To install nbodykit as well as all of its external dependencies on a Linux machine into the default Python installation directory: $ pip install nbodykit [ extras ] A different installation directory can be specified via the --user or --root options of the pip install command. 0, which is not supplied by Apple. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. It will be used with files that have the "C++", "C", "Objective-C" and "Objective-C++" syntax. On Mac or Linux or any other operating system. Downloading conda; Installing on Windows; Installing on macOS; Installing on Linux; Testing your installation; RPM and Debian Repositories for Miniconda; Configuration; Tasks; Cheat sheet; Troubleshooting; Conda configuration; Conda Python API. Mint users should install the dependencies needed to build Unreal Engine 4 by running the following command: version (09. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software. When I need to compile, I use the following CMake toolchain file:. If the checkbox is selected, the packages will be installed into the specified directory. Conda-based install¶. 7 and Python 3. Anaconda conveniently installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. Only the minimal base packages from the Cygwin distribution are installed by default, which takes up about 100 MB. 4 Warning: The pymeep package is built to work with OpenBLAS, which means numpy should also use OpenBLAS. Test, and Catch unit testing. maintains 1,000+ professionally built packages for data science. what is the difference between them?. In most cases the installation of a CPAN module works just as installing an app from the Apple Appstore or the Google Play. condarc): conda config --add channels inria-pro-sed in order to omit the -c option: conda. conda install-c conda-forge xlwings Note When you are using Mac Excel 2016 and are installing xlwings with conda (or use the version that comes with Anaconda), you’ll need to run $ xlwings runpython install once to enable the RunPython calls from VBA. 0 doesn't work on macOS. Then to install the CSD Python API into your own Python 2. 0-0 libclutter-1. This is how you'll probably get CMake if you are on Windows. It will install mdtraj along with all dependencies from a pre-compiled binary. Here I will install Miniconda, a mini version of Anaconda that includes only conda and its dependencies. This article describes installing latest clang (llvm) on Ubuntu 16. Search for “Debian Linux” or “Kali Linux” to find and install them. Installing GDAL on Python 3. Compared with earlier available compiler packages (gcc on both macOS and Linux), the new packages are split up into separate compilers:. A C compiler compatible with your Python installation. Simply follow the official guide. We recommend downloading Anaconda's latest. 0, which is not supplied by Apple. This package is known to build. Conda is a package management system that enables you to easily install software from the UNIX command line via the "conda" command:. I like to share my experience with installing a deep learning environment on a fresh Ubuntu 18. But sometimes there is no packages available in anaconda repository and we have to install these softwares from source. To install the TorusMapper code, before running the installation of galpy, navigate to the top-level galpy directory (which contains the setup. Instructions to install the v2 branch of the platform. When I need to compile, I use the following CMake toolchain file:. Anaconda, Inc. conda install-c conda-forge sphinx git openmpi numpy cmake After configuring, check the CMake configuration to ensure that it finds Python, NumPy, and MPI from within the conda installation. Now, you need to install seaborn, which is the plotting package that poretools uses as a replacement for R and rpy2 as of version 0. 0; linux-64 v8. 0; linux-aarch64 v8. Instead, you can use a unified special Python distribution, like Anaconda. This article shows how to install Python 3, pip, venv, virtualenv, and pipenv on Red Hat Enterprise Linux 7. CentOS 6 Installation Instructions Other Platform-specific Installations Once your setup is complete and if you installed the GPU libraries, head to Testing Theano with GPU to find how to verify everything is working properly. Clang provided by the LLVM toolset is able to compile C and C++ codes faster than GCC. Once your setup is complete and if you installed the GPU libraries, head to Testing Theano with GPU to find how to verify everything is working properly. conda install -c statiskit/label/protected clang Description The goal of the Clang project is to create a new C based language front-end: C, C++, Objective C/C++, OpenCL C and others for the LLVM compiler. This is not sufficient. Packages are available for amd64 and i386 (except for recent Ubuntu) and for both the stable, qualification and development branches (currently 8, 9 and 10). To make it easier to install ROCm, the AMD binary repos provide a number of meta-packages that will automatically install multiple other packages. 8 libglew-dev libcheese8 libcheese-gtk25 libclutter-gst-3. Install the Linux kernel. Regular installation; Installing in silent mode; Installing conda on a system that has other Python installations or packages. There is Doxygen for documenting the code, Valgrind Memcheck for memory profiling, and support for all the popular Version Control Systems, it can even provide a VIM-emulation mode via a plugin. Both tools are available for macOS, Linux, or other UNIX-like operating systems. 