What's the command to find out version of gcc is used inside a conda virtual environment?

I have a program to be compiled in which I need to have gcc.

However, when a python 2.7 virtual conda enviornment being installed, it needs gcc. So I believe I don't have to install gcc package seperately inside the enviornment. Is this true? And how do I actually see this?

Furthermore, gcc has already been installed in the system itself. I do not want the program to use this system gcc when it's compiling but to use the gcc version which is inside the enviornment. How do I actually test this? Thanks in advance!

This discussion might be useful.

according to this post "If you download python binaries, it's already compiled and doesn't use your gcc"

So to reprase my question, can we use the gcc inside the virtual to compile the program? or do I have to install gcc inside the env?

     (yourenvname) ~$gcc -v
        Using built-in specs.
        COLLECT_GCC=gcc
        COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/7/lto-wrapper
        OFFLOAD_TARGET_NAMES=nvptx-none
        OFFLOAD_TARGET_DEFAULT=1
        Target: x86_64-linux-gnu
        Configured with: ../src/configure -v --with-pkgversion='Ubuntu 7.2.0-8ubuntu3.2' --with-bugurl=file:///usr/share/doc/gcc-7/README.Bugs --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --prefix=/usr --with-gcc-major-version-only --program-suffix=-7 --program-prefix=x86_64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-vtable-verify --enable-libmpx --enable-plugin --enable-default-pie --with-system-zlib --with-target-system-zlib --enable-objc-gc=auto --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-offload-targets=nvptx-none --without-cuda-driver --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu
Thread model: posix    
gcc version 7.2.0 (Ubuntu 7.2.0-8ubuntu3.2) 


(yourenvname) ~$python
Python 2.7.16 |Anaconda, Inc.| (default, Mar 14 2019, 21:00:58) 
[GCC 7.3.0] on linux2
Type "help", "copyright", "credits" or "license" for more information.