heartrate
snoop
| heartrate | snoop | |
|---|---|---|
| 1 | 7 | |
| 1,705 | 1,197 | |
| - | - | |
| 10.0 | 0.0 | |
| over 2 years ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
heartrate
snoop
- Show HN: A 100% free and interactive Python course for coding beginners
-
Useful Python Modules for us
pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python
- Looking for app that visualizes python program
-
Top python libraries/ frameworks that you suggest every one
snoop or pysnooper
-
Stop Using print() for Debugging When You Can Snoop Instead
We have all used strategic print() statements in our code to make sure our code is running a certain line or to see the value of a variable. This gets a little sloppy and doesn't provide much context into why some code is not behaving as expected. Enter snoop, the super dead simple way to see exactly what the code is doing, the line of code that is executing, and when and what the values of local variables are. This can help us understand the flow of our code and identify issues much faster!
-
Icecream: Never use print() to debug again in Python
Try https://github.com/alexmojaki/snoop for both plus more.
What are some alternatives?
pyan - Static call graph generator. The official Python 3 version. Development repo.
PySnooper - Never use print for debugging again
pyinstrument - 🚴 Call stack profiler for Python. Shows you why your code is slow!
python-devtools - Dev tools for python
pydeps - Python Module Dependency graphs
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
icecream - 🍦 Never use print() to debug again.
py_better_exchook - nice Python exception hook replacement
panopticon - Python tracing module to visualize code execution.
q - Quick and dirty debugging output for tired programmers. ⛺
taskipy - the complementary task runner for python
executing - Get information about what a Python frame is currently doing, particularly the AST node being executed