9 with MacPorts www. Step 1 Build the Shared Library. CircuitPython libraries and adafruit-blinka will work on any Raspberry Pi board except the compute module! That means the original 1, the Pi 2, Pi 3 or Pi Zero. Installing CNTK for Python on Linux. Installation into the system Python is easier and makes PyRosetta available at all times, though it makes upgrading PyRosetta more difficult and may require administrator access. I have created a conda environment and tried installing mpi4py with pip using the following: ```bash conda create -y --name testenv python=3. conda install mlxtend if you added conda-forge to your channels (conda config --add channels conda-forge). Alternatively, you can use your system package manager to install the module and all its dependencies automatically or use the cpan command. Compared with earlier available compiler packages (gcc on both macOS and Linux), the new packages are split up into separate compilers:. or using yum. This only works if you have run conda init first. Download and install. To install imageio, use one of the. yaml $ source activate artiq-dev. On Linux GPU version of LightGBM can be built using OpenCL, Boost, CMake and gcc or Clang. Singularity is available on Debian (and Ubuntu) systems starting with Debian stretch and the Ubuntu 16. install_keras(tensorflow = "gpu") Windows Installation. 1 that would avoid these issues. The LLVM debugger LLDB is much more memory efficient and very fast at loading symbols compared to GCC. This tutorial will go through the steps of downloading and installing Anaconda for Python 3 on CentOS 7. On Windows you will need to install the correct Visual Studio compiler for your Python version. Remember that the packages conda downloads can run arbitrary code! - asmeurer Feb 12 '18 at 21:35. Install Cygwin by running setup-x86_64. Assuming you have Debian Stretch or Ubuntu 18. Using conda is the easiest way for installation of phono3py if you are using usual 64 bit linux system. Installation of the TorusMapper interface is therefore only possible when installing from source after downloading or cloning the galpy code and using the python setup. Other tools may be required as. Cloud and Big Data are the drivers of growth of IT, which seems to grow by more than 46 percent within 2020, fueling the entire industry. How to install NCL using conda. The optional Clang and Compiler RT packages provide new C, C++, Objective C and Objective C++ front-ends and runtime libraries for the LLVM and are required by some packages which use Rust, for example firefox. This is not really part of Pymunk, but a brief description is available for your convenience. Conda is an open source package management system and environment management system that runs on Windows, macOS and Linux. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software. Check that near the top of the install that the MKL libraries are found. $ conda install scikit-learn Tensorflow for Deep Learning. Anaconda is mainly designed for Data Science and Machine Learning and used for large-scale data processing, predictive analysis, and scientific computing. You can also modify it and contribute back to the project. In order to download cuDNN, ensure you are registered for the NVIDIA Developer Program. Pre-build binary install with conda¶ On Linux platforms, the most comfortable way to install pygimli is via the conda package manager contained in the Anaconda distribution. The compilation of C++ files produced by Pythran can be long and can consume a lot of memory. conda config --add channels conda-forge conda config --add channels defaults conda config --add channels r conda config --add channels bioconda conda install r conda install rstudio Using the Anaconda Environment. How to Execute INSTALL. 6 on Windows, Linux and macOS using conda. We manage the packages within this using conda command. py with --clang_dir= switch. pdal will install the PDAL binaries and development files. For OSX and Linux, both latest Python 3. Installing Amber on Linux. A simple guide on installing the latest Qt (currently 5. To enable this you must install MKL before compiling EQcorrscan. gcc is installed. What is Anaconda Python?. 6 for Windows, Mac, and Linux. 2 headers and libraries, which is usually provided by GPU manufacture. An environment consists of an interpreter and any number of installed packages. Using these techniques it is possible to create a basic HTTP-only shared libcurl library for i386 Linux platforms that is only 113 KiB in size, and an FTP-only library that is 113 KiB in size (as of libcurl version 7. wxGTK is the GTK version of wxWidgets. The clang v4 Linux-x86_64 cross compile toolchain can be automatically set up with this Powershell script Install-LinuxToolChain. The instructions for building Numpy from source are also a good resource for setting up your environment to build Python packages. If you are using Linux: Just type Ctrl + Alt + “T” (this will work for most of Linux distributions): Open the terminal window. This will provide you with a default installation of TensorFlow suitable for