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Greetings,
I am excited to launch a new career in Data Science and have been studying online courses at Udemy, and Elite Data Science. I have also been studying Python and R simultaneously, which is very exciting as well. I coded in C++ for a few year and created several Desktop applications for Windows during my career with Hewlett Packard, so I have some background in OOP. I also coded in C#, utilizing the .NET Core framework in Visual Studio 2019.
I am at the phase of my journey where I need to find a stable coding environment for my Data Science development process. I downloaded Anaconda 3 and have been using R Studio and Spider for my R and Python, respectively. I recently found the Intel Algorithms and installed the Distribution for Python, however, I am having a challenge getting Visual Studio 2019 working with Python as it does with Spyder. So, my question is the following:
1. Is it possible to work in Spyder with Intel Distribution for Python?
I tried to set the Intel Distribution for Python as my Python interpreter in the Spyder Tools/Preferences/Python interpreter, but that is not working because the kernel is failing or not responding.
Any guidance or recommendations that I can get to get a stable development for Python Data Science, utilizing the intel algorithms would be greatly appreciated.
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Hi,
Thanks for reaching out to us.
In order to solve your issue regarding spyder, could you please try out the below steps
Step 1: Create a virtual environment in Anaconda with required Intel Distribution for python.
For that, You need at least conda 4.1.11, so first update your conda using :
conda update conda
To get Intel packages over default packages, add the Intel channel as follows :
conda config --add channels intel
To install the latest full Intel python distribution :
conda create -n idp intelpython3_full python=3
Step 2: Activate your virtual environment with
activate idp
Step 3: Now, you have the virtual environment with intelpython installed. Now you have to install spyder additionally for the new environment with this command (after the activation of the environment with the command above):
conda install spyder
Step 4: After successful installation of spyder, launch the spyder from the current environment, just type:
spyder
Step 5: If you get any dependency issue while launching spyder like this
Traceback (most recent call last):
File "C:\Users\cjanardx\AppData\Local\Continuum\anaconda3\envs\IDP\lib\site-packages\qtpy\__init__.py", line 204, in <module>
from PySide import __version__ as PYSIDE_VERSION # analysis:ignore
ModuleNotFoundError: No module named 'PySide'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\cjanardx\AppData\Local\Continuum\anaconda3\envs\IDP\Scripts\spyder-script.py", line 10, in <module>
sys.exit(main())
File "C:\Users\cjanardx\AppData\Local\Continuum\anaconda3\envs\IDP\lib\site-packages\spyder\app\start.py", line 186, in main
from spyder.app import mainwindow
File "C:\Users\cjanardx\AppData\Local\Continuum\anaconda3\envs\IDP\lib\site-packages\spyder\app\mainwindow.py", line 48, in <module>
requirements.check_qt()
File "C:\Users\cjanardx\AppData\Local\Continuum\anaconda3\envs\IDP\lib\site-packages\spyder\requirements.py", line 41, in check_qt
import qtpy
File "C:\Users\cjanardx\AppData\Local\Continuum\anaconda3\envs\IDP\lib\site-packages\qtpy\__init__.py", line 210, in <module>
raise PythonQtError('No Qt bindings could be found')
qtpy.PythonQtError: No Qt bindings could be found
Solve it using:
pip install msgpack conda install qt=5.6 pyqt=5.6 sip=4.18
Step 6: After launching the spyder IDE, run the below command in the IPython console of spyder
import sys print(sys.executable)
check whether it takes the python interpreter from the virtual environment that you have created.
Recommendation :
1)Intel® AI DevCloud is the best development environment where you can do your machine learning and deep learning workloads on latest Intel hardware. You can develop and test your projects with latest Intel® optimized frameworks, tools, and libraries.
You can apply for Devcloud access in the below link :
https://software.intel.com/en-us/devcloud/datacenter
If you are having any difficulties getting started or connecting to the Intel® DevCloud, you can ask your questions in the Intel Devcloud forum.
https://software.intel.com/en-us/forums/intel-devcloud
2)Intel® AI Analytics Toolkit(Beta) which comes along with Intel oneAPI toolkit is another alternative to start your career with Datascience.It will accelerate your DL applications during training and inference with the Intel®-optimized DL frameworks like TensorFlow* and PyTorch*.
You can use the below link to download the toolkit and start your works using getting started instructions
https://software.intel.com/en-us/oneapi/ai-kit
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Hello,
thank you so much for the detailed instructions. I followed them to the best of my ability, starting with:
1. Installed Anaconda from its Web download link (64 Bit).
2. Tested launching Spyder with the new installation successfully.
3. Open-up the Anaconda command Line as the logged-on user, which is a member of the Administrator group on windows 10 (latest updated version).
4. From that (base) c:\users\Johnny.DATA>, I started the process posted above to the point where I called Spyder. I did not receive any errors, but Spyder did not launch. Is there any other troubleshooting that I can do to figure out why Python is not launching in this new environment?
BTW, I ran another test where I installed a new, clean environment and then Launched Spyder successfully; Following this successful launched, I then installed the intel tools like this: conda install intelpython3_full --> Python would not run after that install.
Posted below is what my Command Window looks like from the Spyder installation:
--------------------------------- Command windows Starts Here ---------------------------------------------
(base) C:\Users\Johnny.DATA>conda activate idp
Intel(R) MPI Library 2019 Update 5 for Windows* Target Build Environment for Intel(R) 64 applications
Copyright 2007-2019 Intel Corporation.
