When I pip install or conda install "threading" I get an error saying it cannot be found, I am having a similar problem with Queue. Does Anaconda only fetch 64-bit libraries? I am trying to go through Parallel Programming with Python.
How do I install this library correctly?
Is any other information is needed?
Have you tried "import threading" and "import Queue" in your code? They are both standard libs in Python. There should be no need for an install.
Related
I'm a little confused with package install in anaconda environment.
I can install my python packagse in the following ways.
open anaconda prompt and do : conda install tensorflow
launch an jupyter notebook from anaconda prompt, choose the default python kernel, and do:
!pip install tensorflow
Can someone tell me what is the difference between these two cases? Where are the python packages installed? What happens when I pip install python packages in default kernel in jupyter notebook?
I was able to install tensorflow in jupyter notebook in default kernel (python3), but trying to import tensorflow give me module note found error. Does anyone know why that happened? What is happening under the hood? Very much appreciate any help to clarification.
pip is the default package manager that ships with python. Conda is also a package manager, but it is third party. Conda was made especially for data science libraries. Libraries installed with conda usually give much better performance than pip. In pip, the packages are stored in python/scripts and conda stores them at /anaconda/pkgs/. As for the module not found error. I would need more information about it, but you can check out this video. I learnt how to install TensorFlow here and would highly recommend it.
after following the instruction in http://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html#install-in-python, I was able to install h2o v 3.16.0.2. I was also able to use command line instructions mentioned in the above website and test that it is working.
python
import h2o
h2o.init()
h2o.demo("glm")
However, when I launch anaconda spyder, I am not able to import h2o. How do I link the h2o I have installed and bring it into Spyder python?
Update:
I have already tried {conda install -c anaconda h2o } which is mentioned on Anaconda.org, but that installs older ver 3.10 of h2o and that did not work either.
thanks for your help.
I believe the problem is due to your python environment. When you install Anaconda, you need to use anaconda pip, to ensure that the installed packages are available in conda.
The short answer is you can install the lastest stable version of H2O (3.16.0.2 as of today) using conda via h2oai channel instead of anaconda channel (h2o maintains it's own channel):
conda install -c h2oai h2o
this should solve your issue.
But more generally, the packages will appear in conda if you use anaconda pip. You can check which pip is being used by doing
which pip
and making sure that the path to the pip is within your anaconda distribution; something like /home/<userdir>/anaconda/bin/pip instead of /usr/bin/pip
Same is true also for Python. Try checking if starting Python in terminal points to anaconda Python by doing which python. If that's not the case, than you would need to add the conda installation of Python to your PATH variable. Please refer to conda docs for instructions https://conda.io/docs/user-guide/install/index.html
It would have been helpful if you had included information regarding your operating system in the question.
Forgive me in case this too easy a question.
Background:
I installed Python 3 and Anaconda as I want to start programming Python and want to dive into machine learning.
Unfortunately all this shell based installation thing is absolutely new to me.
I managed to install python 3.6. and Ananconda 3.
Problem(s):
Unfortunately now I have several Python instances installed. One with Anaconda under user/anaconda and some under library/Python/
Now I need for a course to install PyML and PyBrain. I tried to it the "normal way". i.e. what is written on the webpage and as so often I get multiple errors during the installation.
Goal:
I'd like to have it under the Anaconda packages. Is there a way to do that?
If no: how can I get my other Python 3.6. installation to know the location of the Anaconda packages?
edit 12.08.17
The content of $PATH:
/Users/ak/anaconda/bin:/Users/ak/miniconda2/bin:/Users/ak/miniconda3/bin:/opt/local/bin:/opt/local/sbin:/Library/Frameworks/Python.framework/Versions/2.7/bin:/Library/Frameworks/Python.framework/Versions/3.6/bin:/Library/Frameworks/Python.framework/Versions/3.5/bin:/Users/ak/.rbenv/shims:/Library/Frameworks/EPD64.framework/Versions/Current/bin:/Library/Frameworks/Python.framework/Versions/Current/bin:/Library/Frameworks/Python.framework/Versions/2.7/bin:/Users/ak/Library/Application Support/GoodSync:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/usr/local/MacGPG2/bin:/Library/TeX/texbin:/Users/ak/.rvm/bin
edit 12.08.17 - 2:
When I try to "conda" this libraries this happens though I started it from the unzipped, downloaded PyML:
AKs-MacBook-Pro:PyML-0.7.14 ak$ conda install -c manmadescience pyml
Fetching package metadata ...........
