List of videos

"Opt Out of Online Sexism – Open Source Activism [EuroPython 2019 - Talk - 2019-07-10 - PyCharm] [Basel, CH] By Teresa Ingram ""Although people of all genders can experience violence and abuse online, the abuse experienced by women is often sexist or misogynistic in nature, and online threats of violence against women are often sexualized and include specific references to women’s bodies. "" - Amnesty International. This abuse pushes women offline, affecting their social well-being, representation and economic potential. In this talk I will discuss how we plan to help resolve this with our browser extension, Opt Out. I will discuss the online global tragedy that is online sexual harassment, our idea and where we’re at with current implementation. I will also talk about what it’s like to build an open source activism project, one which aims to be lead by the community it’s trying to protect. We will cover current research and results from our own engagement with the community, where the idea came from and challenges we have faced and plan to face in the future. I will also dive into the intricate world of natural language processing (NLP) for online harassment and talk about balancing state-of-the-art data science with web development in an open source community, one being managed by someone relatively new to tech. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"PyRun - Shipping the Python 3.7 runtime in just 4.8MB [EuroPython 2019 - Talk - 2019-07-10 - Shanghai] [Basel, CH] By Marc-Andre Lemburg Python has become the defacto standard tool for many people to write tools, command scripts, smaller applications and even large applications. On Windows, it is fairly easy to build application bundles using e.g. py2exe, but on Unix, the situation is less obvious, unless you want to rely on OS specific Python distributions, which often require severall 100MB with of installation on the system and are usually customized in distribution specific ways. Instead of relying on OS installed Python distributions on Unix, our open-source eGenix PyRun provides a more or less complete Python runtime (interpreter and stdlib modules) in a single file, which can be ""installed"" by simply copying the binary to the destination system. The file can be as small as 4.8MB for Python 3.7, by using compressors such as upx. Due to its size, it's also the perfect Python distribution for Docker containers. The talk will show how PyRun works, is built, how to customize it to include additional modules and applications. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Python for realtime audio processing in a live music context [EuroPython 2019 - Talk - 2019-07-10 - MongoDB [PyData track] [Basel, CH] By Matthieu Amiguet At Les Chemins de Traverse we explore ways of ""augmenting"" acoustical musical instruments with new sonic possibilities offered by computers. For doing so, we need ultra-low latency real-time audio processing programs. Pretty much the typical situation where python should emnot/em be used, right? Wrong. As it happens, that's exactly what we've been doing for the past few years. Building on Olivier Belanger's wonderful pyo module and (ab)using python's flexibility, we developed custom software to allow us to express our musical ideas. If you want to hear how it sounds, you should go to Europython's social event that will feature a gig based on python-augmented (!) instruments. And if you want to know how we came to use python in this context and how we do it, you should come to this talk! License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Accelerate your Deep Learning Inferencing with the Intel® DL Boost technology [EuroPython 2019 - Talk - 2019-07-10 - Boston] [Basel, CH] By Shailen Sobhee Learn about Intel® Deep Learning Boost, also known as Vector Neural Network Instructions (VNNI), a new set of AVX-512 instructions, that are designed to deliver significantly more efficient Deep Learning (Inference) acceleration. Through this technology, I will show you how you can perform low-precision (INT8) inference much faster on hardware that support the VNNI instruction set (for example, the 2nd generation Intel Xeon Scalable processors, codenamed, Cascade Lake). In the live Jupyter notebook session, you can will be able to see the benefits of this new hardware technology. Note: This is an advanced talk. Knowledge about Deep Learning, Inferencing and basic awareness of hardware instruction sets would be desirable. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/ "