(idp) C:\Users\Johnny.DATA>conda install spyder
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\Johnny.DATA\AppData\Local\Continuum\anaconda3\envs\idp
added / updated specs:
- spyder
The following packages will be downloaded:
package | build
---------------------------|-----------------
alabaster-0.7.12 | py36_0 18 KB
backcall-0.1.0 | py36_2 18 KB intel
backports-1.0 | py36_9 4 KB intel
bleach-2.1.3 | py36_2 31 KB intel
decorator-4.3.0 | py36_3 33 KB intel
docutils-0.15.2 | py36_0 686 KB
entrypoints-0.2.3 | py36_2 9 KB intel
get_terminal_size-1.0.0 | py36_7 7 KB intel
html5lib-1.0.1 | py36_4 250 KB intel
imagesize-1.1.0 | py36_0 11 KB
ipykernel-5.1.3 | py36h39e3cac_0 168 KB
ipython-6.3.1 | py36_3 1.0 MB intel
ipython_genutils-0.2.0 | py36_2 37 KB intel
jedi-0.12.0 | py36_2 213 KB intel
jinja2-2.9.6 | py36_2 384 KB intel
jsonschema-2.6.0 | py36_2 86 KB intel
jupyter_client-5.3.3 | py36_1 162 KB
jupyter_core-4.4.0 | py36_6 100 KB intel
keyring-19.2.0 | py36_0 74 KB
markupsafe-1.0 | py36_3 26 KB intel
mistune-0.8.3 | py36_2 178 KB intel
nbconvert-5.2.1 | py36_2 407 KB intel
nbformat-4.4.0 | py36_2 157 KB intel
pandocfilters-1.4.1 | py36_2 12 KB intel
parso-0.2.0 | py36_2 113 KB intel
path.py-11.0.1 | py36_2 52 KB intel
pickleshare-0.7.4 | py36_3 11 KB intel
prompt_toolkit-1.0.15 | py36_2 333 KB intel
psutil-5.4.7 | py36hfa6e2cd_0 312 KB
pycodestyle-2.5.0 | py36_0 77 KB
pyflakes-2.1.1 | py36_0 123 KB
pygments-2.2.0 | py36_5 2.4 MB intel
pyqt-5.9.2 | py36h6538335_2 3.3 MB
pywin32-223 | py36hfa6e2cd_1 5.4 MB
pywin32-ctypes-0.2.0 | py36_0 41 KB
pyzmq-17.1.2 | py36hfa6e2cd_0 366 KB
qt-5.9.6 | vc14h62aca36_0 71.3 MB
qtconsole-4.6.0 | py_0 95 KB
simplegeneric-0.8.1 | py36_7 9 KB intel
sip-4.19.8 | py36h6538335_0 262 KB
sphinx-2.2.2 | py_0 1.4 MB
spyder-3.3.6 | py36_0 2.3 MB
spyder-kernels-0.5.2 | py36_0 70 KB
testpath-0.3.1 | py36_2 14 KB intel
tornado-4.5.2 | py36_5 621 KB intel
traitlets-4.3.2 | py36_3 128 KB intel
wcwidth-0.1.7 | py36_6 24 KB intel
webencodings-0.5.1 | py36_0 19 KB intel
win_unicode_console-0.5 | py36_2 30 KB intel
zeromq-4.2.5 | he025d50_1 4.5 MB
------------------------------------------------------------
Total: 97.2 MB
The following NEW packages will be INSTALLED:
alabaster pkgs/main/win-64::alabaster-0.7.12-py36_0
astroid pkgs/main/win-64::astroid-2.3.3-py36_0
babel pkgs/main/noarch::babel-2.7.0-py_0
backcall intel/win-64::backcall-0.1.0-py36_2
backports intel/win-64::backports-1.0-py36_9
bleach intel/win-64::bleach-2.1.3-py36_2
cloudpickle pkgs/main/noarch::cloudpickle-1.2.2-py_0
colorama intel/win-64::colorama-0.3.9-py36_2
decorator intel/win-64::decorator-4.3.0-py36_3
docutils pkgs/main/win-64::docutils-0.15.2-py36_0
entrypoints intel/win-64::entrypoints-0.2.3-py36_2
get_terminal_size intel/win-64::get_terminal_size-1.0.0-py36_7
html5lib intel/win-64::html5lib-1.0.1-py36_4
icu pkgs/main/win-64::icu-58.2-ha66f8fd_1
imagesize pkgs/main/win-64::imagesize-1.1.0-py36_0
ipykernel pkgs/main/win-64::ipykernel-5.1.3-py36h39e3cac_0
ipython intel/win-64::ipython-6.3.1-py36_3
ipython_genutils intel/win-64::ipython_genutils-0.2.0-py36_2
isort pkgs/main/win-64::isort-4.3.21-py36_0
jedi intel/win-64::jedi-0.12.0-py36_2
jinja2 intel/win-64::jinja2-2.9.6-py36_2
jpeg pkgs/main/win-64::jpeg-9b-hb83a4c4_2
jsonschema intel/win-64::jsonschema-2.6.0-py36_2
jupyter_client pkgs/main/win-64::jupyter_client-5.3.3-py36_1
jupyter_core intel/win-64::jupyter_core-4.4.0-py36_6
keyring pkgs/main/win-64::keyring-19.2.0-py36_0
lazy-object-proxy pkgs/main/win-64::lazy-object-proxy-1.3.1-py36hfa6e2cd_2
libsodium pkgs/main/win-64::libsodium-1.0.16-h9d3ae62_0
markupsafe intel/win-64::markupsafe-1.0-py36_3
mccabe pkgs/main/win-64::mccabe-0.6.1-py36_1
mistune intel/win-64::mistune-0.8.3-py36_2
nbconvert intel/win-64::nbconvert-5.2.1-py36_2
nbformat intel/win-64::nbformat-4.4.0-py36_2
numpydoc pkgs/main/noarch::numpydoc-0.9.1-py_0
packaging pkgs/main/noarch::packaging-19.2-py_0
pandocfilters intel/win-64::pandocfilters-1.4.1-py36_2
parso intel/win-64::parso-0.2.0-py36_2
path.py intel/win-64::path.py-11.0.1-py36_2
pickleshare intel/win-64::pickleshare-0.7.4-py36_3
prompt_toolkit intel/win-64::prompt_toolkit-1.0.15-py36_2
psutil pkgs/main/win-64::psutil-5.4.7-py36hfa6e2cd_0
pycodestyle pkgs/main/win-64::pycodestyle-2.5.0-py36_0
pyflakes pkgs/main/win-64::pyflakes-2.1.1-py36_0
pygments intel/win-64::pygments-2.2.0-py36_5
