Can anyone give me the python code for the equation "If u = tan^-1(2xy/x^2-y^2), then show that uxy=uyx." for beginners without using any shortcut commands.
I tried to compile my code, but for some reason, it is not doing so. So, please can someone send me the working code for the above-mentioned problem.
Related
So guys hello, i recently obfuscated my code without backing it up using Monkey-obfuscator
and i really cannot reverse it, i lost my source code and i only have an obfuscated source code.
here's the code : https://dpaste.com/DBUU3X3H2.txt
if anyone can help me get the source back please let me know in the comments
i tried turning exec() into print() and it still gives some nonsense stuff
and i think it should print my source but it doesn't...
I repeat the video on tutorials on creating a graph in manim. I do everything the same as in the video, but I get an error, I attach the code below and the error too.[enter image description here](https://i.stack.imgur.com/plDxB.png)
I tried to remove the code on line 9, and everything works out for me, but there is no parabola. I had a similar problem and with the height argument I thought the problem was in the library, I reinstalled everything, it didn’t help and now I think that I’m doing something wrong. Where could I be wrong? I'm not strong in Python, only now I'm learning a beginner. Help me please.
You are likely following an outdated tutorial: the get_graph method has been renamed to plot quite a while ago. Change your line
plane.get_graph(lambda x: x**2, ...)
to
plane.plot(lambda x: x**2, ...)
and the code should compile.
In general: please don't share your code via screenshots here, just copy/paste it within a code block.
I have been trying to include unfollow action in a bot using Instapy. However, it always gives warning as **** ~user is inaccessible and removes that user from the csv file without unfollowing them. Following is a piece of code that I use for this purpose.
session.unfollow_users(
amount=500,
instapy_followed_enabled=True,
instapy_followed_param="nonfollowers",
style="FIFO",
unfollow_after=12 * 60 * 60,
sleep_delay=501,
)
I have tried even simpler actions like session.unfollow_users(amount=10, nonFollowers=True, unfollow_after=0, sleep_delay=600), but it still does not work. Needless to say that I have also changed unfollow_util.py with the one in https://github.com/ErwinKoekoek/InstaPy/tree/master/instapy, but it did not help. All actions work fine (in both Windows and Ubuntu), except this one. The solutions in this issue did not help either. Could someone please help me with this issue.
So I have been studying Python for some time now, learned all the foundations.
With this knowledge I decided to create a project, right now I have written some code and some functionality, but everything is done by the terminal.
Does anybody know where I can find the resources to learn how to create a fully fleshed-out Python program? I want to convert the script to a true .exe, with a GUI , inputs outside the terminal, etc…
If anyone is interested here is the basic program: GitHub - pedrodeoliamarante/roadto10k. There isn’t much yet but the idea is to create a program where I can save data on what i have been studying, set goals, etc…
Thanks for reading!
Take a look at QT for Python.
https://www.qt.io/qt-for-python
I think this is what you are looking for.
I curious about how to get "first-order optimality" value using python script.
For optimatization python has many module like scipy.optimize and openopt. But I confused how to use that module to get first-order optimality
This is sample matlab script to get first-order optimality
[x,resnorm,residual,exitflag,output,lambda]= lsqcurvefit(func,x0,xdata,tdata);
foo = output.firstorderopt %get first-order optimality value
this is some of foo reference from mathworks
here
Thanks for your attention, Happy New Year 2011 :)
Try scipy.linalg.basic.lstsq or scipy.optimize.minpack.curve_fit
Try to write your own code, refer to the tutorials or else search the web for scipy.linalg.basic.lstsq for code samples (there are some out there). If you encounter any issues, post the code and the issue here.