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Catching an exception while using a Python 'with' statement
To my shame, I can't figure out how to handle exception for python 'with' statement. If I have a code:
4 Answers
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Exclude all transitive dependencies of a single dependency
... the dependency as "provided" at top level.
For example, to avoid shipping xml-apis "whatever version" :
<dependency>
<groupId>xml-apis</groupId>
<artifactId>xml-apis</artifactId>
<version>[1.0,]</version>
<scope>pr...
How to print a date in a regular format?
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The WHY: dates are objects
In Python, dates are objects. Therefore, when you manipulate them, you manipulate objects, not strings or timestamps.
Any object in Python has TWO string representations:
The regular representation that is used by print can be ...
How can I mock requests and the response?
I am trying to use Pythons mock package to mock Pythons requests module. What are the basic calls to get me working in below scenario?
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np.mean() vs np.average() in Python NumPy?
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Simpler way to create dictionary of separate variables?
...e to be able to get the name of a variable as a string but I don't know if Python has that much introspection capabilities. Something like:
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python pip: force install ignoring dependencies
Is there any way to force install a pip python package ignoring all it's dependencies that cannot be satisfied?
2 Answers
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Android ViewPager - Show preview of page on left and right
...), so you should do something like:
<androidx.cardview.widget.CardView xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
android:layout_width="match_parent"
android:layout_height="match_parent" <-- this!
app:cardCorn...
Cython: “fatal error: numpy/arrayobject.h: No such file or directory”
...eate a setup.py ... you don't need to even open a command line if you use IPython ... it's all very convenient. In your case, try running these commands in IPython or in a normal Python script:
import numpy
import pyximport
pyximport.install(setup_args={"script_args":["--compiler=mingw32"],
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How to count the number of true elements in a NumPy bool array
... count the number of elements whose values are True . Is there a NumPy or Python routine dedicated for this task? Or, do I need to iterate over the elements in my script?
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