pylint pkgs/main/win-64::pylint-2.4.4-py36_0
pyqt pkgs/main/win-64::pyqt-5.9.2-py36h6538335_2
pywin32 pkgs/main/win-64::pywin32-223-py36hfa6e2cd_1
pywin32-ctypes pkgs/main/win-64::pywin32-ctypes-0.2.0-py36_0
pyzmq pkgs/main/win-64::pyzmq-17.1.2-py36hfa6e2cd_0
qt pkgs/main/win-64::qt-5.9.6-vc14h62aca36_0
qtawesome pkgs/main/noarch::qtawesome-0.6.0-py_0
qtconsole pkgs/main/noarch::qtconsole-4.6.0-py_0
qtpy pkgs/main/noarch::qtpy-1.9.0-py_0
rope pkgs/main/noarch::rope-0.14.0-py_0
simplegeneric intel/win-64::simplegeneric-0.8.1-py36_7
sip pkgs/main/win-64::sip-4.19.8-py36h6538335_0
snowballstemmer pkgs/main/noarch::snowballstemmer-2.0.0-py_0
sphinx pkgs/main/noarch::sphinx-2.2.2-py_0
sphinxcontrib-app~ pkgs/main/noarch::sphinxcontrib-applehelp-1.0.1-py_0
sphinxcontrib-dev~ pkgs/main/noarch::sphinxcontrib-devhelp-1.0.1-py_0
sphinxcontrib-htm~ pkgs/main/noarch::sphinxcontrib-htmlhelp-1.0.2-py_0
sphinxcontrib-jsm~ pkgs/main/noarch::sphinxcontrib-jsmath-1.0.1-py_0
sphinxcontrib-qth~ pkgs/main/noarch::sphinxcontrib-qthelp-1.0.2-py_0
sphinxcontrib-ser~ pkgs/main/noarch::sphinxcontrib-serializinghtml-1.1.3-py_0
spyder pkgs/main/win-64::spyder-3.3.6-py36_0
spyder-kernels pkgs/main/win-64::spyder-kernels-0.5.2-py36_0
testpath intel/win-64::testpath-0.3.1-py36_2
tornado intel/win-64::tornado-4.5.2-py36_5
traitlets intel/win-64::traitlets-4.3.2-py36_3
typed-ast pkgs/main/win-64::typed-ast-1.1.0-py36hfa6e2cd_0
wcwidth intel/win-64::wcwidth-0.1.7-py36_6
webencodings intel/win-64::webencodings-0.5.1-py36_0
win_unicode_conso~ intel/win-64::win_unicode_console-0.5-py36_2
wrapt pkgs/main/win-64::wrapt-1.10.11-py36hfa6e2cd_2
zeromq pkgs/main/win-64::zeromq-4.2.5-he025d50_1
Proceed (
Downloading and Extracting Packages
keyring-19.2.0 | 74 KB | ############################################## | 100%
spyder-3.3.6 | 2.3 MB | ############################################## | 100%
pyzmq-17.1.2 | 366 KB | ############################################## | 100%
pandocfilters-1.4.1 | 12 KB | ############################################## | 100%
pyqt-5.9.2 | 3.3 MB | ############################################## | 100%
pickleshare-0.7.4 | 11 KB | ############################################## | 100%
backcall-0.1.0 | 18 KB | ############################################## | 100%
entrypoints-0.2.3 | 9 KB | ############################################## | 100%
spyder-kernels-0.5.2 | 70 KB | ############################################## | 100%
alabaster-0.7.12 | 18 KB | ############################################## | 100%
pycodestyle-2.5.0 | 77 KB | ############################################## | 100%
win_unicode_console- | 30 KB | ############################################## | 100%
imagesize-1.1.0 | 11 KB | ############################################## | 100%
nbformat-4.4.0 | 157 KB | ############################################## | 100%
pywin32-223 | 5.4 MB | ############################################## | 100%
pywin32-ctypes-0.2.0 | 41 KB | ############################################## | 100%
path.py-11.0.1 | 52 KB | ############################################## | 100%
traitlets-4.3.2 | 128 KB | ############################################## | 100%
parso-0.2.0 | 113 KB | ############################################## | 100%
markupsafe-1.0 | 26 KB | ############################################## | 100%
qt-5.9.6 | 71.3 MB | ############################################## | 100%
qtconsole-4.6.0 | 95 KB | ############################################## | 100%
testpath-0.3.1 | 14 KB | ############################################## | 100%
nbconvert-5.2.1 | 407 KB | ############################################## | 100%
docutils-0.15.2 | 686 KB | ############################################## | 100%
zeromq-4.2.5 | 4.5 MB | ############################################## | 100%
tornado-4.5.2 | 621 KB | ############################################## | 100%
pygments-2.2.0 | 2.4 MB | ############################################## | 100%
get_terminal_size-1. | 7 KB | ############################################## | 100%
ipython_genutils-0.2 | 37 KB | ############################################## | 100%
sip-4.19.8 | 262 KB | ############################################## | 100%
sphinx-2.2.2 | 1.4 MB | ############################################## | 100%
jinja2-2.9.6 | 384 KB | ############################################## | 100%
