.py.rate.chnic are a series of 3 collective work-sessions organized by the XPUB second-year's students and attended by other students.
Each sessions is conducted by two second-years' who organize the session around a topic and format related to their graduation projects and will function as an opportunity to develop, experiment, test and discuss their processes collectively.
.py.rate.chnic planning document
Each session you will need a Workshop description, which includes:
- who is leading the:
- format: workshop? test session? book sprint?
- short description:
- what will happen?
- why (relevance)?
- outcome: what will be goal of the session
- maximum amount of participants:
- prerequisites: reading list, software installs, material to bring
Deadline for Workshop description:
- first draft: 2019.11.04
- final document: 2020.01.06
- create announcement poster
Do not overload the participants with prerequisites. The idea of these planning documents, is that the sessions can start quickly and be productive and fun, rather than a tedious 2hours' install session.
The format of sessions can range from a
- hackthon: where you ask the participants to explore a subject, through the development of a prototypes, from give a starting point.
- workshop: where you bring in a certain technology/prototype/... and ask others to develop or explore it. More focused on a approach and see what that approach can lead to
- (book) sprints: where the group writes collaboratively a manual / research text / book / and produces a website/pdf/...
- test session: where a given procedure/methods is tested on the participants and at the end feedback is given
- ...others or combinations of these
Py.rate.chnic sessions 2019-2020
- ...write here your workshop description
- use templatein : .py.rate.chnic planning document
- Description of each workshop deadline: 2019.11.18
- Number of workshop 4 workshops, each led by 2 Xpub students
- location: Publication Station
- workshops start date: end of January
- announce the workshops in the start of January
- announce them as station skills, so participants can enrol via mywdka
- make a poster and put it on the PubSt/Xpub 4th floor
- run the workshop on Mondays evening/late afternoon, from 17:30 to 20:30, so BA students can attend
- will happen during 4 Mondays of 2nd trimester
XPUB2 2017-2019 (PAST)
- 8.10.2018: Tash & Joca https://pad.xpub.nl/p/pyratechnic1
- 29.10.2018: Zalan & Alex https://pad.xpub.nl/p/jpeg_jam
- 12.11.2018: Angeliki & Alice
8.10.2018: Tash & Joca // Scrape, rinse and repeat
Edition 1 is a workshop about web scraping: extracting data from websites and exploring applications of it within an artistic practice.Workshop leaders Tash and Joca will share how they use scraping in their graduation projects: from analyzing self-censorship in Indonesia to remixing the design of your daily news. Then it's time for you to collect data, and experiment with ways to present it.
Please read the information below, to make sure you are ready to scrape, rinse and repeat!
Where & when:
Monday the 8th of October 11:00 till 17:00, in our lovely XPUB studio
Things to prepare:
To get started quickly, make sure you have the following software installed
python3 pip3 html5lib selenium
You can find installation instructions on the pad: https://pad.xpub.nl/p/pyratechnic1
PART 1: human scraping Introduction: Why scraping? Examples of projects Start with pen and paper, analyzing different components, rearranging them
PART 2: programmatic scraping Scraping using Python3: offering two basic scripts to start with 1. html5lib and elementtree (e.g. text, link, and tag scraping) 2. selenium (scraping via web browser automation, e.g. for dynamic elements like comments)
Work in small groups on different scraping prototypes (try different sources, extract different elements, find different presentation forms)
PART 3: performative scraping PRESENT! what did you scrape? can you show it visually? read it aloud? anything surprising? Feedback and wrap-up
29.10.2018: Zalan & Alex
Where & When
11:00 – 17:00 in the small project space
Things to prepare:
Please, if possible, [try to] install the following dependencies:
If you wish to use a virtual environment (optional): (first cd to your working directory)
python3 -m venv pyrate.venv source pyrate.venv/bin/activate
for the rest just use pip3 install as follows:
pip3 install h5py==2.8.0
pip3 install Keras==2.2.4
and so on with the rest!
- 11:00–11:30 Short introduction & discussion about machine learning and computer vision
- 11:30–13:00 Programming a script in groups of 3–4 (1st years mixed with 2nd years) (?)
- 13:00–14:00 Lunch
- 14:00–14:30 Finalising the script
- 14:30–15:00 Showing the outcomes of the script
- 15:00–15:10 Coffee break
- 15:10–15:40 Short introduction & discussion about data visualisation and spatial installations
- 15:40–16:30 Creating different spatial installations from the outcomes of the first script in groups of 3–4 (1st years mixed with 2nd years)
- How can the dataset and the algorithm be projected into space / how can the dataset be »experienced«
- 16:30–17:00 Showing the outcomes of the installations
12.11.2018: Angeliki & Alice
🍕 at the end