claus Aichinger - PyDays Vienna

Lightning talks: PyTravel - Good bye greeting

Ján Gondol — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Ján Gondol - PyTravel - Good bye greeting

Lightning talks: Spain PyData

Juan Luis Cano Rodríguez — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Juan Luis Cano Rodríguez - Spain PyData

Lightning talks: virtualenv

Miloš Korenčiak — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Miloš Korenčiak - virtualenv

Lightning talks: We Are Developers

Marek Mansell — Sun, 12 Mar 2017 00:00:00 +0000

Description

Lightning talks: Marek Mansell - We Are Developers

Mozilla ❤ Python

Michal Vašíček — Sun, 12 Mar 2017 00:00:00 +0000

Description

Mozilla a Python jsou nerozlučná dvojka, přestože to mnoho lidí neví. Python pohání serverové služby, nástroje pro přispěvatele projektu Mozilla i webové stránky. Ukážu některé z nich a pokud vás nebaví jenom přihlížet, dozvíte se také, jak se zapojit do vývoje.

Red Hat - how to build diverse and entertaining opensource corporate culture

Jana Gutierrez Chvalkovska — Sun, 12 Mar 2017 00:00:00 +0000

Description

In Red Hat, our corporate culture is a very important topic and a focal point for our senior leadership as well as for all of our more than 11,000 Red Hatters globally. As a company built on opensource, our culture includes values such as meritocracy, openness, transparency and diversity. Our culture is what differentiates Red Hat from our large corporate competitors. But how to preserve this culture and continue growing? How to incorporate diversity and benefit from inclusion? What activities is Red Hat doing in order to balance fun with productivity? And how to convert buzzwords like openness, leadership and meritocracy into real actions? In my session, I will provide answers to these questions using cases from Red Hat Czech and Red Hat global and also discuss any related topic brought up by the audience.

Sentiment analysis of customer comments

Tibor Zavadil — Sun, 12 Mar 2017 00:00:00 +0000

Description

Analysis of customer satisfaction has become a key topic for many companies. I perform sentiment analysis in Python using various open-source libraries (such as NLTK and Scikit-learn). This involves natural language processing, vectorization, feature selection, choice of appropriate classifier and parameter grid search. Using real business data I managed to achieve the accuracy of correct sentiment detection at around 90%.

Teaching python to (your) children

Horst JENS — Sun, 12 Mar 2017 00:00:00 +0000

Description

My business ( http://spielend-programmieren.at) is to teach programming (python) to young children, i do this self-employed, outside schools since 2006. In this talk, i give my personal experience of what works (for, me, in regard of teaching children to code), what does not work, and how to best teach complex topics like free software / open source to children age 10+.

The machine's search for meaning

Peter Fedoročko — Sun, 12 Mar 2017 00:00:00 +0000

Description

80 % of analyst's work is to search for meaning in data. Unfortunately 95 % of signals found are pure noise. This is tremendous waste of time and potential of one of the smartest people. Being in their shoes for such a long time I felt the same frustration and decided to solve it for once and for all. In 2015 I designed and developed python engine that leverages 20+ analytics libraries and encompass standard analyst’s processes. It can effectively find all important situations in data, faster and more precisely than any human analyst. But thats not all. It also understands context and can precisely add explanation to every situation. In my talk I will explain overall system architecture, its orchestration via Airflow and libraries we use including pandas, scikit-learn or networkx. I will also discuss the biggest issues I faced to make it fast, configurable and generally applicable to any data.

Topic Modelling with Gensim

Bhargav Srinivasa Desikan — Sun, 12 Mar 2017 00:00:00 +0000

Description

Topic Modelling is an information retrieval technique to identify key topics in a large corpus of text documents. It is a very handy technique to model unstructured textual data, and is used heavily in both industry and in research to both understand trends in textual data and analyse new documents via their topics. Gensim is an open-source python NLP framework which provides an API to do robust, industry-grade Topic Modelling which is memory independent and super fast, while being very simple to use. The best part of gensim and python for Topic Modelling is it’s ease of usage and effectiveness. I would propose a small talk to explain how to effectively do topic modelling in python using Gensim framework- especially - after identifying topics from a large dataset, and then leveraging to perform un-supervised clustering, colouring topic-words in a document, and better understanding textual data for subsequent usage. All of this will be supported with examples from research and industry. [ My relationship with Gensim is through the Google Summer of Code 2016 program, where I am implementing Dynamic Topic Models for them ]