backports-1.0 | 4 KB | ############################################## | 100%
prompt_toolkit-1.0.1 | 333 KB | ############################################## | 100%
decorator-4.3.0 | 33 KB | ############################################## | 100%
html5lib-1.0.1 | 250 KB | ############################################## | 100%
ipykernel-5.1.3 | 168 KB | ############################################## | 100%
psutil-5.4.7 | 312 KB | ############################################## | 100%
jedi-0.12.0 | 213 KB | ############################################## | 100%
ipython-6.3.1 | 1.0 MB | ############################################## | 100%
jsonschema-2.6.0 | 86 KB | ############################################## | 100%
mistune-0.8.3 | 178 KB | ############################################## | 100%
jupyter_core-4.4.0 | 100 KB | ############################################## | 100%
pyflakes-2.1.1 | 123 KB | ############################################## | 100%
wcwidth-0.1.7 | 24 KB | ############################################## | 100%
bleach-2.1.3 | 31 KB | ############################################## | 100%
simplegeneric-0.8.1 | 9 KB | ############################################## | 100%
jupyter_client-5.3.3 | 162 KB | ############################################## | 100%
webencodings-0.5.1 | 19 KB | ############################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: | DEBUG menuinst_win32:__init__(199): Menu: name: 'Anaconda${PY_VER} ${PLATFORM}', prefix: 'C:\Users\Johnny.DATA\AppData\Local\Continuum\anaconda3\envs\idp', env_name: 'idp', mode: 'user', used_mode: 'user'
DEBUG menuinst_win32:create(323): Shortcut cmd is C:\Users\Johnny.DATA\AppData\Local\Continuum\anaconda3\python.exe, args are ['C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\cwp.py', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp\\python.exe', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp\\Scripts\\ipython-script.py']
DEBUG menuinst_win32:__init__(199): Menu: name: 'Anaconda${PY_VER} ${PLATFORM}', prefix: 'C:\Users\Johnny.DATA\AppData\Local\Continuum\anaconda3\envs\idp', env_name: 'idp', mode: 'user', used_mode: 'user'
/ DEBUG menuinst_win32:create(323): Shortcut cmd is C:\Users\Johnny.DATA\AppData\Local\Continuum\anaconda3\pythonw.exe, args are ['C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\cwp.py', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp\\pythonw.exe', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp\\Scripts\\spyder-script.py']
DEBUG menuinst_win32:create(323): Shortcut cmd is C:\Users\Johnny.DATA\AppData\Local\Continuum\anaconda3\python.exe, args are ['C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\cwp.py', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp\\python.exe', 'C:\\Users\\Johnny.DATA\\AppData\\Local\\Continuum\\anaconda3\\envs\\idp\\Scripts\\spyder-script.py', '--reset']
done
Intel(R) MPI Library 2019 Update 5 for Windows* Target Build Environment for Intel(R) 64 applications
Copyright 2007-2019 Intel Corporation.
(idp) C:\Users\Johnny.DATA>spyder
(idp) C:\Users\Johnny.DATA>
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Hi,
Thanks for responding. We need some more information to debug the issue.
- Could you please clarify whether the following steps worked without errors before calling "spyder" command.
conda create -n idp intelpython3_full python=3 activate idp conda install spyder
Please note that if you are installing "intelpython3_full" separately and not within the conda create command you should perform that step before launching spyder.
activate idp conda install intelpython3_full conda install spyder spyder
- After successful launch of spyder you can check the environment as in the attached screenshot.
Please provide the output of "conda list " command after activating environment if you are still facing any issues.
Hope this helps.
Thanks.
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Hi,
Thank you for responding; I am having trouble getting the integration to work on my local area; for some odd reasons, I am unable to reach a succesfull development environment with the Intel distribution for Python. I am sure it is probably a small gap that I can't figure out, but I am willing to keep at it until I am able to get it working. When I reached the End of the installation, I typed spyder and it spins for a few seconds, and then nothing happened...
