I am working with Django and use Django shell all the time. The annoying part is that while the Django server reloads on code changes, the shell does not, so every time I make a change to a method I am testing, I need to quit the shell and restart it, re-import all the modules I need, reinitialize all the variables I need etc. While iPython histor….
I’ve been having trouble with Python, iPython and the libraries. The following points show the chain of the problematics. I’m running Python 2.7 on Mac Lion.
iPython doesn’t read the libraries of scipy, matplotlib, but it does read numpy.
To fix this, I tried installing Python’s source code version, and it only gave me more problems since now….
It’s really irritating that every time I type exit(), I get prompted with a confirmation to exit; of course I want to exit! Otherwise, I would not have written exit()!!!
Is there a way to override IPython’s default behaviour to make it exit without a prompt?
….
I have a foo.py
def foo():
print “test”
In IPython I use:
In [6]: import foo
In [7]: foo.foo()
test
Then I changed the foo() to:
def foo():
print “test changed”
In IPython, the result for invoking is still test:
In [10]: import foo
In [11]: foo.foo()
test
Then I use:
In [15]: del foo
In [16]: import foo
In [17]: foo.foo()
test
I….
I have some Python code example I’d like to share that should do something different if executed in the terminal Python / IPython or in the IPython notebook.
How can I check from my Python code if it’s running in the IPython notebook?
….
How do I execute a bash command from Ipython/Jupyter notebook passing the value of a python variable as an argument like in this example:
py_var=”foo”
!grep py_var bar.txt
(obviously I want to grep for foo and not the literal string py_var)
….
Let’s say I am doing a larger data analysis in Jupyter/Ipython notebook with lots of time consuming computations done. Then, for some reason, I have to shut down the jupyter local server I, but I would like to return to doing the analysis later, without having to go through all the time-consuming computations again.
What I would like love to do i….
Let’s say I am doing a larger data analysis in Jupyter/Ipython notebook with lots of time consuming computations done. Then, for some reason, I have to shut down the jupyter local server I, but I would like to return to doing the analysis later, without having to go through all the time-consuming computations again.
What I would like love to do i….
As I know, %debug magic can do debug within one cell.
However, I have function calls across multiple cells.
For example,
In[1]: def fun1(a)
def fun2(b)
# I want to set a breakpoint for the following line #
return do_some_thing_about(b)
return fun2(a)
In[2]: import multiprocessing as mp
pool=….
I always read the code to calculate the time like this way:
%timeit function()
What does “%” mean here?
I think, the “%” is always used to replace something in a string, like %s means replace a string, %d replace a data, but I have no idea about this case.
….