269 Many people have already explained about import vs from, so I want to try to explain a bit more under the hood, where the actual difference lies. First of all, let me explain exactly what the basic import statements do. import X Imports the module X, and creates a reference to that module in the current namespace.
How do I import files in Python? I want to import: a file (e.g. file.py) a folder a file dynamically at runtime, based on user input one specific part of a file (e.g. a single function)
Import aliases are where you take your standard import, but instead of using a pre-defined name by the exporting module, you use a name that is defined in the importing module.
The difference between import module and from module import foo is mainly subjective. Pick the one you like best and be consistent in your use of it. Here are some points to help you decide. import module Pros: Less maintenance of your import statements. Don't need to add any additional imports to start using another item from the module Cons: Typing module.foo in your code can be tedious and ...
A workaround I have found is to import the certificate in IE and export it as a .pfx file. This file can be loaded as a keystore and can be used to authenticate with the webservice. However I cannot expect my clients to perform these steps every time they receive a new certificate. So I would like to load the .cer file directly into Java. Any ...
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I have this folder structure: application ├── app │ └── folder │ └── file.py └── app2 └── some_folder └── some_file.py How can I import a function from file.py, from within som...
from my-lib import mymodule And then just using the name of you function. You can now use sys.path.append to append the path you pass into the function to the folders Python looks for the modules (Please note that thats not permanent). If the path of your modules should be static, you should consider putting these in the Lib folder. If that path is relative to your file you could look for the ...
9 Try from tensorflow.python import keras with this, you can easily change keras dependent code to tensorflow in one line change. You can also try from tensorflow.contrib import keras. This works on tensorflow 1.3 Edited: for tensorflow 1.10 and above you can use import tensorflow.keras as keras to get keras in tensorflow.
