techhub.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A hub primarily for passionate technologists, but everyone is welcome

Administered by:

Server stats:

5.4K
active users

#jupyter

6 posts6 participants0 posts today
Continued thread

📋 if you do not have a place to install and run a #jupyter, other options are available for free online.

I have already written about them to death in my books on quantitative research methods and advanced data analysis. Each of these books is available here: datatofu.wordpress.com/#DIY

I also mention them in my other books, so, honestly speaking, you are welcome to browse around.

Digestible Data Analytics (DDA)Digestible Data Analytics (DDA)Serving you digestible big data analysis and analytics systems.

#python is an interpreted language. The Python interpreter runs a program by execut‐ ing one statement at a time. The standard interactive Python interpreter can be invoked on the command line with the python command

data analysis or scientific computing make use of IPython, an enhanced Python interpreter, or #jupyter notebooks, web-based code notebooks originally created within the IPython project.

It is my first time dealing with Jupyter notebooks (for uni) and I am liking them a lot.

I get why every non-coputertoucher scientist uses them. It is also basically literate programming, which is cool.

OTOH, I hate dealing with Python. Absolute hell, I am about to boot a fucking container just to blast it into the Sun once I'm done.

#python#nix#flakes

JupyterCon 2025 is happening!

We're excited to host this year's JupyterCon in sunny San Diego, California, from November 3–6, 2025. From its beginnings as IPython in 2001, Project Jupyter has grown to a global scale platform with millions of *.ipynb files on GitHub (not all of which are named Untitled.ipynb!). The Jupyter ecosystem has transformed data science, scientific research, and education and has shaped the way a generation of developers and scientists develop their workflows.

Learn more about JupyterCon 2025 bit.ly/jupytercon
Registration bit.ly/jconreg

We're seeking proposals for Presentations (Talks), Tutorials, Group Sessions (Workshops, Birds-of-a-Feather, Symposia), and Posters. Topics can include: Data Science; Community; Research and Scientific Discovery; Education; and Jupyter Infrastructure.

Submit your idea today! bit.ly/jconcfp

LF EventsJupyterCon | LF EventsDiscover the future of data science with hands-on training, visionary keynotes, innovative tools, and insights from top Jupyter contributors.

Oh Sweet. I just need to transplant any necessary "library" code into my existing #Python script and pack enough functionality into it that I can make a demonstration #Jupyter Notebook for the whole project.

At which point, there exists clean end-user tools - in the form of a library you can import and use in Jupyter or build friendly GUI apps on top of.

All I need is Jupter for now.

A while ago, I wrote an article about my attempts to make development in Python more interactive, more "test" driven and more fun.

My North Star is the developer experience in Clojure, where you have everything at your fingertips using REPL Driven Development.

One thing that I haven't been able to figure out until now, is how to modify and evaluate Python code from an actual running program - without any restarts.

davidvujic.blogspot.com/2025/0

davidvujic.blogspot.comAre we there yet?Continuing with the work on tooling support for interactive and fun development with Python.