#PYTHON INSTALL WHEEL OFFLINE CODE#
#PYTHON INSTALL WHEEL OFFLINE OFFLINE#

The output should confirm you have NumPy, which version you are using, as well as where the package is stored. Use the show command to verify whether NumPy is now part of you Python packages: pip show numpy If you are working on this OS, the command to install NumPy with Python 3 is: python3 -m pip install numpy. you can create python 3 virtualenv with this command.Note: The commands are the same for all operating systems except for Fedora. Note: as we are in 2017 it is better to use python 3. Pip install -no-index -find-links='./tranferred_packages' -r requirements.txt

#PYTHON INSTALL WHEEL OFFLINE OFFLINE#

Take your offline folder to offline computer and then python -m virtualenv myenv2

#PYTHON INSTALL WHEEL OFFLINE CODE#

download the packages with following code and put all of them to tranferred_packages folder. Now you can go to your offline folder where your requirements.txt and tranferred_packages folder are in there. On online machine after installing all the packages, you have to generate a requirements.txt so when your virtualenv is active, write pip freeze > requirements.txt Select a directory with terminal cd and run this code: python -m virtualenv myenv Or offline with whl: go to this link, download last version (.whl or tar.gz) and install that with this command: pip install virtualenv-15.1.0-py2.pењ“-none-any.whl -userД«y using -user you donвЂ™t need to use sudo pipвЂ¦. for doing this I use virtualenv (isolated Python environment)ДЎ) install virtualenv online with pip: pip install virtualenv -user say if you depend on PIL, then libpng, libjpeg, etc must be preinstalled). NOTE: the destination machine needs to have the same version of Python installed, and also any C-based dependencies your app may have must be preinstalled there too (e.g. Just before tarballing though, you must make the virtual environment directory relocatable (see вЂ“relocatable option). If the machine that youвЂ™ve built your app has same architecture as the machine on which you want to deploy it, you can simply tarball the entire virtual environment directory into which you easy_install-ed everything. Never install anything into global Python environment. It is (virtualenv that is) pretty much the way to go. within an active virtual environment to avoid contaminating your global Python environment. I highly recommend to invoke setup.py develop. It wonвЂ™t attempt to promiscuously install missing things from Internet. In both cases, the build will fail if one or more dependencies arenвЂ™t present in /pypi directory. $ easy_install -always-unzip -allow-hosts=None -find-links=/pypi.

If you want to install your app and its dependencies into the current python environment, youвЂ™ll do something like this: $ cd ~/src/myapp You can hack on things, and then rerun the app without rebuilding anything. This way your app will be executed straight from your source directory. $ python setup.py develop -always-unzip -allow-hosts=None -find-links=/pypi If you want to be able to run your app with all the necessary dependencies while still hacking on it, youвЂ™ll do something like this: $ cd ~/src/myapp ~/src/myapp/setup.py will have install_requires list that mentions one or more things that you have in your /pypi directory. Suppose you have a properly formed Python application in ~/src/myapp. Some packages arenвЂ™t on PYPI, so same applies to them. I do it a lot when I want a more recent (less stable) version of something.

Some packages may have to be archived into similar looking tarballs by hand. If the package is on PYPI, download it and its dependencies to some local directory.

Python install wheel offline