PackageNotFoundError: Packages missing in current channels:
pyml
And when I do this: conda install -c manmadescience pyml (found here https://anaconda.org/manmadescience/pyml)
I get the same result.
I am interested in getting TensorFlow to run on Windows, however at present I realize that this is not possible due to some of the dependencies not being usable with Windows, e.g. Bazel.
The need arises because as I currently understand it the only way to access the GPU from TensorFlow is via a non-virtual install of Linux. I do realize I can dual boot into a Linux install, but would prefer to avoid that route.
To resolve the problem I am in need of the entire dependency chain to build TensorFlow as was wondering if this already existed.
I also realize that I can capture the build output when building from source as a solid start, but would like to avoid that work if it is already known.
There is a beta of Bazel that runs on Windows - https://github.com/dslomov/bazel-windows
See related GitHub Issue to run TensorFlow on Windows. - https://github.com/tensorflow/tensorflow/issues/17
Another reason to run on Windows is the possibility to port to Xbox One.
I found a possible answer, still need to check it. This will generate a dependency graph as a dot file.
$ bazel query 'deps(//tensorflow/tools/pip_package:build_pip_package)' --output graph > tensorflow.dependency.dot
There are now three main options for building and/or running TensorFlow on Windows:
You can install a GPU-enabled PIP package of TensorFlow 0.12rc0 from PyPI: pip install tensorflow-gpu
You can build the GPU-enabled PIP package yourself using the experimental CMake build. This also gives you the ability to work with TensorFlow in Visual Studio. The documentation for this build can be found here.
There is preliminary support for building TensorFlow using Bazel for Windows. However, we are still ironing out some bugs with this build.
This may not be exactly what you want one way to run TensorFlow under Windows is to install a virtual machine (VMWare player v12 is free to use for non-commercial) and then install Ubuntu in that and finally TensorFlow in Ubuntu. Works well for me.
Since the begin of 2017, Tensorflow is now officially supported on Windows and can be installed via pip:
pip install --upgrade tensorflow
pip install --upgrade tensorflow-gpu
or by fetching packages directly (pick the one that matches your needs, e.g. x64/gpu)
# x86 / CPU
pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_x86_64.whl
# x64 / CPU
pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_amd64.whl
# x64 / GPU
pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.0.0-cp35-cp35m-win_amd64.whl
I already have Python 2.7 installed but I wanted to try IPython so I installed IPython via Anaconda as recommended on the ipython website (although not sure what the pros/cons of doing this are). Now I would like to use ipdb debugger. I guess I need to make sure it installs underneath the Anaconda version of python rather than the normal python.
How do I install this? In general if I want to install some arbitrary python module under Anaconda how do I do this?
Actually I think in the case of ipdb it's already installed with Anaconda. But in general it appears you can just install stuff via either pip or easy_install as necessary. The key that I was missing is to make sure you are using the pip/easy_install that comes with Anaconda (which are .bat files in the Scripts directory) rather than the system Python's pip/easy_install. So:
Anaconda\Scripts\easy_install somepackage
This will install somepackage in Anaconda\lib\site-packages\ and not in the system python. This appears to work and I can now import somepackage from my anaconda python. This seems to work. It wasn't clear to me from reading Anaconda documentation if everything needed to be in a conda package or not.
This answer seems to support this idea: Installing Anaconda into a Virtual Environment
Generally the first thing to check is whether someone else has already built it for your version of python and uploaded it to anaconda.org:
anaconda search -t conda ipdb
then find a repository with ipdb built for your OS, and try
conda install -c <repository> ipdb
e.g. conda install -c conda-forge ipdb
You might need to try a few different ones to find one built for your version of python. There is a feature request to make this easier.
If that doesn't work, then pip install ipdb will