PyCon Sweden 2015 is taking place in Stockholm on May 12-13, 2015
Following last years success we are proud to announce the 2015 edition of PyCon Sweden. Just like last year it will be two full days of talks, activities and fun!
PyCon Sweden 2015 will take place in Stockholm on May 12-13 at the Hilton Stockholm Slussen hotel.
In order to make PyCon Sweden even better, please take the time to fill in our feedback form. That will help us create an amazing experience next year!
Main Room (Olympus) |
Second Room (Panorama Room) |
|
---|---|---|
8:00 | Registration | |
9:00 | Opening Statement (Main Room) | |
9:30 | Keynote: Ian Ozsvald (Main Room) | |
10:20 | Break | |
11:00 | Analyzing data with Pandas | From Explicitness to Convention: A Journey from Django to Rails |
11:40 | Docker and Python at Spotify | Data processing and machine learning with Python |
12:20 | Deep Learning and Deep Data Science | Test Driven Development with Python and Django |
13:00 | Lunch | |
14:00 | Hacking Human Language | U2F: Phishing-proof two-factor authentication for everyone |
14:40 | IPython: How a notebook is changing science | |
15:20 | Break | |
16:00 | Bulding an interpreter in RPython | |
16:40 | Lightning talks (5) (Main Room) | |
17:30 | End of Day 1 |
Main Room (Olympus) |
Second Room (Panorama Room) |
|
---|---|---|
8:00 | Registration | |
9:00 | Opening Statement (Main Room) | |
9:30 | Keynote: Kate Heddleston (Main Room) | |
10:20 | Break | |
11:00 | Why Django Sucks | |
11:40 | How Python drives the analysis of billions of DNA sequences | Puppet and Python |
12:20 | Embedded Python in practice | A reference DASH live video source |
13:00 | Lunch | |
14:00 | How to build a Python web application with Flask and Neo4j | |
14:40 | GitFs - Building a file system in Python | Ship Python apps with Docker! |
15:20 | Break | |
16:00 | Lightning talks (5) (Main Room) | |
16:50 | Python for Humans | |
17:30 | Closing Statement (Main Room) | |
17:45 | End of Day 2 |
Kate Heddleston is a software engineer from San Francisco who builds web applications using Python and Flask. She has a Masters in CS from Stanford and studied Human-Computer Interaction for both her undergraduate and Masters degrees. She enjoys using open source tools to build web applications and especially likes building portions of the product that interface with the user. When she is not programming Kate is involved with organizations like Hackbright Academy, PyLadies, and Raphael House. Kate is currently traveling the world and working on personal projects.
Ian authored High Performance Python for O'Reilly in 2014 and helps companies clean and exploit their data. His focus in 2015 is using data to improve recruitment and healthcare. He's particularly bored of cleaning bad data and wants to improve this so we can focus our time on the fun stuff.
Julian Berman
Target audience: Advanced users
RPython is a language and toolchain for building interpreters, most prominently PyPy, a Python interpreter. But RPython is a powerful tool for writing interpreters for many dynamic languages. We'll learn how to write a simple interpreter in RPython by implementing a parser, bytecode compiler and VM for a small language.
Roelof Pieters
Target audience: Advanced users
Deep Learning, anyone who has followed machine learning over the past years has heard it. In this talk I will go past the hype and show what deep learning actually means and how one goes about solving complex machine learning task with a minimum amount of code, with the help of theano, an amazing python library for deep learning. I will show examples from my own research in language and vision, and hope to show that Deep Learning is not only fun, but also not as difficult as one might expect.
Kenneth Reitz
Target audience: Advanced users
Python’s ecosystem is held up to a high standard, but it falls short in a few key areas. A handful of crucial APIs are an absolute pain to work with. We’ll go over where these APIs went wrong and learn about strong and elegant API design. The high barriers to entry in Python will be discussed. Potential solutions will be proposed.
Robin Linderborg
Target audience: Beginners
A gentle introduction to data analysis and visualization in Python using the Pandas library. We will explore how to clean, restructure, analyze and visualize data sets.
Rebecca Meritz
Target audience: Advanced users
I've just switched jobs from writting Django fulltime to writing Rails fulltime. This talk will be a reflection on what I miss from Django and why and what I've gained from Rails.
Juan Luis Cano
Target audience: Beginners
IPython was born as an Interactive Python shell on steroids 14 years ago, but its notebook tool is shaping the way scientists, developers and even journalists communicate and explore science. Let us examine IPython's importance in Open Science now that Nature highlighted one of its awesome features!
