Introduction to Neural Networks with PyTorch

In this session, we’ll delve into the fundamentals of deep learning, explore the basics of PyTorch, and learn how to create and train simple neural networks. You won’t need a GPU to run the code from the workshop. All you’ll need is a computer with Python, PyTorch, and Jupyter installed.

Python, PyTorch, Jupyter, Matplotlib.

Quantum Computing for Everyone

Quantum computing stands at the forefront of the next technological revolution, offering promises to solve problems beyond the reach of classical computers. This workshop aims to demystify the complex world of quantum computing, making it accessible to a broad audience, including students, professionals, and enthusiasts with varying levels of expertise in physics and computer science. We begin with a gentle introduction to the fundamental principles of quantum computing and key concepts such as superposition, entanglement, and quantum gates. Moving beyond theory, the focus will shift to practical aspects with an introduction to Qibo, a new open-source framework designed for quantum simulation and experimentation. Qibo provides an intuitive platform for implementing quantum algorithms, making it an ideal tool for both beginners and experienced researchers. The highlight of the talk will be live demonstrations using Qibo. These demos will showcase how to set up a quantum environment, create simple quantum circuits, and run basic quantum algorithms.

To have the qibo package installed.

Automating networks with Nornir

In this workshop, we will leverage the Nornir Python framework to automate a network environment (but it could be applied to other infrastructure) in a multi-threaded way. We will also leverage other networking-related libraries such as NAPALM and Netmiko.

Introduction to Artificial [Emotional] Intelligence: Decode emotions with Deep Learning and Facial Recognition

One of the most interesting applications of artificial intelligence is Deep Learning, which involves using unstructured data such as images or text in conjunction with mathematical algorithms to create predictive models that will help us make more accurate decisions and enhance our analytical capabilities.

Quantum Breakthrough: From Basic Quantum Algorithms to Quantum Generative AI

Recently, IBM has announced free access to quantum computers with 100+ qubits. Does it mean that soon anybody will be able to easily crack passwords, hack banking systems and extract government secrets? At this workshop, we’ll discuss the pros and potential hurdles of quantum algorithms, as well as look at possibilities of making money with quantum technologies (and Python) - but without breaking the law: from risk assessment to option pricing.

Numpy, Scipy, Matplotlib, PyTorch, Qiskit

Python Packaging 101

Have you ever wondered how does the pip install the packages? Would you like to know how to create your very own python package? In this workshop, we will go through on all the necessary steps to get started on creating python packages and uploading them to the Python Packaging Index (PyPI).

Laptop with latest Python version available and git installed

Creating Virtual Worlds: Generating Synthetic Data for AI Digital Twins

In the era of digital transformation, the concept of “Digital Twins” has emerged as a powerful tool for simulating, predicting, and optimizing real-world systems. At the heart of these digital replicas lies data, and often, the challenge is to have enough high-quality data to train robust AI models. This is where synthetic data generation comes into play. In this workshop, participants will be introduced to the world of synthetic data generation and its pivotal role in enabling AI-based digital twins. We will delve into the challenges of real-world data, the need for synthetic data, and the methodologies to generate it using Python

Creación de APIs con Python y manejo de datos

Implementación de APIs con Python, para poder realizar peticiones http e intercambio de información entre aplicaciones y automatizar tareas

Python 3.8 or above, VSCode or some similar IDE, FastApi and uvicorn libraries

Create a personal website with sphinx

Personal websites are becoming more common, and there are countless alternatives to create them. Sphinx might often not make that list, but it can do everything we need, and most python projects use it for their documentation, so it won’t require you to learn any new tool.

Lightning talks (session 1) & Coffee break

Lightning talks

Welcome to the 'Data Visualization using Python in Blender' adventure – where your data turns into a magic carpet ride through enchanted forests and talking teapots! Just like a certain enchanted rose or a friendly blue genie, we'll use Python scripting in Blender to bring your data to life in whimsical 3D visualizations, animated charts, and interactive scenes that would make any animated teapot dance with joy!

ChatGPT has taken the world by storm. Self-proclaimed futurists such as Chamath Palihapitiya have predicted the disruption of many multi-million dollar companies as a result. The role of data scientists, as a result, will be diminished if a machine can understand unstructured text.

We will present the PyCamp 2024 event that will take place in Girona next spring.

Gain a profound understanding of the ethical dimensions in data-driven systems, focusing on algorithmic fairness. Discover how to implement fairness principles to promote just and equitable outcomes in your software projects.

OS LLMs (falcon, lama, mistral,…) can be challenging to deploy for production, but they are not! We will deploy lince-zero (fine tune of falcon7b by clibrain) in AWS SageMaker in 3 minutes from sage maker studio notebooks with python!

Retrieval Augmented Generation from scratch

In this workshop, I will focus on how to build a Retrieval Augmented Generation model from scratch using Postgres pg_vector for efficient similarity search and Hugging Face Transformers for generating human-like text. This workshop is aimed at data scientists, NLP practitioners, and engineers interested in cutting-edge NLP techniques.

Python, Docker

Mojo: El poderoso aliado de Python

En este workshop, te invitamos a explorar las virtudes de Mojo (https://www.modular.com/mojo), un nuevo lenguaje de programación que pretende ser un aliado de Python. Mojo aspira a ofrecer todas las funcionalidades de Python, y va más allá, al incorporar características adicionales que le permiten alcanzar un rendimiento superior.

Mob programming: Solving coding problems collaboratively

Coding together is much more fun than coding alone! In this workshop we will learn from each other by solving a basic coding problem using mob programming and Test Driven Development techniques.

Lightning talks (session 2) & Closing session & Kahoot

Lightning talks

Implementación sencilla de APIs con Python, para poder realizar peticiones http e intercambio de información entre aplicaciones.

Come explore step4ward, a non-profit organization passionately crafted BY and FOR women. In just 5 minutes, learn how we're all about supporting women in the tech job market. We provide advice, build a community, and help with interview prep and early career steps. Let's break barriers and boost women in tech together!

Best practices for developers to protect themselves from scams and hacking attempts

In this light talk, I would like to present my implementation of temperature and humidity monitoring using Iot (Raspberry Pi, DHT22 sensor, all in Docker services), and Machine learning for time series analysis.

I will showcase a wide array of ways for anyone to support the Python open source ecosystem, with a special focus on financial support. I won't have any special focus on special communities or libraries but will aim for a general overview: including open source contributions as part of one's job description, sponsoring events and/or libraries, donating to foundations that act as umbrella for the exisiting projects...

We'll go through tinymem, a working example of a game programmed in MicroPython which has menus, audio, sprites, text, button inputs... All this under 40 lines of code available for the Thumby hardware, which is a miniature Raspberry Pi Pico based console.