Záverečný príhovor

Richard Kellner — Sun, 12 Mar 2017 00:00:00 +0000

Description

Zaujíma Vás ako sa začal PyCon na Slovensku? Alebo prečo by ste mali prispievať do OpenSource projektov? Richard Kellner nám na konci prvého dňa konferencie na tieto otázky zodpovedal... Na záver sa ukáže aj dobrovoľnícky tím čo organizoval PyCon SK 2017.

Automation with Ansible and Containers

Rodolfo Carvalho — Sat, 11 Mar 2017 00:00:00 +0000

Description

Ansible is an open source automation platform, written in Python, that can be used for configuration-management, application deployment, cloud provisioning, ad-hoc task-execution, multinode orchestration and so on.

This talk is an introduction to Ansible for beginners, including tips like how to use containers to mimic multiple machines while iteratively automating some tasks or testing.

Building Data Pipelines with Python

Katharine Jarmul — Sat, 11 Mar 2017 00:00:00 +0000

Description

Manging data at a company of any size can be a pain. Data pipelines and other automation workflows can help! In this talk, we'll cover how to determine if a task or data process is a good candidate for automation and review some likely frameworks you can use to do so: like Spotify's Luigi and Airbnb's Airflow. The talk will also cover potential issues in automation and how to best validate proper data processing with your new pipeline.

Connecting the pieces: breathing life into digital collections

Philo van Kemenade — Sat, 11 Mar 2017 00:00:00 +0000

Description

You could say the act of 'collecting' is as old as human kind. From when we were hunter-gatherers until today we've always had reasons for accumulating things. Now that we also collect digitally, interesting things can happen. With the help of technology we can easily gather, process, connect, catalogue and zoom in and out of millions of items. Are there also dangers of seeing the things you collect as mere data points? This talk will discuss the practice of digital collecting from a technologist perspective and will touch on collecting as an art practice, digital art collections, webscraping, digital libraries and personal data.

Django Channels and Real-Time Data

Rachel Willmer — Sat, 11 Mar 2017 00:00:00 +0000

Description

Rachel is a entrepreneur and full-stack developer who enjoys developing complicated distributed software. She first joined the Internet in 1986 and has since has worked on CAD, networking, cryptography, digital cash, ebooks and price comparison products. Rachel is the founder of Luzme, the world's best ebook price comparison website, which sends price alerts on your watchlist. Originally built with Django/Python, this now includes a new front-end stack based on AngularJS/Firebase. As the founder of Intertrader in 1995, Rachel created a dotcom company aiming to create the world's first digital cash exchange. After surviving 8 years of dotcom boom-and-bust, and after successfully selling the concept to major customers like Mastercard, CREST and Bank of Scotland, she eventually learnt that being 20 years ahead of the market was not necessarily a Good Thing and closed the company. She then worked with Ben Laurie on the OpenPGP::API open source cryptography library, moving on the BBC where she worked on one of the world's top 10 largest CouchDB installations. Rachel is active in the technology and startups communities, with a particular interest in new technologies and companies. She studied Engineering Science at the University of Durham. She lives in Edinburgh, Scotland and is learning to play jazz upright bass.

End-to-End Encryption of Distributed Applications

Jeff Lambert — Sat, 11 Mar 2017 00:00:00 +0000

Description

In today's internet connected environment protection from hackers when developing a distributed or internet connected application is crucial. This talk will discuss the options available to us as developers for encrypting the traffic between the nodes of our distributed applications to insure that even intercepted messages are un-readable, and un-encryptable by an adversary. To achieve this we will use one-time and self-destructible private keys, along with dispensable, one-use secrets to generate our encrypted message. We will then learn how to structure our message for transmission to insure it is decryptable by the receiving party, with little risk of being compromised during transmission. To end, we will learn how to decrypt the messages received "on the fly", using only the supplied crypted message itself.

