https://github.com/clarete/forbiddenfruit
PythonPython supports duck-typing, but it will not work on built-in types. forbiddenfruit allows to add or overwrite functions of built-in types such as int or str.
https://andyljones.com/posts/post-mortem-plotting.html
Python | TutorialThe extract function copies the local variables from the current function frame into the existing Jupyter session. If the Python code crashes, you can enter the debugger with the %debug magic and then use the extract function to copy the variables from the function frame into the Jupyter session. The variables can now be properly inspected, e.g., plotted.
The original URI above contains more details how to use this post-mortem debugging.
def extract(source=None):
"""Copies the variables of the caller up to iPython. Useful for debugging.
.. code-block:: python
def f():
x = 'hello world'
extract()
f() # raises an error
print(x) # prints 'hello world'
"""
import inspect
import ctypes
if source is None:
frames = inspect.stack()
caller = frames[1].frame
name, ls, gs = caller.f_code.co_name, caller.f_locals, caller.f_globals
elif hasattr(source, '__func__'):
func = source.__func__
name, ls, gs = func.__qualname__, (func.__closure__ or {}), func.__globals__
elif hasattr(source, '__init__'):
func = source.__init__.__func__
name, ls, gs = func.__qualname__, (func.__closure__ or {}), func.__globals__
else:
raise ValueError(f'Don\'t support source {source}')
ipython = [f for f in inspect.stack() if f.filename.startswith('<ipython-input')][-1].frame
ipython.f_locals.update({k: v for k, v in gs.items() if k[:2] != '__'})
ipython.f_locals.update({k: v for k, v in ls.items() if k[:2] != '__'})
# Magic call to make the updates to f_locals 'stick'.
# More info: https://pydev.blogspot.co.uk/2014/02/changing-locals-of-frame-frameflocals.html
ctypes.pythonapi.PyFrame_LocalsToFast(ctypes.py_object(ipython), ctypes.c_int(0))
message = 'Copied {}\'s variables to {}'.format(name, ipython.f_code.co_name)
raise RuntimeError(message)
Comprehensive Python Cheatsheet
A really comprehensive guide covering all areas and even third party libraries.
Format string overview for the old and new format string syntax in Python. It shows for each thing you might want to perform, the old syntax (if existing), the new syntax and the output.
Contains a comprehesive list of tutorials, ranging from beginner to advanced. Moreover, it contains community interviews with well-known Python users, a list of Python books and quizzes.
https://docs.python-guide.org/
Python | TutorialA practical, continuously updated, handbook which provides insight into how to use Python, both as a beginner and as an expert.
angr is a python framework for analyzing binaries. It combines both static and dynamic symbolic ("concolic") analysis, making it applicable to a variety of tasks.
pdoc is a Python API documentation generation, which turns doc-strings and type annotations into a simple and elegant documentation.
pdoc auto-generates API documentation that follows your project's Python module hierarchy. It requires no configuration, has first-class support for type annotations, cross-links between identifiers, comes with an integrated live-reloading web server, uses customizable HTML templates, understands numpydoc and Google-style docstrings, and is permissively licensed.