use with the tensorflow R package. conda create python=3. maintains 1,000+ professionally built packages for data science. Clang provided by the LLVM toolset is able to compile C and C++ codes faster than GCC. Custom packages can be made using the conda build command, and can be shared with others by uploading them to Anaconda Cloud, PyPI or other repositories. On Raspbian versions Wheezy and later, you need the following dependencies: Git (to pull code from GitHub) libblas (for linear algebraic operations). On Ubuntu Linux for instance, installing it is as easy as running the following commands: % sudo apt-get install clang-tidy We'll be discussing installing the tool on other platforms than Linux in one of the upcoming blog posts. Compilers have always been something that you installed using your system tools—yum install gcc or install XCode. This tutorial will go through the steps of downloading and installing Anaconda for Python 3 on CentOS 7. I tried conda install opencv conda install cv2 I also tried searching conda search cv No cigar. Run the following. pyenv enables switch between multiple versions of Python on a single system (laptop). Build a wheel package. sh After accepting the license terms, you will be asked to specify the install location (which defaults to. 10 yakkety releases. 4; Installing Conda. Next step is to load the package by running the following command. 0, which is not supplied by Apple. conda install -c statiskit/label/protected clang Description The goal of the Clang project is to create a new C based language front-end: C, C++, Objective C/C++, OpenCL C and others for the LLVM compiler. Installing MXNet from source is a two-step process: Build the shared library from the MXNet C++ source code. GitHub Gist: instantly share code, notes, and snippets. Installation using conda ¶. Using Clang with Linux projects is also as simple as selecting the appropriate platform toolset. Installation. # 设置32位set CONDA_FORCE_32BIT=1 conda create -n env_name python=2. If you don’t have Python or the conda package manager, we recommend starting with the Anaconda Scientific Python distribution, which comes pre-packaged with many. There is no way to both 1) install clang into an environment, 2) activate that environment, and 3) not have clang "shadow" your system clang. Step-by-step Instructions:. On Windows, releases older than 2. Install NEST with Conda (Linux and macOS) - BETA¶. (Note: the make install step is optional, cmake will run from the build directory. This only works if you have run conda init first. With conda it's possible to install packages written in any language. 8 series of releases. Anaconda Distribution is a free, easy-to-install package manager, environment manager and Python distribution with a collection of 1,000+ open source packages with free community support. No matter your distribution of choice, you’ll need a 64-bit installation and a kernel at 3. Remember that the packages conda downloads can run arbitrary code! – asmeurer Feb 12 '18 at 21:35. The primary advantage of using Conda over pip is that conda natively understands the complex binary dependencies of packages like numpy and scipy. You can also modify it and contribute back to the project. Or System wide with: sudo pip install conda; How to Make a Separate Python Enviroment with Conda. 7 are supported. Create a virtual environment for your project. 0 stopped support for Python 2, so installing IPython on Python 2 will give you an older version (5. Although pip and conda may be used to install the Qt console, conda is simpler to use since it automatically installs PyQt. Conda is a package management system that enables you to easily install software from the UNIX command line via the "conda" command:. 1; win-64 v0. 0-r0: Description: A C language family front-end for LLVM (libraries). In Mac OS X, you have a few options to install BEDOPS via source code: Compile the code manually, or use the Bioconda or Homebrew package manager to manage installation. 0-0 libcogl20 libclutter-gtk-1. Installation. It is important to add them in this order so that the priority is set correctly (that is, conda-forge is highest priority). To build the bleeding edge code you will need to have access to a C-compiler to build a couple of Python extensions. This option is not available for Conda environments. Apparently, R 3. Also covers tips for working with software collections and permanently enabling GCC 8/Clang 6. Conda quickly installs, runs and updates packages and their dependencies. ⚡ Join us on September 5th for a live webinar on the emerging practice of developer productivity engineering. Part of the the standard distribution. All of Amber will compile and run on Linux platforms. The innovative biomedical informatics, bioinformatics, cheminformatics, computational chemistry, biophysics, computer aided drug design (cadd), molecular dynamics, modeling and simulation laboratory. 