This talk is aimed at mid-level Python users but is understandable by beginners.

From Code to Community

Anton Caceres — Sat, 11 Mar 2017 00:00:00 +0000

Description

This talk is about people, not tools. It takes you on a journey from building software to building a community.

Python communities are special in many ways, from non-commercial nature to viral enthusiasm and friendliness. This talk shares one recipe of growing such community, covering hands-on experience, insider details and financial challenges.

The recipe is based on the story how one year ago a tempting idea of making Python meetups in Munich was converted into PyCon.DE. No companies, no funds, no business network. Just Python community, and some enthusiasm.

How to build up a Python community and empower women

Kristi Progri — Sat, 11 Mar 2017 00:00:00 +0000

Description

In 2012 not a lot of people were interested in Python in the relatively small city of Tirana, the capital of Albania. Even fewer girls were interested in Python. During (Jona Azizaj and Kristi Progri) our talk we will share the story of how we, a small but dedicated group of people, jump started the community in a small country like Albania and what other small cities and countries should avoid during their first steps in developing a Python community in similar conditions. Most important we will share tips and tricks on how to keep the Python spirit alive for a long time after the first enthusiastic steps, with the goal that our shared experience will help other communities to make the first steps or grow even further. Also nowadays we are witnessing that the number of girls involved in technical fields, especially development, is really low and we are going to present what as the influence on low participation of girls and the steps we should take to fix it.

Keynote: Human part of open-source

Adrian Holovaty — Sat, 11 Mar 2017 00:00:00 +0000

Description

Adrian is co-creator and former co-BDFL of the Django web framework. He was working as a developer at an American newspaper when the team decided to open-source their homegrown collection of web development tools. These days he's making Soundslice, a web-based music education tool. Originally from Chicago, he now lives in Amsterdam.

Make learning great again: It's the how, not what

Valdemar Švábenský — Sat, 11 Mar 2017 00:00:00 +0000

Description

Are you curious about how to teach programming effectively? Are you a Python fan interested in everything Python-related? Or would you simply like to see a non-standard presentation? If you answered yes at least once, then this funny and inspiring talk is right for you! In around 20 minutes, you'll hear from a young student-teacher about: - What coding skills are taught to beginners and how - Experience with teaching - A few surprises No technical knowledge is needed (some code samples will be shown, but they're not essential). Discussion at the end is very welcome. Looking forward to seeing you!

Making monitoring boring

Michal Hanula — Sat, 11 Mar 2017 00:00:00 +0000

Description

Monitoring, like all infrastructure, is not supposed to be a source of surprises, wonder or excitement. Boring things (such as being able to keep sane working hours, sleeping all night and knowing about potential problems before your users tell you) are preferred.

To avoid undue excitement, there is a set of principles and best practices to follow. Let's talk about those.

Open Source Contributor Automation

Lasse Schuirmann — Sat, 11 Mar 2017 00:00:00 +0000

Description

Open Source projects always lack contributors. At the PyCon Munich I presented 10 actionable steps to grow a community, based on what we did to grow coala from ~5 contributors to over 300 people having submitted a patch successfully without lowering our quality bar. The feedback on this talk has been overwhelming and it's time to launch the next iteration:

"Open Source Contributor Automation" will give you a short overview over the strategies to grow an open source project like a startup. We will then learn about tools and strategies to save maintainers from burning out on newcomers: you will learn about our open source tooling and how to use it on your organization.

Our journey from developers to real software engineers

Jozef Képesi — Sat, 11 Mar 2017 00:00:00 +0000

Description

Few years ago, we were a bunch of cowboys trying to create the fastest flight ticket search engine. We did a lot of mistakes... But we did it with passion. I will talk about how we knew how to avoid all the stupid issues, but why were we not able to do it at the same time.

Panel discussion: Demystifying the recruitment process

Razvan Chitu — Sat, 11 Mar 2017 00:00:00 +0000

Description

From Open Source to Your Dream Job Changed to: Panel discussion

Python using Redis - what kicked our asses?