I have been at it for two days so far. Here is what I am doing for your verification:
----------------------------------------------------- installation starts here --------------------------------
(base) C:\Users\Johnny>conda create -n idp2 intelpython3_full python=3
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\Johnny\.conda\envs\idp2
added / updated specs:
- intelpython3_full
- python=3
The following NEW packages will be INSTALLED:
asn1crypto intel/win-64::asn1crypto-0.24.0-py36_3
bzip2 intel/win-64::bzip2-1.0.6-vc14_18
certifi intel/win-64::certifi-2018.1.18-py36_2
cffi intel/win-64::cffi-1.11.5-py36_3
chardet intel/win-64::chardet-3.0.4-py36_3
cryptography intel/win-64::cryptography-2.3-py36_2
cycler intel/win-64::cycler-0.10.0-py36_7
cython intel/win-64::cython-0.29.13-py36ha68da19_0
daal intel/win-64::daal-2019.5-intel_281
daal4py intel/win-64::daal4py-2019.5-py36ha68da19_2
freetype intel/win-64::freetype-2.9-vc14_4
funcsigs intel/win-64::funcsigs-1.0.2-py36_7
icc_rt intel/win-64::icc_rt-2019.5-intel_281
idna intel/win-64::idna-2.6-py36_3
impi_rt intel/win-64::impi_rt-2019.5-intel_281
intel-openmp intel/win-64::intel-openmp-2019.5-intel_281
intelpython intel/win-64::intelpython-2019.5-0
intelpython3_core intel/win-64::intelpython3_core-2019.5-0
intelpython3_full intel/win-64::intelpython3_full-2019.5-0
joblib intel/win-64::joblib-0.13.2-py36_1
kiwisolver intel/win-64::kiwisolver-1.0.1-py36_2
libpng intel/win-64::libpng-1.6.36-vc14_2
llvmlite intel/win-64::llvmlite-0.27.1-py36_0
matplotlib intel/win-64::matplotlib-3.1.1-py36_2
menuinst intel/win-64::menuinst-1.4.1-py36_6
mkl intel/win-64::mkl-2019.5-intel_281
mkl-service intel/win-64::mkl-service-2.3.0-py36_0
mkl_fft intel/win-64::mkl_fft-1.0.14-py36ha68da19_1
mkl_random intel/win-64::mkl_random-1.0.4-py36ha68da19_2
mpi4py intel/win-64::mpi4py-3.0.0-py36_6
numba intel/win-64::numba-0.42.1-np117py36_2
numexpr intel/win-64::numexpr-2.6.9-py36_0
numpy intel/win-64::numpy-1.17.0-py36ha68da19_13
numpy-base intel/win-64::numpy-base-1.17.0-py36_13
openssl intel/win-64::openssl-1.0.2s-vc14_0
pandas intel/win-64::pandas-0.25.0-py36_5
pip intel/win-64::pip-19.1.1-py36_0
pycosat intel/win-64::pycosat-0.6.3-py36_3
pycparser intel/win-64::pycparser-2.18-py36_2
pyopenssl intel/win-64::pyopenssl-17.5.0-py36_2
pyparsing intel/win-64::pyparsing-2.2.0-py36_2
pysocks intel/win-64::pysocks-1.6.7-py36_1
python intel/win-64::python-3.6.9-5
python-dateutil intel/win-64::python-dateutil-2.8.0-py36_0
pytz intel/win-64::pytz-2019.1-py36_0
pyyaml intel/win-64::pyyaml-5.1.1-py36_0
requests intel/win-64::requests-2.20.1-py36_1
ruamel_yaml intel/win-64::ruamel_yaml-0.11.14-py36_4
scikit-learn intel/win-64::scikit-learn-0.21.3-py36ha68da19_4
scipy intel/win-64::scipy-1.3.1-py36ha68da19_2
setuptools intel/win-64::setuptools-41.0.1-py36_0
six intel/win-64::six-1.12.0-py36_0
sqlite intel/win-64::sqlite-3.28.0-vc14_0
tbb intel/win-64::tbb-2019.8-vc14_intel_281
tbb4py intel/win-64::tbb4py-2019.8-py36_intel_0
tcl intel/win-64::tcl-8.6.4-vc14_24
tk intel/win-64::tk-8.6.4-vc14_29
urllib3 intel/win-64::urllib3-1.24.1-py36_2
vc intel/win-64::vc-14.0-2
vs2008_runtime intel/win-64::vs2008_runtime-9.00.30729.6161-intel_2
vs2015_runtime intel/win-64::vs2015_runtime-14.0.25420-intel_2
wheel intel/win-64::wheel-0.31.0-py36_3
win_inet_pton intel/win-64::win_inet_pton-1.0.1-py36_4
wincertstore intel/win-64::wincertstore-0.2-py36_3
xz intel/win-64::xz-5.2.4-vc14_5
zlib intel/win-64::zlib-1.2.11-vc14h21ff451_5
Proceed (
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate idp2
#
# To deactivate an active environment, use
#
# $ conda deactivate
(base) C:\Users\Johnny>activate idp2
Intel(R) MPI Library 2019 Update 5 for Windows* Target Build Environment for Intel(R) 64 applications
Copyright 2007-2019 Intel Corporation.
