I am now practicing automation using selenium using python language.
I now want to to download the an archive file (database scripts) from bitbucket repository to my local machine.
Is there any way to do it?
Can you help me in giving some sample code to do the same?
Note: I'm using python 3.4. (I have a private repository)
Related
I'm trying to upload files to svn using atlassiain-python-api(python).
So far, I managed to download and store confluence attachments to a default directory for python project
following this example.
Now I'd like to upload those files to my svn server.
My ideas are
changing download path to svn or
directly integrating svn with confluence or
using atlassian fisheye
It would be very nice of you if you can walk me through it or give me some clues.
I've been searching for useful svn python modules but none are working.
I don't think they are used and supported at all.
Thank you!
I am pretty new to python and would like to use the PyMuPDF library on a web server in order to modify PDFs. The problem is, I am unable to add/install any modules or libraries to/on the server.
Is there a way to install all libraries and modules in a directory, then upload this directory to the server and link the python file (also on server) to these uploaded folders?
I have a project that is running a python script in a GitHub repo that reads and updates a local CSV file. Is it possible to save the updated CSV file on the GitHub repo using that py script? Calling and saving the file to my GoogleDrive won't work because it is a public GitHub repo, so I cannot store my Google credentials.
Does anyone have a solution? Or know a cloud provider that will read/write access to non-users accounts?
You can check out PyGithub, from their docs:
PyGitHub is a Python library to access the GitHub REST API. This
library enables you to manage GitHub resources such as repositories,
user profiles, and organizations in your Python applications.
Or GitPython
GitPython is a python library used to interact with git repositories,
high-level like git-porcelain, or low-level like git-plumbing.
Cheers!
I have a client for whom I have created a program that utilizes a variety of data and machine learning packages. The client would like for the program to be easily run without installing any type of python environment. Is this possible?
I am assuming the best bet would be to transform the .py file into a .exe file but am unsure of how to do this if I have packages that need to be installed before the program can be run.
Are there websites that exist that allow you to easily host complex .py files on them to be run by anyone that accesses the URL?
I think you are looking for "freezing", which package everything including the interpreter, libs and packages into a single executable file.
There are several tools for this purpose:
https://wiki.python.org/moin/Freeze
https://docs.python-guide.org/shipping/freezing/
I think the use of colaboratory that is cloud service provided by Google might be better. Your client who has to sign up for Google account can not only run the python program, but also utilize any major python packages on the cloud (of course, it's possible to install the necessary packages into the client's cloud space), without constructing the python environment on client's local PC. What's more, it's at free!
I have developed an application where a small part of the solution is done in ironpython, but when I am migrating to production they (client) are not giving permission to install ironpython.
I am trying to get any portable version of IronPython. So that without installing I can run IronP` code.
Please Help.
There is no need to MSI-install IronPython on the clients you are deploying your application to.
Just XCOPY deploy your application as well as required portions of IronPython (e.g. by grabbing a current ZIP release or getting files from your local installation).
The required files will at least include
IronPython.dll,
Microsoft.Dynamic.dll,
Microsoft.Scripting.dll and
Microsoft.Scripting.Metadata.dll
from the correct Platforms-subfolder (e.g. Net45).
If the python standard library is used in your python code (or needs to be available to dynamically loaded code) the Lib-folder (or a subset) has to be included as well.
Should your application be deployed via MSI or a similar mechanism just include relevant IronPython files instead of XCOPYing.