Graphical Debugging with Eric for Python Developers

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  • Thread starter Thread starter m4r35n357
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SUMMARY

This discussion highlights the advantages of using Eric as a graphical debugger for Python developers, particularly for those on non-x86 platforms like Raspberry Pi. While PyCharm is a popular choice due to its robust built-in debugger, Eric serves as a viable alternative when PyCharm's compatibility is limited. The conversation also references Jupyter notebooks, which are increasingly utilized in data science alongside traditional IDEs like PyCharm and text editors like Vim.

PREREQUISITES
  • Familiarity with Python programming
  • Understanding of Integrated Development Environments (IDEs)
  • Basic knowledge of Qt applications
  • Experience with Jupyter notebooks for data science
NEXT STEPS
  • Explore the configuration process for Eric on non-x86 platforms
  • Learn advanced debugging techniques in PyCharm
  • Investigate the features of Jupyter notebooks for data analysis
  • Study the capabilities of Vim as a text editor for Python development
USEFUL FOR

Python developers, especially those working on Raspberry Pi or other non-x86 systems, as well as anyone interested in exploring alternative debugging tools and environments.

m4r35n357
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TL;DR
Eric the ID(l)E (great search term guys!)
I guess all Python devs know about PyCharm (commercial, but with a gratis (community) version) which has a really nice debugger built in.

Perhaps you don't know about Eric. Eric is nice when you don't have an x86 based computer (Raspberry Pi), or an x86 not running one of the OSs supported by PyCharm. It's a bit fiddly to configure everything (typical Qt application) but it works.
 
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Thanks, I’ve not heard of Eric.

A lot of my coworkers use PyCharm myself included as well as iPython notebooks now called Jupyter notebooks in reference to Julia, Python and R Data Science languages. I also use the humble vim editor which can do so much with so little ( sounding like Sir Winston there )
 

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