installing any package= impossible headache

[snippsat]

There are still some headache for new user with packages which has a lot of dependencies in a Windows environment.
It have gotten better with Python 3.6 and pip 9.0.1.

I have a tutorial here about Anaconda,
which can help new user with install and dependencies,
specially for data science stuff where people need a lot of packages.
As i mention in tutorial there is no problem to have both installed.

So to look at how conda handles movipy with conda install moviepy

G:\Anaconda3\Scripts
λ conda install moviepy
Fetching package metadata ...............
Solving package specifications: .

Package plan for installation in environment G:\Anaconda3:

The following NEW packages will be INSTALLED:

    backports.functools_lru_cache: 1.4-py36_1            conda-forge
    ca-certificates:               2017.7.27.1-0         conda-forge
    ffmpeg:                        3.2.4-1               conda-forge
    krb5:                          1.14.2-vc14_0         conda-forge [vc14]
    libssh2:                       1.8.0-vc14_2          conda-forge [vc14]
    moviepy:                       0.2.3.2-py36_0        conda-forge
    tqdm:                          4.11.2-py36_0         conda-forge

The following packages will be UPDATED:

    curl:                          7.52.1-vc14_0                     --> 7.55.1-vc14_0         conda-forge [vc14]
    h5py:                          2.7.0-np111py36_0                 --> 2.7.1-py36_1          conda-forge
    hdf5:                          1.8.15.1-vc14_4                   --> 1.8.18-vc14_2         conda-forge [vc14]
    icu:                           57.1-vc14_0                       --> 58.1-vc14_1           conda-forge [vc14]
    jpeg:                          9b-vc14_0                         --> 9b-vc14_1             conda-forge [vc14]
    pycurl:                        7.43.0-py36_2                     --> 7.43.0-py36h086bf4c_3
    pytables:                      3.2.2-np111py36_4                 --> 3.4.2-np111py36_4     conda-forge
    tk:                            8.5.18-vc14_0                     --> 8.6.6-vc14_5          conda-forge [vc14]

The following packages will be SUPERSEDED by a higher-priority channel:

    bzip2:                         1.0.6-vc14_3                      --> 1.0.6-vc14_1          conda-forge [vc14]
    conda:                         4.3.30-py36h7e176b0_0             --> 4.3.29-py36_0         conda-forge
    conda-env:                     2.6.0-h36134e3_1                  --> 2.6.0-0               conda-forge
    freetype:                      2.8-vc14h17c9bdf_0                --> 2.7-vc14_1            conda-forge [vc14]
    imageio:                       2.2.0-py36had6c2d2_0              --> 2.1.2-py36_0          conda-forge
    libpng:                        1.6.32-vc14h5163883_3             --> 1.6.28-vc14_2         conda-forge [vc14]
    libtiff:                       4.0.8-vc14h04e2a1e_10             --> 4.0.6-vc14_7          conda-forge [vc14]
    matplotlib:                    2.1.0-py36h11b4b9c_0              --> 2.1.0-py36_0          conda-forge
    openssl:                       1.0.2l-vc14_0                     --> 1.0.2l-vc14_0         conda-forge [vc14]
    pillow:                        4.2.1-py36hdb25ab2_0              --> 4.2.1-py36_0          conda-forge
    qt:                            5.6.2-vc14_4                      --> 5.6.2-vc14_1          conda-forge [vc14]
    zlib:                          1.2.11-vc14h1cdd9ab_1             --> 1.2.11-vc14_0         conda-forge [vc14]

Proceed ([y]/n)? y

ca-certificate 100% |###############################| Time: 0:00:00 281.62 kB/s
conda-env-2.6. 100% |###############################| Time: 0:00:00  25.15 kB/s
ffmpeg-3.2.4-1 100% |###############################| Time: 0:00:06   2.69 MB/s
bzip2-1.0.6-vc 100% |###############################| Time: 0:00:00   1.09 MB/s
jpeg-9b-vc14_1 100% |###############################| Time: 0:00:00 896.36 kB/s
krb5-1.14.2-vc 100% |###############################| Time: 0:00:00   2.08 MB/s
openssl-1.0.2l 100% |###############################| Time: 0:00:01   3.08 MB/s
zlib-1.2.11-vc 100% |###############################| Time: 0:00:00   2.97 MB/s
hdf5-1.8.18-vc 100% |###############################| Time: 0:00:04   2.98 MB/s
icu-58.1-vc14_ 100% |###############################| Time: 0:00:07   3.10 MB/s
libpng-1.6.28- 100% |###############################| Time: 0:00:00   2.24 MB/s
libssh2-1.8.0- 100% |###############################| Time: 0:00:00   3.05 MB/s
libtiff-4.0.6- 100% |###############################| Time: 0:00:00   2.98 MB/s
tk-8.6.6-vc14_ 100% |###############################| Time: 0:00:01   2.91 MB/s
curl-7.55.1-vc 100% |###############################| Time: 0:00:00   3.08 MB/s
freetype-2.7-v 100% |###############################| Time: 0:00:00   3.04 MB/s
qt-5.6.2-vc14_ 100% |###############################| Time: 0:00:18   3.15 MB/s
tqdm-4.11.2-py 100% |###############################| Time: 0:00:00   3.05 MB/s
backports.func 100% |###############################| Time: 0:00:00   2.72 MB/s
h5py-2.7.1-py3 100% |###############################| Time: 0:00:00   1.87 MB/s
pillow-4.2.1-p 100% |###############################| Time: 0:00:00   2.94 MB/s
pycurl-7.43.0- 100% |###############################| Time: 0:00:00   2.65 MB/s
imageio-2.1.2- 100% |###############################| Time: 0:00:01   2.66 MB/s
matplotlib-2.1 100% |###############################| Time: 0:00:02   3.01 MB/s
pytables-3.4.2 100% |###############################| Time: 0:00:01   2.63 MB/s
moviepy-0.2.3. 100% |###############################| Time: 0:00:00   3.05 MB/s
conda-4.3.29-p 100% |###############################| Time: 0:00:00   2.33 MB/s

G:\Anaconda3\Scripts

Se how all dependencies is found,and of course SciPy and NumPy is already a part of Anaconda.
Scipy and Numpy had been updated if there was a need for it.