PyConES 2018
| title | author | length |
|---|---|---|
| We Attend the Spanish Python Community Conference | 02m | |
A three-day PyConES conference where Python professionals and enthusiasts present technical sessions sharing experience across web development, business… | ||
| Gradual Typing in Python | David Barragán | 23m |
Gradual typing combines static and dynamic typing so you can choose which parts of Python use compile-time vs runtime type checks. The talk explains Type Hints… | ||
| Python Heaps-ters | Víctor Terrón | 25m |
Introduces Python's heapq module and demonstrates practical uses of heaps beyond the basic priority-queue example, explaining how heaps let you access the… | ||
| Why and When to Use Wagtail? | Federico Mon | 30m |
Wagtail is a Django-based content management system and the talk explains why a non-blog business might use it, using the ticketing platform Ticketea as a case… | ||
| Build your static site with Python | Fernando Rabanal | 26m |
Shows how to create a complete static site from a few commands and three or four lines of Python tooling, using MKDocs, Pelican, and Nikola to render… | ||
| Designing APIs with Flask | Sara Iris Garcia | 26m |
Covers building APIs in Python using the lightweight Flask microframework and the Requests library, explaining Flask basics and its request lifecycle… | ||
| Flask, a Small Great Hero | Maribel Tirados | 21m |
An introduction to Flask, the lightweight Python web microframework, explaining how to build a small web app with only a few lines of code. The talk presents… | ||
| Time to Take Out the Trash: garbage collector | Pablo Galindo, Víctor Terrón | 25m |
Explains how Python manages memory using reference counting plus a generational garbage collector, and why understanding this matters for programs that handle… | ||
| List me your virtues | Maite Giménez | 20m |
Explains how Python lists are implemented in CPython: memory allocation and resizing strategies for efficient appends, how lists can hold mixed data types, and… | ||
| New Generation of APIs with API Star | José Antonio Perdiguero | 21m |
API Star uses modern Python features — async/await, asyncio, and the typing module — to build APIs that are more expressive, easier to test, and can generate… | ||
| Python & gRPC, the Conqueror of Microservices | Esteban Dorado | 24m |
A practical introduction to building microservices with Python using gRPC, Protocol Buffers and HTTP/2 as the API stack. It explains how to develop… | ||
| Web Scraping for Beginners | Sara Rodríguez | 19m |
Introduces web scraping using Python tools: teaches Beautiful Soup for parsing HTML into structured tables, and gives an introductory look at Selenium for… | ||
| Taking Django Async | Andrew Godwin | 27m |
Channels 2.0 is a 75% rewrite that runs on Python 3.5+ and moves from multi‑process Redis plumbing to a single process that can optionally use Redis for… | ||
| Multitenant, the Hell of Migrations | Xavier Gil | 21m |
A team using Django Tenants Schemas faced very slow migrations across over 3,000 schemas during a major data-structure change, so they modified the migration… | ||
| Microservices: the small print | Mar Bartolomé | 18m |
Compares a Django monolith versus a simple microservices split for a task manager API (users, tasks, invoices with three JSON endpoints), demonstrating… | ||
| Machine Learning in Cardiology | Víctor Vicente | 20m |
A data scientist describes introducing machine learning into a Spanish public hospital cardiology department, breaking from traditional clinical research… | ||
| FaaS with No Strings Attache | Unai Pastor | 23m |
Explains the Functions-as-a-Service (FaaS) pattern: what FaaS offers (automatic scaling, cost savings when idle) and its drawbacks (large infrastructure needs… | ||
| Instrument Your App with Prometheus | Agustín Herranz | 24m |
Introduces Prometheus and its Python client for adding observability to applications. Explains why visibility and observability matter, types of… | ||
| Pipenv: New Package Dependency Management System for Python | Andreu Vallbona | 24m |
Pipenv, created by Kenneth Reitz, is presented as the officially recommended tool for managing Python package dependencies. The talk explains what problems… | ||
| Project templates with Cookiecuter | Héctor Canto | 28m |
Shows how to turn a live repo into a reusable template with Cookiecutter, using cookiecutter.json to validate variables and Jinja variables to render filenames… | ||
| Replacing Makefiles with Python and Luigi | Javier Torres | 16m |
Luigi is used at CARTO to manage data ingestion pipelines; the talk introduces Luigi and discusses practical pros and cons not covered in the manual. It shares… | ||
| Twelve Factor App | F. José Fernández | 24m |
