List of videos

"MSS - Software for planning research aircraft missions [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 1] [Rimini, Italy] http://www.geosci-model-dev.net/5/55/2012/ Scientific aircraft research flights have to be planned beforehand. For that it is necessary to have model forecasts of relevant quantities such as meteorological parameters, chemical composition or particle information to guide the aircraft to the location of interest. Typically, many scientific instruments on board those aircrafts used to investigate e.g. the chemical composition of the air in order to get new insights often with the involvement of different science groups. For discussion of the possibilites of the research flights, the Mission Support System (MSS) was developed (http://mss.rtfd.io). This software helps to review a big amount of metereological and model data by viewing the forecasted parameters of interest along possible regions of a proposed flight path. Data and possible flight paths can be displayed on a hoizontal view (map projection) or on a vertical view (along the proposed flight path). Flight paths can be constructed and modified on these views. Exchange through a waypoint table is also possible. The talk gives a brief insight into the MSS software development current state. We are using the OWS interface standard. https://geopython.github.io/OWSLib/ MSS is a client/server application. The QT client interacts with a paste wsgi server. The software is available for all platforms on conda-forge. 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://ep2017.europython.eu/en/speaker-release-agreement/

"Baby steps in short-text classification with python [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 1] [Rimini, Italy] This talk aims to provide an information about where and how one could start using simple text-classification models. Additionally it will be shown how a python classificator can be incorporated into existing system. The presentation will be broken into 3 topics and a conclusion. First, the presentation provides an overview of how the problem was approached, what information was useful or not and how the technologies stack shown in the second part was decided on. Second part will concentrate on using Naive Bayesian model for text classification. How the model was trained, what difficulties were met and how they were solved. Additionally the talk will give a brief overview of other possible model choices (random forest, SVM). The third part will show how the model was deployed and used in the production. One architecture solution will be shown in details (REST calls between Java Client and Flask Server), while other possibilities will be mentioned briefly. As the conclusion the possible improvements for the model in use will be suggested as well as short example of supervised learning algorithm (CNN) and unsupervised classification algorithm (LDA) for the same purpose. Along with the examples the proc and cons will be named. Technologies mentioned and used: Flask, Green Unicorn vs uWSGI, NLTK, Sci-Kit, Python 3, Java 8, Jersey, Docker, Kubernetes 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://ep2017.europython.eu/en/speaker-release-agreement/

"EPS General Assembly [EuroPython 2017 - EuroPython session - 2017-07-13 - PythonAnywhere Room] [Rimini, Italy] This is where the EuroPython Society (EPS) board gives its reports, resolutions are passed and the EPS members can vote in a new EPS board. 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://ep2017.europython.eu/en/speaker-release-agreement/

"EuroPython 2018: Help us build the next edition! [EuroPython 2017 - EuroPython session - 2017-07-13 - PythonAnywhere Room] [Rimini, Italy] We need help with organizing and running EuroPython 2018. In this session, we will explain how the EuroPython workgroup model works and where you could help. 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://ep2017.europython.eu/en/speaker-release-agreement/

"A faster Python? You Have These Choices [EuroPython 2017 - Talk - 2017-07-13 - Arengo] [Rimini, Italy] Python was never intended as a fast language but many modern uses of Python require high performance computing, particularly in data science. This talk explores your options for squeezing maximum performance out of critical Python code. This talk provides a succinct summary of the options you have: C extensions, Cython, CFFI, PyPy and many others. It also shows the trade-offs between execution performance and the cost of writing and maintaining code with each choice. Each option is also explored for maturity and ease of use for Python programmers. A real world programming problem is coded and benchmarked using each of these techniques. All the code used in the talk is available on GitHub. At the end of this talk you will be better place to decide on which technique to use to make your code run 100x faster. 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://ep2017.europython.eu/en/speaker-release-agreement/

"Declarative Thinking and Programming [EuroPython 2017 - Talk - 2017-07-13 - PyCharm Room] [Rimini, Italy] Declarative Programming is a programming paradigm that focuses on describing what should be computed in a problem domain without describing how it should be done. The talk starts by explaining differences between a declarative and imperative approach with the help of examples from everyday life. Having established a clear notion of declarative programming as well as pointed out some advantages, we transfer these concepts to programming in general. For example, the usage of control flow statements like loops over-determine the order of computation which impedes scalable execution as well as it often violates the single level of abstraction principle. Following the theoretical part of the talk, some practical examples are given how declarative programming can be applied easily within Python. This comprises the advantages and disadvantages of using a configuration file, e.g. config.yaml, versus a Python configuration module, e.g. setup.py. Furthermore, the benefits of avoiding statements of control flow with the help of list and dictionary comprehensions as well as sets are demonstrated. The talk is concluded by a short, high-level excursion to a logistic programming language, namely PyDatalog in order to build the bridge between logistic and declarative programming. This is accomplished by showing how a mathematical crossword can be easily solved with the help of declarative and logistic programming. 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://ep2017.europython.eu/en/speaker-release-agreement/

"A journey into Git internals with Python [EuroPython 2017 - Talk - 2017-07-13 - PythonAnywhere Room] [Rimini, Italy] Despite 12 years of history and wide popularity the workings of Git still remain largely a mystery for many. A lot of Git users operate it just by remembering a bunch of commands and repeating them in a correct order. I was one of them until I decided to dig deeper into how Git actually works and suddenly I understood that internally Git operates by rather simple principles and after you figure them out suddenly all those commands start to make sense. To look into the Git's internal structure you need a programming language to crunch the data and Python fit perfectly for this task. In this talk, I will dig into the internals of Git with Python, that will help you better understand how Git works. 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://ep2017.europython.eu/en/speaker-release-agreement/

"Community teaching practices [EuroPython 2017 - Panel - 2017-07-13 - PyCharm Room] [Rimini, Italy] In the last five years we saw many groups dedicated to teach people how to program but any volunteer that is going to start a new teaching group could have hundreds of questions related with concepts order, examples, exercises, libraries and text editor/IDE. Panellists will share their experience when teaching Python to newcomers from different backgrounds as part of their volunteer work for some organisations such as PyLadies, DjangoGirls, Code for Life, Software Carpentry, Data Carpentry, etc. Among the panellists we will have Mateusz Kuzak, from the Netherlands eScience Center and volunteer for Software Carpentry and Data Carpentry; Alice Harpole, from the University of Southampton; Celine Boudier, from Code for Life; Raniere Silva (as moderator), from the Software Sustainability Institute. All questions from the audience are welcomed. 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://ep2017.europython.eu/en/speaker-release-agreement/

"Dockerized pytests [EuroPython 2017 - Talk - 2017-07-13 - PyCharm Room] [Rimini, Italy] When working with pytest and custom plugins things can get eery when trying to mimic your Jenkins environment for debugging your tests locally, specially across your team and their workspaces. In this talk will go through the challenges faced to containerize a wild pytest environment. Topics: Running Pytest on Jenkins jobs Pytest custom plugins Challenges for locally debugging/replicating a Jenkins job/pytest run Dockerizing pytest and it's dependencies 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://ep2017.europython.eu/en/speaker-release-agreement/