Dennis Ljungmark
Target audience: Beginners
We have been using Python in embedded use for several years. The talk will go over pains, pleasures and strategies. The talk will cover: Performance, when it matters and not; Size, memory and other constraints; Python on systems without FPU; What we actually do (SCADA, bus-integrations etc.);
Hendrik Heuer
Target audience: Advanced users
If you convert words into numbers, you can do interesting things with them. You can compare the topics in a book, make better translations and tell if a sentence is positive or negative. Python libraries like gensim and spaCy make it easy to play with this for fun, profit or social science.
Nicole White
Target audience: Advanced users
Flask, a popular Python web framework, has many tutorials available online that use an SQL database to store information about the website’s users and their activities. In this session, we’ll use Neo4j instead of SQL to build social aspects into our application, including recommending similar users to the logged-in user.
Emil Stenström
Target audience: Advanced users
When you love something very much, you run the risk of losing perspective. This is my chance to take on a more negative view of Django, and talk about its worst parts. I will talk about five problem areas: Async, Components, NoSQL, Isomorphic apps, and Single codebase.
Guillermo Carrasco and Robin Andeer
Target audience: Advanced users
The first part will focus on how Python manages the preprocessing and analysis of billions of DNA sequences in a completely automated way. We will also cover how sequencing results are visualised using Flask and MongoEngine to solve medical mysteries in the clinic today.
Flavia Missi
Target audience: Beginners
TDD can be tricky and many developers out there fail to perceive it's real value. This talk will show TDD's benefits and applications with real world examples.
Belhorma Bendebiche
Target audience: Advanced users
Docker is a tool that helps containerize, package and run applications in their own isolated environment, greatly simplifying the deployment process.This talk is about how we containerized some of our Python services at Spotify, the challenges faced and how we solved them.
Vlad Temian
Target audience: Advanced users
GitFs is an open-source filesystem which was designed to bring the full powers of Git to everyone, no matter how little they know about versioning. In this talk we will take a look at some of the crucial aspects involved in building a reliable FUSE filesystem, the steps that we took in building GitFs, especially in handling the git objects, what testing methods we have used for it and also we will share the most important lessons learned while building it.
Rasheed Amir
Target audience: Beginners
Docker allows to create lightweight, portable & self-sufficient containers. My presentation will have two parts: (1) First I'll give a brief introduction about docker & (2) then I'll build a docker image for a simple python app and then deploy it to my own computer, EC2, and Google cloud engine.
Torbjörn Einarsson
Target audience: Beginners
DASH is the new standard for HTML-5 video streaming to browsers. I'll describe a reference synthetic live test source that is available at http://vm2.dashif.org. It is a mod_python module which manipulates DASH manifests and media segments to provide an infinite wall-clock synchronized stream.
Ahmed Kachkach
This talk gives a quick overview of Python's capabilities as a data-processing and machine learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for classification and prediction tasks
Dain Nilsson
Target audience: Advanced users
Today's dominating two-factor authentication standard was invented long before the web; it's not secure nor usable enough. This led a group of IT-giants to develop the U2F open standard. We'll start by showing U2F in action, explain how it works and why it's needed, then add U2F to a Django application.
Daniele Sluijters
Target audience: Advanced users
Building tooling around Puppet, but in Python! People forget that even though a tool like Puppet is written in Ruby or PuppetDB in Clojure, as long as we have an API to talk to we can build anything we need by layering in some Python.
PyCon Sweden 2015 is arranged by Python Sverige, a registered nonprofit organization (SE Org. ID 802476-3792).
View the Code of Conduct for the conference
Python Sverige membership signup form (membership is free)
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The second PyCon Sweden will be a conference with 300 attendees, all sharing the passion for Python programming language. Two days of conference will be filled with world class speakers, both local and international, software engineers, system administrators, scientists, specialists, and other people who rely on the use of Python. The conference provides an unique setting to build connections between organizations and individuals in the Swedish Python scene.
For a sponsor PyCon Sweden 2015 makes it possible to stand out as a Python community supporter, to attract talent, and to make themselves known among other organizations using Python.
For more information, see our sponsorship page or contact sponsorship@pycon.se
General info: info@pycon.se
Sponsorship: sponsorship@pycon.se
Volunteering: volunteer@pycon.se