List of videos

EuroPython 2022 - ShapePipe: A modular weak-lensing processing and analysis pipeline - presented by Samuel Farrens [Liffey Hall 1 on 2022-07-14] 1. Why would you want to listen to this talk? Cosmology is the study of the origin, evolution, structure and ultimate fate of the Universe. From the largest galaxies down to the smallest Python programmers our story begins with the *Big Bang* . The particles that make up all of things we can touch and see only account for 5% of the energy density of the Universe. Leaving us quite literally in the dark! Weak gravitational lensing, a barely perceptible change to the shape of *galaxies* that we observe, is an indispensable tool for understanding the nature of *dark matter* and *dark energy*. However, measuring the shape of galaxies to the precision required is actually quite a tricky problem. What could be more interesting? 2.What does this have to do with Python? Well, Python has steadily become the standard programming language for cosmologists over the last decade or so... and we are no exception! In this talk I will describe the tools we have developed in Python to help us solve some of the problems with measuring the shapes of galaxies and how various existing Python packages have made this possible. We hope that some of the things we have learned could be useful to other teams, in particular those developing scientific software. 3. Resources - ShapePipe Repository: https://github.com/CosmoStat/shapepipe - ShapePipe Documentation: (https://cosmostat.github.io/shapepipe/ - Slides: https://drive.google.com/file/d/1vQYCV1278oUvFzqGID6yhbQwwDyboCIv/view?usp=sharing This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - A Network Embeddings based Recommendation Model with multi-factor consideration - presented by ABHISHEK [Liffey Hall 1 on 2022-07-14] The method consists of three main steps: First, network embedding formulation performed on each user specific behavior network; Then, embeddings weight distribution estimated through intermediate layers of network with final layer for target (item purchased as labels); Finally, both factors: (a) Learned weights from implicit data (cross-domain) and (b) explicit factors from domain data used by multi-factorization method for recommendations. The proposed method transfers knowledge across implicit and explicit factors and associated dimensions. The suggested approach tested real-world data with evidence of outperforming existing algorithms with significant lift in recommendation accuracy. Empirical experimentation outcomes illustrate the potential of both factors for making effective recommendations. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - PyArrow and the future of data analytics - presented by Alessandro Molina [Liffey Hall 1 on 2022-07-14] In this talk we will introduce PyArrow and talk bout the transformation that the Arrow format is allowing in the Data Analytics world. PyArrow provides an in-memory format, a disk format, a network exchange protocol, a dataframe library and a query engine all integrated in a single library. But the Arrow ecosystem doesn't stop there and allows you to work integrating multiple different technologies. It can be a swiss army knife for data engineers and it integrates zero cost with NumPy and Pandas in many cases." This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - Correlating messy data with ""correlate"" - presented by Larry Hastings [Liffey B on 2022-07-14] Data correlation! What could be more computer science-y! Ever needed to find matching items between two sets of data? Maybe even messy real-world data, with inexact string matches? Come find out how the novel scoring algorithm and clever heuristics at the heart of **correlate** solve this problem with ease!" This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - Lint All the Things! - presented by Luke Lee [Liffey B on 2022-07-14] Many teams document the conventions for their projects. However, documentation gets out of date, forgotten, or sometimes ignored. Simple documentation requires team members to constantly remember all the ‘rules’ for your project. You can better enforce those rules and free up your team members to think about harder problems using linting tools like flake8, import linter, and pre-commit. These tools provide tons of useful stuff out of the box, but you can push them so much further with customization. This allows your project to formally document conventions, but also enforce them automatically on every commit, merge, and build. This can make code reviews faster and more focused on the problems your code is meant to solve. This talk will introduce tools like flake8, import linter, and pre-commit along with some of their built-in functionality. Then, we’ll briefly explore some ways to customize them to fit your projects’ specific needs. Some examples of custom linter rules we’ll tour are: - Code formatted automatically and uniformly - Code doesn’t import across architecture layers violating separation of concerns - Common conventions are used - Common anti-patterns are avoided - Specific layers are fully tested - Proper git commit message formatting - Merge commits don’t exist in topic/feature branches Finally, we’ll discuss ways to use those custom linter rules on every commit, merge, and build with continuous integration or git hooks. By the end of the talk, you’ll see several real-world linter rules used on Kraken, which is a large Django-based project used to supply green energy to millions of users across the world. In addition, expect no shortage of ideas for your own projects along the way!" This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - Lessons learnt from building my own library - presented by Stephanos [Liffey B on 2022-07-14] This talk is about all the mistakes that I made while building a library, how I would have avoided making them if I started today, what turns I would have taken differently, what choices I made, and why I made them. Examples are drawn from the building of a specific library, but it's not about a specific one. The aim is to give some insights more into how to make choices when building a library available to the world, and less on the specific set of choices that I made. It will not be technically challenging, but some familiarity with the Python ecosystem is advised." This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - Revolutionizing Education: How Python is Essential Beyond Computer Science - presented by Srivatsa Kundurthy [Liffey B on 2022-07-14] Introduction and Motivation: The goal of many within the Python community has been to increase the reach of computer science education in