"Geospatial Analysis using Python and JupyterHub [EuroPython 2019 - Talk - 2019-07-10 - Singapore [PyData track] [Basel, CH] By Martin Christen Geospatial data is data containing a spatial component – describing objects with a reference to the planet's surface. This data usually consists of a spatial component, of various attributes, and sometimes of a time reference (where, what, and when). Efficient processing and visualization of small to large-scale spatial data is a challenging task. This talk describes how to process and visualize geospatial vector and raster data using Python and the Jupyter Notebook. To process the data a high performance computer with 4 GPUS (NVidia Tesla V100), 192 GB RAM, 44 CPU Cores is used to run JupyterHub. There are numerous modules available which help using geospatial data in using low- and high-level interfaces, which are shown in this presentation. In addition, it is shown how to use deep learning for raster analysis using the high performance GPUs and several deep learning frameworks. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Python's Parallel Programming Possibilities - 4 levels of concurrency [EuroPython 2019 - Talk - 2019-07-10 - Boston] [Basel, CH] By Samuel Colvin I'm going to talk about the 4 main levels of parallelism in modern Computing: multiple (virtual) machines multiple processes multiple threads multiple green threads, aka asyncio Why you might use each of them, how to go about doing so with python and some of the pitfalls you might fall into along the way. To do so, I'll give short examples in code of achieving each level: leveraging multiple hosts using RQ, and also the possibility of RPC with HTTP multiprocessing and threading using their respective modules from the python standard library asyncio demonstrated with AIOHTTP That sounds great, but there are ""gotchas"" you should know about before you get started, for example: multiple machines can actually be multiple virtual machines on the same host effectively communicating between processes is hard, how can we go about making it easier? the limitations of threading and the GIL runemin/emexecutor - do we ever really need to use multiprocessing or threading directly again use of asyncio when dealing with both networking between hosts and between processes - you end up using two different kinds of concurrency at the same time. That can be confusing, but also awesome. I'll finish of by showcasing a library I built, arq which is a job queueing and RPC library for python which uses asyncio and Redis. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/ "

"Unleash the power of C++ in Python [EuroPython 2019 - Talk - 2019-07-10 - Shanghai] [Basel, CH] By Cristián Maureira-Fredes One of the main Python aspects is to have a clear syntax and be an easy-to-understand language, which compared to others like C++ (depending of the kindness of the developer) can make a huge difference. Not only the readability is in play, having a dynamically typed and interpreted language improves the development workflow. This improvement comes with a cost, performance. In most of the cases, a raw comparison of simple routines will leave Python behind, but there is a partial solution to this problem, connecting a powerful performant C++ library with the simplicity of Python. In this talk, we will go through the process of generating language bindings to allow you to take any amazing C or C++ project and bring it to Python land. We will briefly discuss one of the many success stories, and we will analyze how the Qt project managed to expose its whole framework to Python, with the help of a self-made binding generator called Shiboken. After the talk, you will be able to decide which option is better for the projects you have in mind, and with a bit of luck you will be responsible of exposing the next popular C++ library that makes the life of us all Pythonistas easier. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Publish a (Perfect) Python Package on PyPI [EuroPython 2019 - Talk - 2019-07-10 - Shanghai] [Basel, CH] By Mark Smith Always wanted to publish a package on PyPI, but didn't know where to start? This talk is for you! Starting with nothing, we'll build a package and publish it on PyPI using current best practices. Learn how to structure your project and your code. Discover what goes in your coderequirements.txt/code and your codesetup.py/code. Ensure your code will work in different on different platforms! Document your code so people won't ask you loads of questions! Finally, learn how avoid doing any of this yourself. This talk will cover: Why should you package your code for PyPI? How to structure your project and your code, including why you need a codesrc/code folder! Discover what goes in your codePipfile/code and your codesetup.py/code, and why. Learn the difference between installing your library to use it, and installing it to develop on it. Write tests for your project, and run them using Tox. Ensure your code will work in different on different platforms with Continuous Integration! Document your code so people won't ask you loads of questions! How to actually get your code on PyPI using Twine. Finally, learn how avoid doing any of this yourself (or avoid doing it twice) using CookieCutter templates. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

"Teaching Programming to the Next Generation [EuroPython 2019 - Talk - 2019-07-10 - Boston] [Basel, CH] By Lilian Nandi anonymous Our generation of young people in school (aged 5-18) have noticed the connection between Computer pRogramming, Technology & Success and Billionaires.On mass they are clamoring to master the skill of Computer pRogramming. We describe a successful working model for the teaching of Computer pRogamming. Computer Science is now regarded as one of the leading disciplines in the 21st century. Computers are ubiquitous and prevalent in most, if not all, sectors of our modern society – applications include using them in weather forecasting, robotic surgery, space exploration, e-commerce, smart cities, driverless cars, etc. Therefore, coding or computer programming is now regarded by many as an essential skill for the young person, and it has been dubbed the ‘4th’ R’ (computer pRogramming) along with Reading, wRiting and aRithmetic. In recognition of the new status of computer programming, governments worldwide have launched initiatives to have it taught in schools from Kindergarten through to junior school and all the way through secondary school. So, the question emerges is how do we best teach and motivate the next generation in acquiring this skill? Given the fact that this field is very much in its infancy, there are insufficient number of skilled Computer Science teachers and very little pedagogy to guide the educator. Therefore, the whole world is learning how best to teach this subject by trial and error. The talk will describe a case study whereby coding/computer programming, in the form of Python programming, 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. The talk will conclude with helpful suggestions, based on the findings of the case study, on how to proceed with the teaching of computer programming to these people. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/ "