cheap_repr
iodide
cheap_repr | iodide | |
---|---|---|
1 | 2 | |
21 | 1,487 | |
- | 0.1% | |
10.0 | 0.0 | |
over 2 years ago | over 1 year ago | |
Python | JavaScript | |
MIT License | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cheap_repr
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Show HN: A 100% free and interactive Python course for coding beginners
- https://github.com/alexmojaki/cheap_repr (not a debugger, but used by the above two as well as directly by futurecoder)
Tracebacks:
- https://github.com/alexmojaki/stack_data (this is also what powers the new IPython tracebacks)
iodide
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Show HN: A 100% free and interactive Python course for coding beginners
Thanks! FWICS, futurecoder (and JupyterLite) may be the best way to run `print("hello world!")` in Python on Chromebooks for Education and Chromebooks with Family Link which don't have VMs or Containers (!).
Looks like `Ctrl-Enter` works, just like jupyter/vscode.
iodide-project/iodide > "Compatibility with 'percent' notebook format" which works with VScode, Spyder, pycharm, https://github.com/iodide-project/iodide/issues/2942:
# %%
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Any open source DRF projects?
The server is implemented using DRF: https://github.com/iodide-project/iodide/tree/master/server
What are some alternatives?
sync-message
birdseye - Graphical Python debugger which lets you easily view the values of all evaluated expressions
python_runner - Helper for running python code indirectly
pure_eval - Safely evaluate AST nodes without side effects
jupyterlite - Wasm powered Jupyter running in the browser 💡
comsync
community - Repository for public issue-tracking and discussions
executing - Get information about what a Python frame is currently doing, particularly the AST node being executed
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]