2023-04-18 –, B07-B08
PyScript brings the full PyData stack in the browser, opening up to unprecedented use cases for interactive data-intensive applications. In this scenario, the web browser becomes a ubiquitous computing platform, operating within a (nearly) zero-installation & server-less environment.
In this talk, we will explore how to create full-fledged interactive front-end machine learning applications using PyScript. We will dive into the the main features of the PyScript platform (e.g. built-in Javascript integration and local modules ), discussing new data & design patterns (e.g. loading heterogeneous data in the browser), required to adapt and to overcome the limitations imposed by the new operating environment (i.e. the browser).
PyScript is the new open source platform that brings Python to web front-end applications. In fact, PyScript makes it possible to inject standard Python code into HTML, which is then interpreted and executed directly in the browser. And all that, with no server-side technology needed, and no installation required (not even a local Python interpreter!, ed.) 🔮.
But there's more! Thanks to its built-in integration with pyodide, PyScript brings the full PyData stack into the browser, along with a native integration with the Javascript interpreter, then enabling full support for front-end interactivity.
As a result, PyScript has the potential to radically change the way in which interactive data-driven web apps could be designed and developed: the seamless bi-directional integration of Python and Javascript is complemented by the full support to reliable numerical computation, enabled by the Python scientific ecosystem (e.g. numpy scikit-learn), using the browser as a ubiquitous virtual machine.
In this talk, we will explore how PyScript enables the creation of full-fledged font-end interactive machine learning (ML) apps using PyScript. Multiple examples of supervised and unsupervised ML apps will be presented, and analysed in details, in order to fully understand how PyScript works, and what key features are provided (e.g. built-in Javascript integration; local modules ). Similarly, we will also discuss new_ data & design patterns (e.g. loading heterogeneous data in the browser; multi-core vs multi-threading; _performance considerations) which are required to adapt to the new atypical environment in which we operate: the browser.
No specific prior knowledge is required to attend the talk. Familiarity with Python programming, and the main pydata packages (i.e. numpy, scikit-learn, Matplotlib ) is desirable, along with a general understanding of how the web DOM works (for the Javascript interaction part) and basic principles of data processing.
Domain knowledge: Novice; Python knowledge: Intermediate
Interactive ML apps in the browser with zero installation and no server needed? Come to my talk to know how..
Expected audience expertise: Python:Intermediate
Expected audience expertise: Domain:Novice
Valerio Maggio is a Data scientist, a Developer Advocate at Anaconda. Valerio is well versed into open science and research software, advocating the use of best software development practice in Data Science. He is member of the Software Sustainability Institute (profile) where he has been awarded a fellowing to develop focusing on Privacy-Preserving Machine learning technologies. Valerio is an active member of the Python community. Over the last twelve years Valerio has contributed and volunteered to the organisation of many international conferences and local meet-ups like PyCon Italy, EuroPython, EuroSciPy and PyData. All his talks, workshop materials and open source contributions are publicly available on his Speaker Deck and GitHub profile pages.