Chapters 33 and 34 of "Learn Python with Jupyter" are out!
Chapter 33 is about reading and writing .txt files.
Chapter 34 is about some remaining Python types, keywords, built-in functions and modules.
I hope you will find them useful!
Last 4 chapters soon!
www.learnpythonwithjupyter.com
23.04.2025 16:45 β π 1 π 0 π¬ 0 π 0
Chaper 32 is out! It's about using modules and Jupyter Notebooks when coding in Python. I hope you will find it useful!
BTW: Just 6 more chapters to go! The book should be completed in the next two months! Stay tuned!
learnpythonwithjupyter.com
#python #learnpython #JupyterNotebook #learncoding
02.04.2025 16:16 β π 2 π 0 π¬ 0 π 0
Flyer of the event.
π Upcoming Online Seminar: Immune Dysregulation in SjΓΆgren's Disease π
Our Department of Rheumatology is excited to host this seminar discussing multiomics approaches, spatial techniques, and disease pathology.
πZoom: uzh.zoom.us/j/6944721108...
π
Thursday, June 19, 16.00-17.30 CET
19.03.2025 09:42 β π 0 π 1 π¬ 0 π 0
Chapter 31 of Learning Python with Jupyter is out! It's about recursion. Hope it's useful!
learnpythonwithjupyter.com
03.03.2025 17:58 β π 2 π 1 π¬ 0 π 0
https://www.eventbrite.com/e/open-data-in-musculoskeletal-imaging-tickets-1138337631499?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=wsa&aff=ebdsshweb...
Join us tomorrow, in this year's Love Your Data Week to talk about βOpen Data in Musculoskeletal Imagingβ presented by @serenabonaretti.bsky.social
@ritpau.bsky.social
and Simone Poncioni
Registration still open:
t.co/C77XLy0jfa
#imaging, #msk, #opendata
12.02.2025 07:12 β π 5 π 5 π¬ 0 π 0
Here is Chapter 30 of Learn Python with Jupyter! It is about checking inputs and some variations on returns. I hope you find it useful!
LPWJ website: www.learnpythonwithjupyter.com
#learnPython #jupyternotebook
03.02.2025 16:57 β π 1 π 1 π¬ 0 π 0
If you also want to resign from your own Elsevier-controlled journal, itβs now easier than ever to take your existing editorial board, and spin up your own journal with better tech.
30.12.2024 13:19 β π 19 π 5 π¬ 0 π 0
After quite some time, finally Chapter 29 of #LearnPythonWithJupyter is out! It's about function outputs and how to modularize code using main and satellite functions. I hope you will find it useful!
www.learnpythonwithjupyter.com
16.12.2024 18:10 β π 1 π 0 π¬ 0 π 0
Scientists, academics, researchers: Weβre excited to share that @altmetric.com is now tracking mentions of your research on Bluesky! π§ͺ
03.12.2024 14:10 β π 29987 π 5095 π¬ 466 π 281
Happy to be on BlueSky and excited for all the academic/scientific inputs I will get!!!
25.11.2024 08:21 β π 3 π 0 π¬ 0 π 0
skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning.
Our long-term goal is to directly connect database tables to machine learning estimators.
https://skrub-data.org
https://discord.gg/ABaPnm7fDC
Python library for creating static, animated, & interactive visualizations. Chat w/ us @ https://discourse.matplotlib.org/
Sponsored by NumFocus
https://london.pydata.org
We run a monthly meetup and host the annual PyData London conference. PyData is an educational program of NumFOCUS, helping our community share ideas and learn from each other.
https://www.meetup.com/PyData-London-Meetup/
Meetup de la comunidad PyData en Madrid. Β‘Γnete!
Toots por @astrojuanlu
[bridged from https://masto.ai/@pydatamadrid on the fediverse by https://fed.brid.gy/ ]
https://www.meetup.com/pydata-southampton
Southampton, UK chapter of PyData
DuckDB is an analytical in-process SQL database management system. "DuckDB" and the DuckDB logo are registered trademarks of the DuckDB Foundation.
Teaching materials for the cusy training courses on a Python-based data science workflow: https://cusy.io/en/seminars
The Bayesian Consultancy β’ Using PyMC to solve your most challenging data science problems β’ http://pymc-labs.com
Our mission: To provide tools and resources to foster a diverse, friendly, and inclusive community of data science learners and practitioners. Join us at https://dslc.io
Modern workflow orchestration for data and ML engineers.
Website: https://prefect.io
Code: https://github.com/prefecthq/prefect
Slack: https://prefect.io/slack
Put data & AI into action by creating scalable, interactive data apps for your business with Dash. https://plotly.com/
NumPy & SciPy for GPU.
π https://cupy.dev/
π οΈ https://github.com/cupy/cupy
Reproducible data science for everyone! #UseGalaxy
https://galaxyproject.org/
Probabilistic Programming and Bayesian Modeling in Python
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang
www.arviz.org
Online #Python Training & Expert Community: Tutorials, Video Courses, Books, Quizzes...and More! Join 1M+ Pythonistas at http://realpython.com
Machine learning in Python β’ Open Source
https://scikit-learn.org