Honza Grec — Sat, 11 Mar 2017 00:00:00 +0000

Description

What happened to us in automation team when we found redis and started pretending we understand it? What you should be aware of if you're starting implementing redis into your python services? What to do if you want to have a lot of fun, and what probably not to do if you want to have stable service?

Scrum sucks!

Martin Strýček — Sat, 11 Mar 2017 00:00:00 +0000

Description

Scrum is an iterative and incremental agile software development framework for managing product development. Phrased that way, it sounds cool and attractive. No wonder: we took the sentence from Wikipedia. Based on first-hand experience, however, we say scrum leaves a lot to be desired.

At Exponea we grew our IT and Product teams to 20 people in one year without giving excessive thought the process side. Instead, believing that the greatest asset is people, we have been focusing a lot on talent, motivation, engagement and opinions. In my contribution, I will cover how our team goes about software development, what we have tried and rejected, and how we choose to select future colleagues. It is believed our learnings can benefit small and big teams in startups and corporations alike.

Selinon - A dynamic distributed task computing with Python

Fridolín Pokorný — Sat, 11 Mar 2017 00:00:00 +0000

Description

Selinon is a project that is based on popular project Celery. Selinon gives you a power to define flows and dependencies in flows in a distributed environments, schedule tasks based on results of workers, their success or any external events.

Selinon is an advanced flow management above Celery project (an asynchronous distributed task queue) written in Python3, that allows you to dynamically schedule tasks based on results of previous tasks, group tasks into flows, schedule flows from other flows, store results of tasks in your storages and databases transparently, validate results against defined JSON schemas, track flow progress via the build-in tracing mechanism, complex per-task or per-flow failure handling with fallback tasks or fallback flows. All of this can be done in a fully distributed environments orchestrated by OpenShift, Kubernetes or any other orchestration tool.

The project is actively developed and hosted at https://github.com/selinon.

The Balance of Python

Petr Viktorin — Sat, 11 Mar 2017 00:00:00 +0000

Description

Python successfully maintains a fine balance between being easy to learn and useful for even large-scale projects. This is achieved both through the design of the language, and through the community.

On the language design side, Python is built around a closely curated set of mechanisms – iterators, attribute/item access, callables, context managers, and so on. I'll compare this set to languages like C, Lisp, Java, C++, and JavaScript, and show why it works – and where it could be better.

In design discussions around Python, the phrase "consenting adults" is often repeated. Python is designed to not prevent its users from doing anything. You can fairly freely inspect classes or even monkeypatch as needed. To balance this freedom, there is a vague, ever-changing notion of "Pythonic code", which is nevertheless quite successful in making the Python that actual programmers use quite a strict language. I'll share some insights about about how this balance works out, and how it helped make Python the language – and community – that it is today.

Through Python to the stars!

Juan Luis Cano Rodríguez — Sat, 11 Mar 2017 00:00:00 +0000

Description

In the intersection of mechanics, mathematics and “cool stuff that travels through space” lies Astrodynamics, a beautiful branch of physics that studies the motion of spacecraft. Rocket launches have never been so popular thanks to companies like Space X, more and more investors pay attention to aerospace startups and amazing missions explore our planet and our Solar System every day. In this talk we will get to know poliastro, a pure Python library that we can use to compute orbital maneuvers, plot trajectories and much more. The role of JIT compiling (using numba) to replace old and busted FORTRAN algorithms will also be discussed, as well as the importance of open source in scientific discoveries.

What makes Silicon Valley software developers special

Pavel Serbajlo — Sat, 11 Mar 2017 00:00:00 +0000

Description

Finding talented software developers has always been an important part of my career. Ever since I moved to Silicon Valley, I quickly realized my current hiring skills and beliefs wouldn't work there. As I started to adapt to the new job market, I was able to identify some of the differences between developers in Silicon Valley and CEE region.

During this talk, I'll focus on the state of talent in SV, the latest trends in talent acquisition and share some surprising learnings about the developers in the Silicon Valley.