Describes the Twelve-Factor App methodology for building web applications and services to work well with container and self-managed cluster platforms (Heroku… | ||
| Man walked on the moon, but thanks to the woman | Teresa de la Torre | 25m |
This talk reviews the overlooked role of women in technology, explaining that early programmers were women and examining why women are now underrepresented in… | ||
| Oh You Who Enter, Abandon All Hope | Pablo Galindo | 27m |
Explains how programming languages are implemented with a focus on Python and CPython: syntax, grammar, and abstract syntax trees (ASTs). Shows practical… | ||
| The Bad Guys in AI: Attacking Machine Learning Systems | Alicia Pérez, Javier Ordóñez | 24m |
Introduces generative adversarial networks (GANs), explains how GANs can learn to imitate and fool deep neural networks, and shows why that creates… | ||
| Learn to Teach, Teaching You Will Learn | Irene Pérez | 20m |
Shares lessons learned from teaching programming, especially to children and teenagers, and describes concrete tools and examples used to teach Python or to… | ||
| Song Recommendation Using Fourier | Carlos Perales | 22m |
Uses audio signals' frequency content to find and cluster similar songs without Spotify's metadata. It converts time-series audio into frequency-domain… | ||
| YADLRetina: Yet Another Deep Learning Retina | Rubén Crespo | 24m |
Models convolutional neural networks (CNNs) implemented in TensorFlow and Keras to predict spike-response patterns of mouse retinal ganglion cells (individuals… | ||
| Everything is a Python module | Salvador de la Puente | 23m |
Explains how Python's import system can be customized so non-Python files act like modules — for example importing a JSON file with import config or exposing… | ||
| Python, Pandas and other animals to survive in the data jungle | Marta Rivera | 24m |
Claims an unsupervised clustering of hundreds of market features to define regime types, then trains a supervised detector to label each trading day… | ||
| Mocking of mocks. A deep dive into the mock module | Mario Corchero | 23m |
An in-depth look at Python’s mock module, explaining how to create and use mock objects for testing. Covers techniques for nesting and composing mocks, common… | ||
| Predicting Air Pollution in Madrid: The Process | Maria Medina | 28m |
Describes building predictive models for NO2 air pollution in Madrid using Python: collecting open data, selecting optimal variables, and iteratively creating… | ||
| Hacking Reinforcement Learning | Guillem Duran | 26m |
Presents a family of planning algorithms that produce high-quality reinforcement-learning datasets and can achieve superhuman scores with low compute… | ||
| And Today... What Do We Watch? Analyzing Movie Reviews with Python | Rafa Haro | 35m |
Shows how to build a simple movie/series profiler in Python by scraping user reviews from sites like IMDb and FilmAffinity and applying Natural Language… | ||
| A Drone Flew Over the Python's Nest | Mar Bartolomé | 23m |
A project showing how Python ties together a drone, a Raspberry Pi, a night-vision camera and a Flask web app to enable fully remote control of the drone from… | ||
| GIL: Everything You Wanted to Know and Were Afraid to Ask | Jesús Cea | 28m |
Explains how Python's Global Interpreter Lock (GIL) works, when execution switches between threads, and the performance costs of operating with the GIL (both… | ||
| Testing Python Security | Jose Manuel Ortega | 26m |
Examples include concrete exploits: eval/exec and subprocess misuse lets attacker-import modules and run shell commands; pickle enables arbitrary code… | ||
| Discovering the mysteries of the universe with Python | María Camila Remolina-Gutiérrez | 22m |
Shows how Python and astronomy-focused Python libraries and frameworks are used in computational astrophysics to solve real research problems, with concrete… | ||
| Hunting Exoplanets by Direct Imaging with Python | Carlos Alberto Gomez | 23m |
Describes methods for direct imaging of exoplanets, explaining how adaptive optics and coronagraphy plus specialized image-processing algorithms enable… | ||
| Python Helping to Save the Whales | Daniel Domene | 22m |
Researchers develop biodegradable potato-starch biopolymers to replace conventional plastic packaging and characterize those materials using Python. The talk… | ||
| Route Optimization Engine for the Real World | Josema Camacho, Alberto Asuero | 20m |
A routing optimization engine for real-world vehicle routing (waste collection, deliveries) that handles many constraints (time windows, driver shifts, vehicle… | ||
| Keynote | Héctor Socas Navarro | 55m |
A senior astrophysicist with a 1999 PhD from Universidad de La Laguna and award-winning thesis discusses a career in solar and astronomical instrumentation… | ||
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