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I downloaded http://pytools.codeplex.com/ (Python Tools for Visual Studio) so that I could write Python in Visual Studio.
The problem is when I try to use the most basic package 'numpy' like so:
It says 'No module named 'numpy'.'
How can I use NumPy and SciPy in Visual Studio?
Note: I am using Canopy Express on another machine which works perfectly; however, I don't want to install it on this machine since I already have Visual Studio installed.
I added the Python 3.3 environment to my Python 'solution' by right-clicking Python environments and clicking add an environment. But, after right-clicking my environment and clicking install Python package, I typed in 'numpy' and got this error when trying to install it:
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How can I install NumPy?
user1477388user14773887 Answers
Consider using a more feature-rich Windows distribution of Python, like Anaconda. It comes with a boatload of packages included into the installer. This is quite handy for those who are new to Python, especially when they are using Windows.
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Peter Mortensen
In Visual Studio 2013 Community Edition with a Python 2.7 environment, the following worked for me:
Open the Python Environments menu in Solution Explorer, and click on 'Install Python Package..'
Then write 'numpy':
Peter MortensenMicrosoft Visual Studio Community
Two solutions worked for me:
- Going directly to my Python folder and installing the packages using pip.
- Creating a virtual environment in my project and installing packages from within Visual Studio.
I actually ran into the same set of problems when trying to use Visual Studio for Python.
I managed to get things to work at the end - please see Using Visual Studio 2013 for Python (3.4) with NumPy and SciPy on Windows for details. Essentially you can either use the installer (if one is available) or use pip to do the installation.
Peter MortensenMake sure C++ Common Tools are installed in Visual Studio:
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Peter MortensenSee under Extra in the Visual Studio (Extra-Python-Interactive Window).
It has the ability to switch the interactive console through a different platform/Python version (32-bit, 64-bit, Debug, and Anaconda (which has the NumPy package)).
Peter MortensenFrom PTVS Installation:
2. Installing packages individually
Here are some recommended packages. Generally you want to install packages using pip or through the interface in Visual Studio (which uses pip), as this will ensure that you get the latest version that will work with your version of Python, as well as any dependencies.
Some packages have complex dependencies and need to be downloaded manually, either from the project's website or from Christoph Gohlke's package collection.
I installed numpy and scipy from these links, and it works perfectly with Visual Studio.
numpyhttp://sourceforge.net/projects/numpy/files/NumPy/scipyhttp://sourceforge.net/projects/scipy/files/scipy/Matplotlibhttp://matplotlib.org/downloads.htmlPandashttp://pandas.pydata.org/getpandas.html
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Update: The references in here to the '.settings' directory should be changed to '.vscode' -- in recent versions of VS Code, the editor uses a '.vscode' directory to avoid conflicts with other tools using a '.settings' directory.
Visual Studio Code (https://code.visualstudio.com) is a new cross-platform editor from Microsoft that is in the same family as Atom, Brackets, Sublime, etc. (In fact, it builds on the open source Atom components, but adds some features and removes others..)
While it has syntax coloring for Python, there is no built-in way to execute a Python program from within the editor. As it turns out, this can be solved by creating a custom build task. (https://code.visualstudio.com/Docs/tasks)
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This actually works pretty well. I modified a tasks.json file to look like this:
Then open a Python file, and press Shift-Ctrl-B (or the OSX equivalent) and the program will run in the output window. Pretty neat.
It's pretty obvious how to get other scripting tools to run. Keep in mind that you create these task.json files in the .settings directory in the directory containing your files, so you could have one in a directory containing R, and a different one in a directory containing something else.
This example is on a Windows machine, but it works on a Mac (without the windows element).
There are other options for build tasks (see the doc page), and in particular the problem matchers look interesting. I'm interested to see what others can do with this.
(For what it's worth, I was at the MS Build conference, and was told that the intention is to put something like PTVS into Visual Studio Code eventually. However, I wanted to use the editor now. This is probably sufficient for the occassional Python coding session..)
[Edit: clean up links]
[Edit: Add information on the change to .vscode instead of .settings in recent VS Code releases.]