You should contribute to open-source

Michal Petrucha — Sat, 11 Mar 2017 00:00:00 +0000

Description

There is no doubt that open-source software plays an important role in the world of software development, ranging from the operating systems we use, to languages and libraries, to development tools, and everywhere in between. Yet, many software developers never consider contributing to the open-source software that they work with, not even when an obvious, direct opportunity presents itself. In this talk I'll try to make a case for why it's in your own interest, as a software developer, to get involved in open-source development, and give a few pointers to those who are interested, but just don't know where to start.

Ako funguje evolúcia?

Anino Belan — Fri, 10 Mar 2017 00:00:00 +0000

Description

Jemný úvod do evolučných algoritmov v Pythone. Aké podmienky musia byť splnené, aby mohla evolúcia fungovať? Ako naprogramovať replikáciu, mutáciu a selekciu? Zvládnu to stredoškolskí študenti? Na čo môžu byť evolučné algoritmy dobré? Jedinečná príležitosť vidieť, ako to môže dopadnúť, keď informatik fušuje do biológie.

Ako môže AI v Pythone pomôcť firme rásť?

Jožo Kováč — Fri, 10 Mar 2017 00:00:00 +0000

Description

Na praktických príkladoch ukážem akú hodnotu môže umelá inteligencia priniesť pre e-commerce firmu. Predvediem ako sa dá identifikovať príležitosť, ako ju zadefinovať ako zadanie pre AI, ako vybrať vhodný algoritmus a odmerať dosiahnutý prínos. Bude to aj o návrhu experimentov na zelenej lúke, keď neexistujú historické dáta. A takisto aj o učení sa z dát a limitoch takéhoto učenia. Dotkneme sa i tém ako bandit algoritmy, prediktívne modely, odporúčacie systémy - a to všetko s ukážkami v Pythone.

Ako si lepší e-government spravíme sami

Ján Suchal — Fri, 10 Mar 2017 00:00:00 +0000

Description

V Slovensko.Digital okrem iného programujeme Ekosystém. Zbierame tam dáta, robíme rozumné API, poskytujeme služby a ukazujeme, že robiť dobré "štátne" služby nemusí robiť len štát, nemusí to byť byť zložité, trvať roky, stáť nás to milióny. Dozviete sa čo v Slovensko.Digital robíme dnes, čo plánujeme, kde potrebujeme pomôcť, a hlavne ako si ten lepší egov urobíme teraz a spoločne my.

Alternatívne spôsoby ako spúšťať testy a vyhodnocovať ich výsledky

Tibor Arpáš — Fri, 10 Mar 2017 00:00:00 +0000

Description

Konceptuálne zamyslenie sa nad tým ako používať sadu testov a ako interpretovať jej výsledky. Čo je pri tom problematické a ako z nej získať čo najväčšiu hodnotu.

Najpoužívanejším úžívateľským rozhraním na spúštanie testov sú pravdepodobne command line, PyCharm a CI Servre. Ukážem ich výhody a limity. Predvediem alpha verziu nového nástroja na pohodlné výhľadávanie, spúštanie testov, uchovávanie výsledkov a ich prehľadné zobrazenie. Ukážem ako sa vyhnúť kilobajtom neštruktúrovaného textového výpisu.

Predvediem koncept zobrazenia stack trace inline v editore zdrojového kódu a pohodlnú navigáciu hore-dole po ňom.

Closures in Python

Slavomir Hudak — Fri, 10 Mar 2017 00:00:00 +0000

Description

Almost all languages today have support for closures. Python is no exception. We are going to look at closure concept in general, how it works and what are pros and cons of such approach. The discussion shall include details about functions, scopes, lambdas and comparison to clasess . We are also going to think about use cases for this technique and compare behavior to other languages like Javascript, C# or Java.

ctypes tutorial

Matuš Valo — Fri, 10 Mar 2017 00:00:00 +0000

Description

Python je dynamický programovací jazyk, ktorý bol navrhnutý tak, aby jeho kritické časti sa dali jednoducho prepísať do jazyka C. Preto sa často stretávame s praxou, že Python knižnice sa nesnažia znovu implementovať funkcionalitu ale poskytujú wrapper už existujúcej C knižnice. Implementácia takéhoto wrappera pomocou API python interpretera môže byt náročnejšia pretože si vyžaduje znalosť programovania v jazyku C a znalosť Python/C API. Navyše pri programovaní musíme priamo alebo nepriamo pracovať s pamäťou, čo môže viesť k chybám spôsobujúcim únik pamäte. Takéto riešenie má taktiež problém s prenositeľnosťou na alternatívne implementácie Pythonu (napr. PyPy, Jython).

