You can build a portable Python environment following steps below.

1. Install python-build-standalone.

2. Install Python packages using pip of the installed python-build-standalone distribution.

3. Pack the whole python-build-standalone directory into a compressed file, e.g., env.tar.gz.

The GitHub repo dclong/python-portable has good examples of building portable Python environments leveraging …

python-build-standalone is a better alternative to conda-pack on managing Python dependencies for PySpark. Please refer to Packaging Python Dependencies for PySpark Using python-build-standalone for tutorials on how to use python-build-standalone to manage Python dependencies for PySpark.

Build Portable Python Environments Using conda-pack

Please refer to the GitHub repo dclong/conda_environ …

Using portable applications is a good way to make your digital life easier. They do not eat up your disk quickly nor do they mess up the registry of your Windows OS. You can always copy these applications from one computer to another and use it out of box. Or …

** Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement! **

Cygwin Portable

1. The portable versions has some problems

   • Vim, edit mode, backspace doesn't work sometimes (identation related)

2. Cygwin portable scroll doesn't work after Vim is opened and then closed. but if …

1. Addresses on 64 and 32 OS are different, so you have to be careful when your program have to deal with address. For example, if you take the difference of two pointers/iterators, you should type std::ptrdiff_t (which is essentially a singed integer type). Using an arbitrary integer type …