pycloud | A Python implementation of the pCloud API | REST library
kandi X-RAY | pycloud Summary
kandi X-RAY | pycloud Summary
A Python implementation of the pCloud API
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Top functions reviewed by kandi - BETA
- Get resource information
- Create a basic info object from metadata
- Make a request to the API
- List all folders
- Get OAuth2 token
- Get an access token
- Open auth url
- Get authentication token
- Returns the digest of the device
- Create a folder
- Handle GET request
- Get the nearest API endpoint
- List the contents of a directory
- Read from the file
- Close the file
- Invite a user
- Creates a folder if it doesn t exist
- Get the zplink link
- Remove trash files
- Return a list of trash entries
- List workshareshares
- Returns the contents of the current archive
- Get the current API version
- Returns the current server
- Move the file to the given offset
- Truncate the file
pycloud Key Features
pycloud Examples and Code Snippets
Community Discussions
Trending Discussions on pycloud
QUESTION
I'm trying to deploy a service on Google AppEngine Python 3.7 standard environment, which requires a set of libraries as dependencies. One of the dependencies (GDAL 2.2.2) cannot be deployed returning error message:
...ANSWER
Answered 2019-Mar-07 at 09:22The dependencies in the Google App Engine Python3.7 runtime are installed using the Python package manager pip
.
To install a Python package in the GAE Standard Python3.7 runtime it needs to be offered as a pip-installable Python library.
The GDAL package is installable via pip
, but it requires the libgdal
and gdal-devel
platform packages to be installed, which don't come in the base runtime for App Engine Standard Python3.7 runtime.
The solution is to use the GAE Flex environment and install these platform-level dependencies first.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pycloud
You can use pycloud like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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