Väčšinu týchto problémov rieši knižnica ctypes. ctypes je súčasťou štandardnej distribúcie Pythonu. Poskytuje možnosť volania C funkcií priamo z Pythonu bez nutnosti programovania v jazyku C.

V rámci prezentácie bude predstavená ctypes knižnica s príkladmi definovania API obsahujúce zložitejšie štruktúry a funkcie. V rámci praktického príkladu vytvoríme python wrapper nad openldap knižnicou libldap.

Custom Python Libraries for Robot Framework

Miroslav Beka — Fri, 10 Mar 2017 00:00:00 +0000

Description

V priebehu posledných rokov sa stále častejšie kľadie dôraz na automatizované testovanie. Testeri používajú viacero automatizačných frameworkov a klasické testovanie sa mení viacej na skriptovanie až programovanie. Python je jazyk, ktorý je vhodný aj na takúto úlohu. Jeden z najpopulárnejších automatizačných frameworkov na testovanie je Robot Framework, ktorý je naprogramovaný v Pythone a jeho tvorca, Pekka Klärck pochádza z radov testerov. RF je generický nástoj, ktorý nie vždy pokrýva naše potreby. Jedným zo spôsobov je programovanie vlastných knižníc pre RF, s ktorými si vieme uľahčiť prácu s komplexným systémom. Prezentácia ukáže praktické použitie rôznych typov knižníc pre RF.

Grafika v Jupyter notebookoch a vplyv programovacích prostriedkov na dušu študenta i učiteľa

Michal Kaukič — Fri, 10 Mar 2017 00:00:00 +0000

Description

Ukážeme si možnosti 2D i 3D zobrazovania zaujímavých vecí v Jupyter notebookoch (Matplotlib, Bokeh, Mayavi), ich interaktívne zmeny a prvky grafického používateľského rozhrania (IPywidgets). V príspevku by mal ostať priestor na diskusiu, akým spôsobom by sa mohli prostriedky na báze jazyka Python použiť vo výučbe (nielen informatiky).

Jazyk Python v programátorskej súťaži PALMA junior

Ľubomír Šnajder — Fri, 10 Mar 2017 00:00:00 +0000

Description

Programátorská súťaž PALMA junior (od 2005) je určená žiakom základných a stredných škôl. Okrem vyhľadávania programátorských talentov sa zameriavame na rozvoj programátorských zručností, algoritmického myslenia a matematických znalostí žiakov. Od roku 2015 môžu súťažiaci svoje riešenia okrem jazyka Imagine Logo posielať aj v jazyku Python. V príspevku odpovedáme na viaceré otázky. Ako vyberáme zadania súťažných úloh, aby ich riešenia boli porovnateľne náročné v oboch programovacích jazykoch? Ktoré aspekty programovania sledujeme v súťaži okrem zdokonalenia sa v používaní výrazových prostriedkov jazyka Python? S akými zaujímavými riešeniami a žiackymi miskoncepciami sme sa doposiaľ stretli v riešeniach súťažných úloh?

Make sudo pip Safe Again

Michal Cyprian — Fri, 10 Mar 2017 00:00:00 +0000

Description

At the present time, running sudo pip3 in Fedora is not safe. Pip shares its installation directory with DNF package manager, can remove DNF-managed files and generally break the Python 3 interpreter. In this talk i'll try to describe the problem, possible solutions that have been discussed and the result of work which was proposed as a Fedora Change. I will also mention the process of discovering initialization of Python interpreter and I will show you a couple of live demos.

