I need to download a python package with all its dependencies without installing, sneaker-net it to a computer without connection to the internet, and install it there. For example, I want to install buildbot, lettuce, etc.
The computer is a Windows 7 machine, using Python 2.7.
If the package has native extensions, I can build them on the computer.
You can use pip, with the --download option, which will download the main package and its dependancies, without installing them.
pip install --download="/path/to/downloaded/files" sneaker-net
And use these files one the local machine with:
pip install --no-index --find-links=<DIR on local machine> sneaker-net
See pip documentation --download for fast & local installs. You can use pip on Windows with cygwin for example.
Related
There is a python script that I want to run on windows 10 but it requires these dependencies:
apt-get install python-dmidecode libcdio-utils acpidump mesa-utils
But windows does not support the "apt-get" command.
I have tried chocolatey but I couldn't find those libraries that I am trying to download.
Anyone have any ideas on how I could make that script work?
You can use "pip"(version 2 or 3) or "easy_install"(version 2 or 3) in :
C:\"Your Python version"\Scripts>
or
C:\Users\<your username>\AppData\Local\Programs\Python\"Your Pythonn Version"\Scripts>
apt-get is package distribution manager for Ubuntu and a few other linux distributions. It only handles linux packages, so there is no point trying to get it running on Windows 10.
For handling / managing Python packages and dependencies, you can try using Conda. You can install it by downloading either Anaconda or Miniconda. After installation, to get a new package use either
conda install <packagename>
or
pip install <packagename>
as Anaconda/Miniconda installs pip as well.
I have a python2.6 installed on Oracle linux.
I decided to use a newer python version and installed python 2.7.13.
I have also installed pip to manage packages.
Now if I use pip to install a package it still installs it to the old location: /usr/lib/python2.6/site-packages
Is there a way to force pip to install packages for the newer python 2.7 version?
Posable Repeat Post
"Use a version of pip installed against the Python instance you want to install new packages to.
In many distributions, there may be separate python2.6-pip and python2.7-pip packages, invoked with binary names such as pip-2.6 and pip-2.7. If pip is not packaged in your distribution for the desired target, you might look for a setuptools or easyinstall package, or use virtualenv (which will always include pip in a generated environment).
pip's website includes installation instructions, if you can't find anything within your distribution." ~Charles Duffy
Taken from How to install a module use pip for specific version of?
Did you check Install a Python package into a different directory using pip?.
To install in specified target directory use "pip install --target= "
Oracle Linux uses the system-installed version of Python for almost all of its command-line utilities, so changing that could irreparably damage your system.
Instead of replacing the default Python install, you should strongly consider using Python 2.7 from Software Collections instead.
Using Software Collections means that the install of Python 2.7 is separated from the system install, so you don't run the risk of damaging your system. You can then make it available to your applications via the scl tool.
I am working on CentOS machine which cannot connect to internet, for some reasons I need to install a python module psutil, so I got psutil-2.1.3 package but not there is no clear instruction how manually one can install it in centOS system
This is usually pretty simple:
Got to PyPi
Download the .whl file for your Python version and copy it to your server
Run pip install path/to/wheel.whl, depending on your seetings you might need to install this with sudo or from a virtual environment
???
Profit!
I have developed a tool that my team can use after running the setup.py script. The tool requires this library: https://github.com/c2nes/javalang
How can I make my python setup script install this library on their computer regardless of what OS they are on. They can't run my tool without that library (Some people are on windows, mac, and linux.)
pip can install projects on Github as a dependency too!
All you need to do is, in your requirements.txt, add a line like following:
..
git+https://github.com/c2nes/javalang.git
then install the dependency using:
$ pip install -r requirements.txt
What you are looking for exists on PyPI. Instead of git+https://.. line above, just say: javalang. Oh and BTW, unless they are running old versions of Python, they should already have pip installed. If they don't use your operating systems package manager or get-pip.py as you said.
I have an external package I want to install into my python virtualenv from a tar file.
What is the best way to install the package?
I've discovered 2 ways that can do it:
Extract the tar file, then run python setup.py install inside of the extracted directory.
pip install packagename.tar.gz from example # 7 in https://pip.pypa.io/en/stable/reference/pip_install/#examples
Is if there is any difference doing them in these 2 ways.
On the surface, both do the same thing: doing either python setup.py install or pip install <PACKAGE-NAME> will install your python package for you, with a minimum amount of fuss.
However, using pip offers some additional advantages that make it much nicer to use.
pip will automatically download all dependencies for a package for you. In contrast, if you use setup.py, you often have to manually search out and download dependencies, which is tedious and can become frustrating.
pip keeps track of various metadata that lets you easily uninstall and update packages with a single command: pip uninstall <PACKAGE-NAME> and pip install --upgrade <PACKAGE-NAME>. In contrast, if you install a package using setup.py, you have to manually delete and maintain a package by hand if you want to get rid of it, which could be potentially error-prone.
You no longer have to manually download your files. If you use setup.py, you have to visit the library's website, figure out where to download it, extract the file, run setup.py... In contrast, pip will automatically search the Python Package Index (PyPi) to see if the package exists there, and will automatically download, extract, and install the package for you. With a few exceptions, almost every single genuinely useful Python library can be found on PyPi.
pip will let you easily install wheels, which is the new standard of Python distribution. More info about wheels.
pip offers additional benefits that integrate well with using virtualenv, which is a program that lets you run multiple projects that require conflicting libraries and Python versions on your computer. More info.
pip is bundled by default with Python as of Python 2.7.9 on the Python 2.x series, and as of Python 3.4.0 on the Python 3.x series, making it even easier to use.
So basically, use pip. It only offers improvements over using python setup.py install.
If you're using an older version of Python, can't upgrade, and don't have pip installed, you can find more information about installing pip at the following links:
Official instructions on installing pip for all operating systems
Instructions on installing pip on Windows (including solutions to common problems)
Instructions on installing pip for Mac OX
pip, by itself, doesn't really require a tutorial. 90% of the time, the only command you really need is pip install <PACKAGE-NAME>. That said, if you're interested in learning more about the details of what exactly you can do with pip, see:
Quickstart guide
Official documentation.
It is also commonly recommended that you use pip and virtualenv together. If you're a beginner to Python, I personally think it'd be fine to start of with just using pip and install packages globally, but eventually I do think you should transition to using virtualenv as you tackle more serious projects.
If you'd like to learn more about using pip and virtualenv together, see:
Why you should be using pip and virtualenv
A non-magical introduction to Pip and Virtualenv for Python beginners
Virtual Environments
python setup.py install is the analog of make install: it’s a limited way to compile and copy files to destination directories. This doesn’t mean that it’s the best way to really install software on your system.
pip is a package manager, which can install, upgrade, list and uninstall packages, like familiar package managers including: dpkg, apt, yum, urpmi, ports etc. Under the hood, it will run python setup.py install, but with specific options to control how and where things end up installed.
In summary: use pip.
The question is about the preferred method to install a local tarball containing a python package, NOT about the advantage of uploading package to an indexing service like PyPi.
As lest I know some software distributor does not upload their package to PyPi, instead asking developers to download package from their website and install.
python setup.py install
This can work but not recommended. It's not necessary to unwrap the tarball file and go into it to run setup.py file.
pip install ../path/to/packagename.tar.gz
This is the way designed and preferred. Concise and align with PyPi-style packages.
More information about pip install can be found here: https://pip.readthedocs.io/en/stable/reference/pip_install/