classrooms and institutions around the world. Various studies have pointed out the problem-solving and planning abilities forged by computer science coursework (Salehi et al., 2020; Arfé et al., 2020), and other research has investigated the social stigma (McCartney et al., 2017) and instructor bottlenecks (Raman et al., 2015) that inhibit accessibility to computer science courses. In recent years, significant steps have been taken towards increasing computer science education. However, most of these efforts are largely focused on the introduction of standalone computer science courses rather than integrated coursework. In this talk, we explore the seldom-discussed idea of integrating programming into traditional, non-computing fields such as mathematics, social studies, and science. Interdisciplinary coursework is not a new concept in education: students in an English class are expected to be able to understand, produce, and analyze data visualizations, and mathematics students learn to communicate their work formally in language (Lynch, 2020). However, the current belief in the education realm is that computer science is only for a small sect of highly capable students expressing a deep career interest in the field, a clear misconception that has been debunked by studies (Patitsas et al., 2019) and the experiences of countless professionals applying computational resources in traditionally non-computing industries. As a result of such factors, computer science education is fundamentally isolated from the core curriculum, which is to the detriment of learners and the fields that they pursue. In support of the discussion, we unveil the results of surveys given to physics students enrolled in college-level coursework. In this case-study, students of varied backgrounds in computing are given a lecture on chaotic dynamical systems, and are then shown Python-implemented Runge-Kutta numerical integration methods and simulations to solve and visualize the systems. The insights provided by these students provide great perspective on benefits, reception, and nuances in integrating Python into core classes. Overwhelmingly, many indicated that they believed that the Python demonstrations aided in their understanding of the material. For the attendee, this exclusive look at a case-study will help develop a well-informed perspective on the role of Python beyond just computer science. We conclude the presentation with recommendations for integrated Python coursework, calling for global policymakers and Python community members to step forward and do their part as stakeholders. We pinpoint why Python is the best choice, touching on factors such as its readable syntax, high volume of functional open-source libraries, ever-growing industry demand. The versatility afforded by such elements makes learners of all backgrounds better equipped for solving the challenging problems they will face in their careers. Community members in attendance will gain essential knowledge regarding the issue of Python integration, making them better equipped to argue on behalf of the educational community. For students, seeing how complex differential equations can be numerically approached and solved by computers, understanding how new solar systems are discovered by crunching vast astronomical data, and witnessing a computer rapidly sequence a lengthy DNA chain forges an instant, permanent connection that fosters career interests and prepares students for an increasingly computerized professional world. We seek to advocate for every student to have this opportunity. The key takeaway for talk attendees will be a fresh perspective on the issue of Python’s absence beyond the confines of computer science coursework, as well as methods for mitigation and steps that they can take. Changing education with programming is a long-term investment that will unequivocally accelerate student preparedness and capabilities, but it begins with the focused efforts of an informed public rallying in support of progress. Schedule and Format: 5 minutes: The problem of computer science in education and why we should focus on increasing Python’s role in non-computing classes 10 minutes: Presenting research: a case study on introducing scientific Python to physics students 5 minutes: Why Python is the best option and the role and impact on the Python community 5 minutes: Proposals for Solutions to the Problem 5 minutes: Question and Answer Session" This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - Creating the Next Generation of Billionaires - Part 4 - presented by Lilian [Liffey B on 2022-07-14] Our generation of young people in school (aged 5-18) have noticed the connection between Computer pRogramming, Technology, Bitcoinism Success, Climate Change and Billionaires. On mass young people are clamouring to master the skill of Computer pRogramming. It has been dubbed the ‘4th’ R’ (computer pRogramming) along with Reading, wRiting and aRithmetic. So, governments worldwide have launched initiatives to have it taught in schools from Kindergarten to all the way to high school. And now young people are successfully mastering this skill. This talk will describe a case study whereby Computer Programming (Python) was introduced for the first time to a group of young people and how the young people are using it to explore and understand real world problems and data such as those relating to climate change, world population growth and carbon dioxide emissions with Python visualisation libraries such as Matplotlib, Numpy and Pandas. We will talk about the joys and challenges and discoveries made by the young people. We will conclude with suggestions on how to proceed in this area." This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/

EuroPython 2022 - Developers Documentation: your secret weapon - presented by Frédéric Harper [Liffey B on 2022-07-14] You can have the best product in your expertise area, but if your documentation isn’t on par with the flawless experience you want to offer to the world, success is not guaranteed. Let’s be real here: documentation is often an afterthought and rarely included in life cycle development processes. Still, documentation is the secret weapon for greater adoption, and growth that you may have not known you could achieve. It’s time for you to step up your game and measure up to the big players. Learn about the benefits of high quality and educational documentation and the true role it plays in the developer community. You’ll also learn the principles of a solid foundation, and tips on how to use one of the most powerful developer relations’ tools. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/