python

问题 i wan't to release my python project, but when i send it to someone he is forced to install all the packages im using in my python project. Is there any way to pack it or something, because maybe there are some users who are not that familiar with pip or python. Regards 回答1: PyInstaller PyInstaller is a program that freezes (packages) Python programs into stand-alone executables, under Windows, GNU/Linux, Mac OS X, FreeBSD, Solaris and AIX. Its main advantages over similar tools are that

问题 i wan't to release my python project, but when i send it to someone he is forced to install all the packages im using in my python project. Is there any way to pack it or something, because maybe there are some users who are not that familiar with pip or python. Regards 回答1: PyInstaller PyInstaller is a program that freezes (packages) Python programs into stand-alone executables, under Windows, GNU/Linux, Mac OS X, FreeBSD, Solaris and AIX. Its main advantages over similar tools are that

问题 I am working on a django/wagtail management command (let's call it "file_upload") that does roughly the following: take "csv" argument, which is a full path to a CSV file. parse and open the result using csv for each row, create and save a custom Wagtail Image model object (inheriting from AbstractImage , with a few extra CharField that I do not think prevent me from doing what I want to do) The (currently simplified) CSV looks like this: 1.jpg,Title 1 2.jpg,Title 2 Does not complicated at

问题 I am working on a django/wagtail management command (let's call it "file_upload") that does roughly the following: take "csv" argument, which is a full path to a CSV file. parse and open the result using csv for each row, create and save a custom Wagtail Image model object (inheriting from AbstractImage , with a few extra CharField that I do not think prevent me from doing what I want to do) The (currently simplified) CSV looks like this: 1.jpg,Title 1 2.jpg,Title 2 Does not complicated at

问题 I am working on a django/wagtail management command (let's call it "file_upload") that does roughly the following: take "csv" argument, which is a full path to a CSV file. parse and open the result using csv for each row, create and save a custom Wagtail Image model object (inheriting from AbstractImage , with a few extra CharField that I do not think prevent me from doing what I want to do) The (currently simplified) CSV looks like this: 1.jpg,Title 1 2.jpg,Title 2 Does not complicated at

问题 How to detect source of vanishing gradients in pytorch? By vanishing gradients, I mean then the training loss doesn't go down below some value, even on limited sets of data. I am trying to train some network, and I have the above problem, in which I can't even get the network to over fit, but can't understand the source of the problem. I've spent a long time googling this, and only found ways to prevent over fitting, but nothing about under fitting, or specifically, vanishing gradients. What

问题 How to detect source of vanishing gradients in pytorch? By vanishing gradients, I mean then the training loss doesn't go down below some value, even on limited sets of data. I am trying to train some network, and I have the above problem, in which I can't even get the network to over fit, but can't understand the source of the problem. I've spent a long time googling this, and only found ways to prevent over fitting, but nothing about under fitting, or specifically, vanishing gradients. What

问题 This question already has answers here : Is floating point math broken? (31 answers) python numpy arange unexpected results (4 answers) Closed 2 years ago . Python 2.7.9 (default, Jun 29 2016, 13:08:31) IPython 5.6.0 -- An enhanced Interactive Python. In [1]: import numpy as np In [2]: np.__version__ Out[2]: '1.14.3' In [3]: np.arange(1.1, 1.12, 0.01) Out[3]: array([1.1 , 1.11, 1.12]) In [4]: np.arange(1.1, 1.13, 0.01) Out[4]: array([1.1 , 1.11, 1.12]) In both cases, the array gets to 1.12...

问题 I am having trouble with some variable types in my code. The error that I get now is: TypeError: can't convert type 'str' to numerator/denominator The code line in question is the following: valor_anual[data[0]['Dados'][json_date][0]['geodsg']][year_code] = statistics.mean(valor_mensal_aux) Here is a snippet of my code to give you guys context: valor_anual = [0][0] for city_code in city_codes: for year_code in year_codes: valor_mensal_aux = [] for month_code in month_codes: url_imob = Request