(idp2) C:\Users\Johnny>conda install spyder
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\Johnny\.conda\envs\idp2
added / updated specs:
- spyder
The following NEW packages will be INSTALLED:
alabaster pkgs/main/win-64::alabaster-0.7.12-py36_0
astroid pkgs/main/win-64::astroid-2.3.3-py36_0
babel pkgs/main/noarch::babel-2.7.0-py_0
backcall intel/win-64::backcall-0.1.0-py36_2
backports intel/win-64::backports-1.0-py36_9
bleach intel/win-64::bleach-2.1.3-py36_2
cloudpickle pkgs/main/noarch::cloudpickle-1.2.2-py_0
colorama intel/win-64::colorama-0.3.9-py36_2
decorator intel/win-64::decorator-4.3.0-py36_3
docutils pkgs/main/win-64::docutils-0.15.2-py36_0
entrypoints intel/win-64::entrypoints-0.2.3-py36_2
get_terminal_size intel/win-64::get_terminal_size-1.0.0-py36_7
html5lib intel/win-64::html5lib-1.0.1-py36_4
icu pkgs/main/win-64::icu-58.2-ha66f8fd_1
imagesize pkgs/main/win-64::imagesize-1.1.0-py36_0
ipykernel pkgs/main/win-64::ipykernel-5.1.3-py36h39e3cac_0
ipython intel/win-64::ipython-6.3.1-py36_3
ipython_genutils intel/win-64::ipython_genutils-0.2.0-py36_2
isort pkgs/main/win-64::isort-4.3.21-py36_0
jedi intel/win-64::jedi-0.12.0-py36_2
jinja2 intel/win-64::jinja2-2.9.6-py36_2
jpeg pkgs/main/win-64::jpeg-9b-hb83a4c4_2
jsonschema intel/win-64::jsonschema-2.6.0-py36_2
jupyter_client pkgs/main/win-64::jupyter_client-5.3.3-py36_1
jupyter_core intel/win-64::jupyter_core-4.4.0-py36_6
keyring pkgs/main/win-64::keyring-19.2.0-py36_0
lazy-object-proxy pkgs/main/win-64::lazy-object-proxy-1.3.1-py36hfa6e2cd_2
libsodium pkgs/main/win-64::libsodium-1.0.16-h9d3ae62_0
markupsafe intel/win-64::markupsafe-1.0-py36_3
mccabe pkgs/main/win-64::mccabe-0.6.1-py36_1
mistune intel/win-64::mistune-0.8.3-py36_2
nbconvert intel/win-64::nbconvert-5.2.1-py36_2
nbformat intel/win-64::nbformat-4.4.0-py36_2
numpydoc pkgs/main/noarch::numpydoc-0.9.1-py_0
packaging pkgs/main/noarch::packaging-19.2-py_0
pandocfilters intel/win-64::pandocfilters-1.4.1-py36_2
parso intel/win-64::parso-0.2.0-py36_2
path.py intel/win-64::path.py-11.0.1-py36_2
pickleshare intel/win-64::pickleshare-0.7.4-py36_3
prompt_toolkit intel/win-64::prompt_toolkit-1.0.15-py36_2
psutil pkgs/main/win-64::psutil-5.4.7-py36hfa6e2cd_0
pycodestyle pkgs/main/win-64::pycodestyle-2.5.0-py36_0
pyflakes pkgs/main/win-64::pyflakes-2.1.1-py36_0
pygments intel/win-64::pygments-2.2.0-py36_5
pylint pkgs/main/win-64::pylint-2.4.4-py36_0
pyqt pkgs/main/win-64::pyqt-5.9.2-py36h6538335_2
pywin32 pkgs/main/win-64::pywin32-223-py36hfa6e2cd_1
pywin32-ctypes pkgs/main/win-64::pywin32-ctypes-0.2.0-py36_0
pyzmq pkgs/main/win-64::pyzmq-17.1.2-py36hfa6e2cd_0
qt pkgs/main/win-64::qt-5.9.6-vc14h62aca36_0
qtawesome pkgs/main/noarch::qtawesome-0.6.0-py_0
qtconsole pkgs/main/noarch::qtconsole-4.6.0-py_0
qtpy pkgs/main/noarch::qtpy-1.9.0-py_0
rope pkgs/main/noarch::rope-0.14.0-py_0
simplegeneric intel/win-64::simplegeneric-0.8.1-py36_7
sip pkgs/main/win-64::sip-4.19.8-py36h6538335_0
snowballstemmer pkgs/main/noarch::snowballstemmer-2.0.0-py_0
sphinx pkgs/main/noarch::sphinx-2.2.2-py_0
sphinxcontrib-app~ pkgs/main/noarch::sphinxcontrib-applehelp-1.0.1-py_0
sphinxcontrib-dev~ pkgs/main/noarch::sphinxcontrib-devhelp-1.0.1-py_0
sphinxcontrib-htm~ pkgs/main/noarch::sphinxcontrib-htmlhelp-1.0.2-py_0
sphinxcontrib-jsm~ pkgs/main/noarch::sphinxcontrib-jsmath-1.0.1-py_0
sphinxcontrib-qth~ pkgs/main/noarch::sphinxcontrib-qthelp-1.0.2-py_0
sphinxcontrib-ser~ pkgs/main/noarch::sphinxcontrib-serializinghtml-1.1.3-py_0
spyder pkgs/main/win-64::spyder-3.3.6-py36_0
spyder-kernels pkgs/main/win-64::spyder-kernels-0.5.2-py36_0
testpath intel/win-64::testpath-0.3.1-py36_2
tornado intel/win-64::tornado-4.5.2-py36_5
traitlets intel/win-64::traitlets-4.3.2-py36_3
typed-ast pkgs/main/win-64::typed-ast-1.1.0-py36hfa6e2cd_0
wcwidth intel/win-64::wcwidth-0.1.7-py36_6
webencodings intel/win-64::webencodings-0.5.1-py36_0
win_unicode_conso~ intel/win-64::win_unicode_console-0.5-py36_2
wrapt pkgs/main/win-64::wrapt-1.10.11-py36hfa6e2cd_2
zeromq pkgs/main/win-64::zeromq-4.2.5-he025d50_1
Proceed (
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Intel(R) MPI Library 2019 Update 5 for Windows* Target Build Environment for Intel(R) 64 applications
Copyright 2007-2019 Intel Corporation.
