How to install a custom python binary(ex. python-dbg) in your conda environment.

install_custom_python_in_conda.sh

# This instruction is for Unix-like OS users.
# I refered to the following guide when I wrote it.
# https://conda.io/docs/user-guide/tasks/build-packages/recipe.html

# Activate an environment if needed
conda activate myenv

# Install conda-build if you haven't. Ironically, installing conda-build
# includes installing python. This python will be effectively replaced with
# your new python binary so don't worry.
conda install conda-build

# Make a directory. You can give it any name.
mkdir python-dbg
cd python-dbg

# Download example files(meta.yaml, build.sh) from
# https://github.com/conda/conda-recipes
wget https://raw.githubusercontent.com/conda/conda-recipes/master/python/python-3.5/meta.yaml
wget https://raw.githubusercontent.com/conda/conda-recipes/master/python/python-3.5/build.sh

# Modify the downloaded files. You change them to build a different version of
# Python or to add compile flags. Refer to Python developer's guide to learn
# more about build options. https://devguide.python.org/setup/

# For example, you can make following changes in build.sh
#
# ./configure --enable-shared --enable-ipv6 --prefix=$PREFIX --with-pydebug
# make -j16

cd ..
# Hope that the build will succeed or you have to figure out
# how to solve the build problem on your own.
conda-build python-dbg

# When conda build is finished, read the log message carefully and find
# the package filename and location. In my case, it looked as below
#    ..../conda-bld/linux-64/python-3.5.0b4-0.tar.bz2
# This is what's called a package in conda

# Actually install the package
# This part is not documented well in the official conda tutorial so I
# figured it out by reading `conda install -h` message. I'm not sure if
# this is the official way to install, but it worked for me.
conda install --use-local ..../conda-bld/linux-64/python-3.5.0b4-0.tar.bz2

# Make sure if python has been installed
conda list | grep python

# Make sure a python-with-pydebug(ex. python3.5dm) was installed along with
# a normal python(ex. python3.5m) 
which python3.5
which python3.5dm

Hey Beomsoo, I'm trying to get this configuration working and I think I'm close, but having some issues that I wanted try to get your input on. I think I manage to compile Python with debug on Conda's end, but when I run cygdb in the directory of a properly compiled library, I get

Python Exception <type 'exceptions.ImportError'> No module named gdb: 
gdb: warning: 
Could not load the Python gdb module from `/usr/local/share/gdb/python'.
Limited Python support is available from the _gdb module.
Suggest passing --data-directory=/path/to/gdb/data-directory.
GNU gdb (GDB) 9.1
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License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
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There is NO WARRANTY, to the extent permitted by law.
Type "show copying" and "show warranty" for details.
This GDB was configured as "x86_64-apple-darwin19.4.0".
Type "show configuration" for configuration details.
For bug reporting instructions, please see:
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Traceback (most recent call last):
  File "<string>", line 11, in <module>
  File "/usr/local/opt/python@2/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/Cython/Debugger/libcython.py", line 19, in <module>
    import gdb
ImportError: No module named gdb
/var/folders/jb/dbcl7ts10z7bqhzmxb23g_lc0000gn/T/tmp9EJDYW:19: Error in sourced command file:
Error while executing Python code.

Any pointers on how to solve this? Thanks in advance!