MicroPython - Python a hardvér patria k sebe

Marek Mansell — Fri, 10 Mar 2017 00:00:00 +0000

Description

Mnoho ľudí sa obáva komplikovanosti hardvéru, a to pritom úplne zbytočne. Rozsvietiť LED pásik, odmerať teplotu či dokonca naprogramovať si vlastného robota sa v skutočnosti dá naučiť v priebehu niekoľkých vyučovacích hodín. MicroPython je druh Pythonu určený pre naprogramovanie mikroprocesorov. Niektoré z nich obsahujú aj WiFi mudul, takže sa ľahko dajú ovládať aj z počítača či mobilu. Ukážeme si, aké jednoduché je začať s hardvérom, ktoré mikroprocesory sú najlepšie pre začiatočníkov a ako do informatiky zakomponovať fyziku alebo biológiu.

MicroPython & TREZOR

Pavol Rusnak — Fri, 10 Mar 2017 00:00:00 +0000

Description

MicroPython je moderna implementacia Pythonu pre mikrokontrolery a embedded systemy. Pozrieme sa spolocne na ake problemy sme pocas vyvoja bitcoinovej hardverovej penazenky TREZOR narazili a ako sme ich vyriesili.

Open Data - introduction, status in Slovakia and role of Python

Peter Hanečák — Fri, 10 Mar 2017 00:00:00 +0000

Description

This talk will cover Open Data in three main parts:

Introduction about Open Data will explain the basics (technicalities and licensing), motivation and examples of benefits.
Situation in Slovakia will to some degree cover parts of history, current state and possible outlooks into future.
What role plays Python and people skilled with using Python play in Open Data?

Prečo učiť Python

Andrej Blaho — Fri, 10 Mar 2017 00:00:00 +0000

Description

V použití programovacích jazykov pozorujeme zaujímavý efekt: Od polovice 70-tych rokov sa jazyk Pascal stáva najrozšírenejším programovacím jazykom na vysokých školách na celom svete. V 80-tych rokoch Pascal preniká aj na stredné školy, kde je dokonca až do súčasnosti štandardom prakticky vo všetkých krajinách. Od vtedy sa na vysokých školách vo svete vystriedalo niekoľko veľkých jazykov a zdalo sa, že práve Java tu zaujme najdôležitejšiu pozíciu. Lenže v posledných rokoch sa na prvú pozíciu na univerzitách dostáva Python. Pomaly sa tu stáva štandardom a čím viac sa objavuje aj v pokročilých predmetoch vo vyšších ročníkov. A nie je prekvapením, že si Python začína získavať popularitu aj na stredných školách a úspešne sa snaží vytlačiť zatiaľ kraľujúci Pascal. Aká je budúcnosť tohto vývoja? Naozaj je Python tak perfektný jazyk, že v týchto situáciách plnohodnotne nahradí doterajšie jazyky? Otázkou je tiež, či tým študenti aj žiaci takto nezískajú nejaké programátorské zlozvyky, prípadne nejaké miskoncepcie.

Programovanie v škole: Primerané, udržateľné, rešpektované a integrované. Platí či neplatí?

Ivan Kalaš — Fri, 10 Mar 2017 00:00:00 +0000

Description

V ostatných rokoch sme svedkami opätovnej explózie záujmu o školské programovanie prakticky v každej krajine s rozvinutým školstvom, a to aj na úrovni základnej školy, či dokonca v predprimárnom vzdelávaní. Rozvoj moderného školského programovania pre každého žiaka je hlavným cieľom mojej odbornej práce už od konca 80-tych rokov. Avšak až donedávna som neevidoval ani jednu celoplošnú, systematickú, vývinovo primeranú, rešpektovanú a správne podporenú implementáciu edukačného programovania do niektorého formálneho vzdelávacieho systému – napriek tomu, že viacero krajín explicitne deklarovalo práve takúto politiku ako svoj cieľ, a to prostredníctvom povinného predmetu s názvom ako Computer Science, Informatika, IKT či Computing. Je preto namieste pýtať sa, či sa táto súčasná vlna obnoveného záujmu o edukačné programovanie niečím líši od tých predchádzajúcich a či má tentoraz nádej na udržateľnú integráciu do vzdelávacieho procesu v bežnej škole, napr. aj na základnej škole. Vo svojom vystúpení sa pokúsim zdôvodniť, prečo tento ambiciózny cieľ považujem za dosiahnuteľný a ktoré faktory musíme starostlivo zvažovať, aby sme dosiahli takéto všeobecne akceptované a stabilné školské programovanie pre každého.