(idp2) C:\Users\Johnny>spyder
(idp2) C:\Users\Johnny>
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Here is my Conda list:
(idp2) C:\Users\Johnny>conda list
# packages in environment at C:\Users\Johnny\.conda\envs\idp2:
#
# Name Version Build Channel
alabaster 0.7.12 py36_0
asn1crypto 0.24.0 py36_3 intel
astroid 2.3.3 py36_0
babel 2.7.0 py_0
backcall 0.1.0 py36_2 intel
backports 1.0 py36_9 intel
bleach 2.1.3 py36_2 intel
bzip2 1.0.6 vc14_18 [vc14] intel
certifi 2018.1.18 py36_2 intel
cffi 1.11.5 py36_3 intel
chardet 3.0.4 py36_3 intel
cloudpickle 1.2.2 py_0
colorama 0.3.9 py36_2 intel
cryptography 2.3 py36_2 intel
cycler 0.10.0 py36_7 intel
cython 0.29.13 py36ha68da19_0 intel
daal 2019.5 intel_281 intel
daal4py 2019.5 py36ha68da19_2 intel
decorator 4.3.0 py36_3 intel
docutils 0.15.2 py36_0
entrypoints 0.2.3 py36_2 intel
freetype 2.9 vc14_4 [vc14] intel
funcsigs 1.0.2 py36_7 intel
get_terminal_size 1.0.0 py36_7 intel
html5lib 1.0.1 py36_4 intel
icc_rt 2019.5 intel_281 intel
icu 58.2 ha66f8fd_1
idna 2.6 py36_3 intel
imagesize 1.1.0 py36_0
impi_rt 2019.5 intel_281 intel
intel-openmp 2019.5 intel_281 intel
intelpython 2019.5 0 intel
intelpython3_core 2019.5 0 intel
intelpython3_full 2019.5 0 intel
ipykernel 5.1.3 py36h39e3cac_0
ipython 6.3.1 py36_3 intel
ipython_genutils 0.2.0 py36_2 intel
isort 4.3.21 py36_0
jedi 0.12.0 py36_2 intel
jinja2 2.9.6 py36_2 intel
joblib 0.13.2 py36_1 intel
jpeg 9b hb83a4c4_2
jsonschema 2.6.0 py36_2 intel
jupyter_client 5.3.3 py36_1
jupyter_core 4.4.0 py36_6 intel
keyring 19.2.0 py36_0
kiwisolver 1.0.1 py36_2 intel
lazy-object-proxy 1.3.1 py36hfa6e2cd_2
libpng 1.6.36 vc14_2 [vc14] intel
libsodium 1.0.16 h9d3ae62_0
llvmlite 0.27.1 py36_0 intel
markupsafe 1.0 py36_3 intel
matplotlib 3.1.1 py36_2 intel
mccabe 0.6.1 py36_1
menuinst 1.4.1 py36_6 intel
mistune 0.8.3 py36_2 intel
mkl 2019.5 intel_281 intel
mkl-service 2.3.0 py36_0 intel
mkl_fft 1.0.14 py36ha68da19_1 intel
mkl_random 1.0.4 py36ha68da19_2 intel
mpi4py 3.0.0 py36_6 intel
nbconvert 5.2.1 py36_2 intel
nbformat 4.4.0 py36_2 intel
numba 0.42.1 np117py36_2 intel
numexpr 2.6.9 py36_0 intel
numpy 1.17.0 py36ha68da19_13 intel
numpy-base 1.17.0 py36_13 intel
numpydoc 0.9.1 py_0
openssl 1.0.2s vc14_0 [vc14] intel
packaging 19.2 py_0
pandas 0.25.0 py36_5 intel
pandocfilters 1.4.1 py36_2 intel
parso 0.2.0 py36_2 intel
path.py 11.0.1 py36_2 intel
pickleshare 0.7.4 py36_3 intel
pip 19.1.1 py36_0 intel
prompt_toolkit 1.0.15 py36_2 intel
psutil 5.4.7 py36hfa6e2cd_0
pycodestyle 2.5.0 py36_0
pycosat 0.6.3 py36_3 intel
pycparser 2.18 py36_2 intel
pyflakes 2.1.1 py36_0
pygments 2.2.0 py36_5 intel
pylint 2.4.4 py36_0
pyopenssl 17.5.0 py36_2 intel
pyparsing 2.2.0 py36_2 intel
pyqt 5.9.2 py36h6538335_2
pysocks 1.6.7 py36_1 intel
python 3.6.9 5 intel
python-dateutil 2.8.0 py36_0 intel
pytz 2019.1 py36_0 intel
pywin32 223 py36hfa6e2cd_1
pywin32-ctypes 0.2.0 py36_0
pyyaml 5.1.1 py36_0 intel
pyzmq 17.1.2 py36hfa6e2cd_0
qt 5.9.6 vc14h62aca36_0
qtawesome 0.6.0 py_0
qtconsole 4.6.0 py_0
qtpy 1.9.0 py_0
requests 2.20.1 py36_1 intel
rope 0.14.0 py_0
ruamel_yaml 0.11.14 py36_4 intel
scikit-learn 0.21.3 py36ha68da19_4 intel
scipy 1.3.1 py36ha68da19_2 intel
setuptools 41.0.1 py36_0 intel
simplegeneric 0.8.1 py36_7 intel
sip 4.19.8 py36h6538335_0
six 1.12.0 py36_0 intel
snowballstemmer 2.0.0 py_0
sphinx 2.2.2 py_0
sphinxcontrib-applehelp 1.0.1 py_0
sphinxcontrib-devhelp 1.0.1 py_0
sphinxcontrib-htmlhelp 1.0.2 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.2 py_0
sphinxcontrib-serializinghtml 1.1.3 py_0
spyder 3.3.6 py36_0
spyder-kernels 0.5.2 py36_0
sqlite 3.28.0 vc14_0 [vc14] intel
tbb 2019.8 vc14_intel_281 [vc14] intel
tbb4py 2019.8 py36_intel_0 [vc14] intel
tcl 8.6.4 vc14_24 [vc14] intel
testpath 0.3.1 py36_2 intel
tk 8.6.4 vc14_29 [vc14] intel
tornado 4.5.2 py36_5 intel
traitlets 4.3.2 py36_3 intel
typed-ast 1.1.0 py36hfa6e2cd_0
urllib3 1.24.1 py36_2 intel
vc 14.0 2 intel
vs2008_runtime 9.00.30729.6161 intel_2 intel
vs2015_runtime 14.0.25420 intel_2 intel
wcwidth 0.1.7 py36_6 intel
webencodings 0.5.1 py36_0 intel
wheel 0.31.0 py36_3 intel
win_inet_pton 1.0.1 py36_4 intel
