List of videos

"Pythonic JavaScript for Web Developers [EuroPython 2017 - Talk - 2017-07-12 - PythonAnywhere Room] [Rimini, Italy] Having a basic knowledge of JavaScript is obligatory for every Web developer in todays world. Most of us are familiar with the pain of having to write some simple hide/show logic and ajax queries with jQuery on a page that is mostly rendered server-side. Nowadays, however, there are lots of great JavaScript frameworks and build tools that not only make these things very easy to do The Right Way, but also make the whole process quite painless. I spent past year in a small startup writing only front-end code and evaluating different tools and best practises. Bringing these tools to old Django projects has been eye-opening. There are practically no documentation or code examples on how to integrate these things to Python backend projects, so it’s very hard to get started from scratch. In this talk we’ll go trough some of the tools, examples on how to get started, and also some coding guidelines on how to make JavaScript look and feel more sane and Pythonic. The current state of JavaScript frameworks is notoriously bad; there are more of them than blog engines written with Django. We’ll focus on Vue.js (https://vuejs.org) which is a lightweight, very easy to get started and yet powerful tool. We’ll also take a look at new end-to-end browser test tools and modern build tools that enable us to take full advantage of the huge NPM package universe (Cheeseshop for JS) and write modern ES2015/ES2016 JavaScript that has more powerful and cleaner syntax. 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/

"The joy of PyPy JIT: abstractions for free [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 2] [Rimini, Italy] The joy of PyPy JIT: abstractions for free The PyPy JIT is a powerful piece of technology which makes Python program running faster: in this talk, we will see how it helps us to write our programs better without sacrificing performance. One of the key to write complex software systems of good quality is to make a good usage of abstractions, to clearly separate the various layers and components. However, often each layer of abstraction adds some cost in terms of runtime performance, so we need to struggle finding the best trade-off between maintainability and speed. Because of the way it works, the PyPy JIT naturally removes the cost of most abstractions: we will look at real-life examples of how this is possible, showing what the JIT can and can't do. We will also show how this compares to other popular systems of optimizing Python code, such as Cython. 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/

"PyCharm tips and tricks [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 2] [Rimini, Italy] PyCharm, a Python IDE with its free and open-source community edition, in last several years has become a tool of choice for more and more Python developers. But not everybody uses its full power. Moreover, most only use a fraction of the functionality it provides. The reality is that an IDE is not just about a set of integrated tools, but an environment that understands the semantics of your project, of what you’re doing. It can leverage this to provide you with functionality that can make repetitive mundane tasks become frictionless, as well as give insight into potential problems. In this session, we will go through the most powerful features the IDE offers and whether you do web development or work with data using Python, you will benefit knowing how the IDE can leverage your programming skills. 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/

"Writing code? Pfft... Evolve it instead! [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 2] [Rimini, Italy] We're heading into a future of delivery drones, driverless cars and 3D-printed ""hoverboards"" ... With machines now able to perform many tasks better than humans, some people are going to be out of a job. But not software developers, right?! Could a computer generate the code you currently write for a living? In this talk, we'll take a look at one of the many biologically inspired approaches to AI - Genetic Algorithms, and how they can be used to generate code given a description of the function that that code should perform. Spoiler - you're probably not out of a job, yet... 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/

"Fast Python! Coding competitions with CPython and PyPy [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 2] [Rimini, Italy] In a coding competition you want to solve problems ""fast""... why would you choose a ""slow"" interpreted language like Python? Because the ""slow"" Python wins competitions more often that most people think. We will show how coding competitions work, what are the resources and constraints that competitors need to take into account, and we will find out that, like very often in real life, the actual processing time is only a small term in the complex equation that describe a competition. The ""faster"" PyPy may help in gaining raw speed, but that is not the real advantage it gives you in a competition. 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/

"Call a C API from Python becomes more enjoyable with CFFI [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 2] [Rimini, Italy] Python is slow ! Python can’t access bare metal! You often hear theses assumptions? Theses limitations can be surpassed by Python extensions written in C. However, according to my personal experience, doing this by leveraging C may yield to several issues (e.g., memory management). C Foreign Function Interface for Python (a.k.a., CFFI) allows you to easily write Python extensions. One of the main aims of CFFI is to to wrap C libraries. Along the same lines, it may also be used for performance enhancement. By this call, I am firstly presenting CFFI and it’s two modes of utilization: API level and ABI level. Then I will share my own experience about wrapping shaderc library (https://github.com/google/shaderc) in six hours pyshaderc (https://github.com/realitix/pyshaderc). Next we are going to the next level, let’s wrap all the Vulkan API! Vulkan is the new 3D API and is not a piece of cake. To see the real advantage of CFFI, a side by side comparison between two Python modules is going to be presented: CVulkan is a Vulkan wrapper written fully in C, it’s a classic C extension for Python vulkan is its CFFI counterpart without any C written, only Python I have developed two versions of Vulkan wrapper (one in a pure C, and the second by leveraging CFFI) and I can assure you that CFFI is a a way better! Let’s code! 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/

"If Ethics is not None [EuroPython 2017 - Keynote - 2017-07-12 - Anfiteatro 2] [Rimini, Italy] The history of computing, as it's often covered in textbooks or talks, remains primarily focused on a series of hardware advancements, architectures, operating systems and software. In this talk, we will instead explore the history of ethics in computing, touching on the early days of computers in warfare and science, leading up to ethical issues today such as Artificial Intelligence and privacy regulation. 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/

"Automating Instagram with Python and Selenium [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 1] [Rimini, Italy] In this talk about using Selenium and Python for social media automation you will get some insights into growing your own open source projects into tools that really get used and maintained by a community. You will get an idea of what pitfalls you have to face when working with something as fast changing as Instagram and how to best tackle this. You'll learn what the ""Page Object"" design pattern is, what it is useful for and why we use it. Of course we will also talk about OpenSource and why it's important. A lot of the talk will be based on my article on InstaPy published at the freeCodeCamp publication on Medium: https://medium.freecodecamp.com/my-open-source-instagram-bot-got-me-2-500-real-followers-for-5-in-server-costs-e40491358340 So, who is this talk suited for? If you're just starting out with python, are interested in automation or simply like to see a fun and interesting little open source project, I'd love to see you at my talk and hear your ideas and opinions about it. 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 Gentle Introduction to Data Science [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 1] [Rimini, Italy] This introductory talk, will cover the basics of datascience. From the incluence of artificial intelligence, and the quest to replicate a human mind, to a practical demo on how to build a hello world machine learning in Python. The talk will try to answer questions such as: What do we understand by data science? What do we know about the human mind, that can be an inspiration for our programs? Which problems can we solve with data science? What tools are available to do data science in Python? 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/