Programujeme v Pythone

Peter Kučera — Fri, 10 Mar 2017 00:00:00 +0000

Description

V našom príspevku vám priblížime, ako sme prešli z vyučovania programovania v Lazaruse/Delphi na jazyk Python. Vysvetlíme vám dôvody zmeny programovacieho jazyka, ukážeme materiály a metodiku, podľa ktorej vyučujeme. Priblížime vám naše skúsenosti, odozvy študentov. Podstatou nášho vyučovania v Pythone je využívanie grafického prostredia knižnice tkinter. Študenti v ňom kreslia grafické útvary, používajú cyklus a vetvenie, ovládajú program klávesnicou a myšou. V závere tvoria animácie a jednoduché hry. Naším cieľom je naučiť aj študentov, ktorí nebudú študovať informatiku a maturovať z nej, vytvárať jednoduché programy – najčastejšie hry, čiže niečo uchopiteľné, čím sa môžu pochváliť svojmu okoliu. Pre študentov je to veľmi motivujúce. Čo pripravujeme pre starších študentov? Ako plánujeme ďalej pokračovať? Aj týmto otázkam sa budeme venovať v našom príspevku.

Spracovanie textu a Machine Learning v Pythone

Vladimir Boza — Fri, 10 Mar 2017 00:00:00 +0000

Description

Úvod do spracovania textu a machine learningu plus ukážky a príklady použitia knižníc na NLP a ML v pythone. Prejdeme si klasické knižnice NLTK (na spracovanie textu) a scikit-learn (na ML) a ukážeme si aj moderné knižnice gensim (hlavne dobrý na slovné vektory) a Keras.io (na deeplearning). Na konci si ukážeme ako sa dajú poskladať pekné vizualizácie na niekoľko riadkov kódu.

Základy programovania v jazyku Python pomocou korytnačej grafiky

Eva Mészárosová — Fri, 10 Mar 2017 00:00:00 +0000

Description

V rámci nášho výskumu sme navrhli a vypracovali materiály na vyučovanie základov programovania v jazyku Python. Sú určené pre učiteľov a žiakov prvého ročníka stredných škôl. Vychádzali sme v nich z toho, že žiaci, ktorí prichádzajú na strednú školu majú zo základnej školy skúsenosti s rôznymi detskými programovacími prostrediami. Cieľom našich materiálov je, aby sa na strednej škole stretli s vyšším programovacím jazykom, ktorý je vhodný na vyučovanie základov programovania. Zároveň sme sa v našich materiáloch snažili nájsť také námety, aby sa žiaci v tomto programovacom jazyku oboznámili aj s náročnejšími algoritmami. V materiáloch sme sa rozhodli využiť motiváciu korytnačej grafiky, ktorá podporuje učenie sa objavovaním a skúmaním. Pomocou nej si žiaci osvoja základné pojmy a konštrukcie jazyka Python ako premenná, cyklus, podmienený príkaz a funkcia. V príspevku predstavíme našu metodiku a zároveň uvedieme skúsenosti z jej overovania a implementovania do vyučovania základov programovania pre žiakov prvého ročníka gymnázia.

Zážitkové vyučovanie vo výučbe programovania na strednej škole

Zuzana Tkáčová — Fri, 10 Mar 2017 00:00:00 +0000

Description

Pri výučbe programovania v súčasnosti prevláda tradičný transmisívny prístup pod vedením učiteľa ako hlavného sprostredkovateľa učebného obsahu. Zážitkové vyučovanie však ponúka nástroje, ako vytvoriť na hodinách bádateľské, tvorivé a motivujúce prostredie, v rámci ktorého žiaci aktívne experimentujú, skúmajú a objavujú zákonitosti, analyzujú a diskutujú. V príspevku ukážeme, do akej miery je možné transformovať výučbu programovania na zážitkovú tvorivú dielňu, aké sú východiská, ale aj úskalia takéhoto prístupu, predstavíme niektoré zážitkové techniky a skúsenosti z ich uplatňovania v praxi pri výučbe programovania v jazyku Python na strednej škole.