win_unicode_console 0.5 py36_2 intel
wincertstore 0.2 py36_3 intel
wrapt 1.10.11 py36hfa6e2cd_2
xz 5.2.4 vc14_5 [vc14] intel
zeromq 4.2.5 he025d50_1
zlib 1.2.11 vc14h21ff451_5 [vc14] intel
(idp2) C:\Users\Johnny>
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Hi,
Thank you for your response.
From your conda list we found the versions of the packages as "pyqt = 5.9.2 , qt = 5.9.6 , sip = 4.19.8 ". Please uninstall these and try installing the following specified version of the packages.
pyqt = 5.6 , qt=5.6 , sip=4.18
Kindly use the below commands to install the required versions,
conda install pyqt=5.6
Through this command qt=5.6 and sip=4.18 will get installed by default.
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Hi,
Could you please confirm whether the issue is solved or not?
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Thank you for your research. I was also doing some research on my side, while I waited for your reply. I had a much newer PC in my Office, a Dell XPS with an Intel Core i7-8700 chip, enhanced with 32 Gig of RAM. I installed Anaconda on it and when I looked at the Environment area, there was a CondaEnv that was already created. I cloned it into an Intel Environment and installed the latest version of Spyder (4.0) and Daal4py. Spyder started right up and I was able to run some code with the dall4py library. Once I discovered this working environment, I copied the environment and its contents and dropped it into the Conda envs folder of my two Home Office PCs. that was having trouble with Spyder and Daal4py, etc... At home, I only needed to reinstall the QT libraries and I was all set to go with Spyder 4 on all my computers. Joyful - joyful... This is a typical starter library set that I am able to use to test and train my data. I have not done too much yet, since I am still learning, but, I am ready to start learning with daal4py for Python and Microsoft R Open and its libraries for R. Thank you so much for your support and response.
# install.packages("numpy")
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
import pandas as pd
import daal4py as d4p
from daal4py import kmeans_init
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Hi,
Glad to hear that spyder is working for you after installing the specified libraries.
Could you please confirm whether you are able run to the python code after launching spyder?
Please feel free to get back to us in case you face any issues. We will be glad to assist you.
Thanks.
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Hello Chithra,
I have not had a chance to run some meaningful analysis yet; I was preparing my environment for doing just that. So, since you asked; would yo mind sending me a link to a nice training article or data set with instructions that I can use to practice with daal4py?
All the articles that I have read so far takes for granted that I am already well versed in data science and know much more than lead on,. so I am mostly lost in translation and do not fully comprehend most of the jargon or instructions from the articles.For example, take a look at these two amazing pages from Intel about the new code upgrade that was sent out yesterday:
https://software.intel.com/en-us/mkl
https://software.intel.com/en-us/get-started-with-daal-for-windows
They are both GREAT and I would love to tackle them, but they flew right above my head right now.
Please feel free to point me to a more simpler direction that I can crawl into...
Warmest regards.
Johnny
Chithra_Intel (Intel) wrote:Hi,
Glad to hear that spyder is working for you after installing the specified libraries.
Could you please confirm whether you are able run to the python code after launching spyder?
Please feel free to get back to us in case you face any issues. We will be glad to assist you.
Thanks.
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Hi,
Thanks for the confirmation that your spyder issue was resolved. We are closing this case.
Could you please raise a new thread for further queries, so that we can give more support to you.

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