3, using gcc 5. The most reliable way to get started is using the Docker containers (Linux, macOS and Windows). The which conda says /root/yes/bin/conda. Execute the following command in a terminal: conda install -c conda-forge kwant The above command installs Kwant and all of its dependencies from the conda-forge channel. While you are getting acquainted with the shell you can use an IDE like codeblocks which will do all the not-so-elegant-typing-commands for compiling when you just press a button. Once your setup is complete and if you installed the GPU libraries, head to Testing Theano with GPU to find how to verify everything is working properly. To run conda from anywhere without having the base environment activated by default, use conda config--set auto_activate_base False. Anaconda is the opensource package manager and distribution of Python and R Programming language. This page gives you the shortest path to checking out Clang and demos a few options. Creating an environment with GDAL as a dependency $ conda create --name gdal_test_working -c conda-forge python=3. 0 was built using the '-fopenmp' flag with Clang 4. Installation of the TorusMapper interface is therefore only possible when installing from source after downloading or cloning the galpy code and using the python setup. 0, compilers were installed using system tools such as XCode or yum install gcc. Anaconda Python + Spyder on Windows Subsystem for Linux 4 August, 2019. Execute the following command in a terminal: conda install -c conda-forge kwant The above command installs Kwant and all of its dependencies from the conda-forge channel. Getting Started with Clang/LLVM in Visual Studio. Install CUDA 10 on Linux mint 19 or Ubuntu 18. 01 for MacOS. Click on the green buttons that describe your target platform. 04 or later, you will need to install the clang and llvm packages on your system, as well as a text editor such as bluefish, emacs, or vim-gnome. Use conda install gcc to set up gcc. To install the TorusMapper code, before running the installation of galpy, navigate to the top-level galpy directory (which contains the setup. This channel is included in conda's defaults channel. PySide2 easy install! 28 Aug 2017 #Python #PySide #PyQt. [CMake] Issues trying to use the Anaconda compiler tools with CMake Sebastián Mancilla smancill at jlab. Now my Termux terminal looks just like my Linux terminal on my laptops. The installation includes Nvidia software, TensorFlow that supports gpu, keras, numpy…. When available, this is the recommended way to install PostgreSQL, since it provides proper integration with the operating system, including automatic patching and other management functionality. Linux, Mac OS, UNIX. conda create--name = grid python = 3. You can get conda through the Anaconda or Miniconda Python distribution. If you’re not sure which Linux environment to install, we recommend Ubuntu. gcc is installed. Xcode (the IDE for macOS) comes with the LLVM (clang) compiler, but it does not currently support OpenMP, so you must install gcc. The local channel would include a finite set of dependencies. TextBlob depends on NLTK 3. 基本的にはconda installを使えばよいが、condaのレポジトリにないパッケージもある。 このときはpipも使える。 conda install numpy scipy. conda install --channel conda-forge my-package This procedure works fine as long as the installation script for the Python package uses distutils or setuptools, as it ensures that all files are installed in the appropriate location and that any binary extensions are compiled with the same compiler that was used to compile the Python interpreter. If you are using Linux, your distribution might have a package ready for you to install. / Installing and Upgrading MySQL / Installing MySQL on Linux / Deploying MySQL on Linux with Docker 2. x versions available in CentOS/RHEL 7 and Debian 8/9 are 3. For advanced users who want to use the API from Miniconda (say, from ArcGIS Pro's Python command prompt, which is powered by Miniconda) in disconnected environments, the recommended path is to create a local Conda channel in their premises and to install the API from that channel. (It is also simple to install on MacOS but I won't discus it here). 3 r-reshape2=1. completely on one line, but a decision needs to be made, clang-format analyzes whether there are other bin-packed cases in the input file and act. In this case, the installation requires two steps. Unfortunately this only works well for pure python code. io/miniconda/Miniconda2-latest. If you're from the pre-Anaconda era, you'll probably remember the frustration of trying to pip install numpy scipy matplotlib. Here is the step by step installation process for you to install Anaconda Python on your Ubuntu Server smoothly. Conda command is the primary interface for managing installations of various packages using Anaconda. This enables Anaconda users to get the benefits of the latest compilers— still allowing support for older operating systems—back to MacOS 10. OpenGL Installation on Linux. Big Data and Cloud Computing : Driving the Growth of IT. Many PCs and Macs will have python already installed. Use the conda install command to install 720+ additional conda packages from the Anaconda repository. The mlxtend version on PyPI may always one step. Install a package from Anaconda. It is strongly recommended that anyone developing Bokeh also use conda, and the remainder of the instructions will assume that conda is available. As a follow-up to the story from earlier this month about Intel wanting to add SYCL programming support to LLVM/Clang, the company's initial open-source compiler is now public. Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. Install LLVM 5 on Ubuntu 17. Thanks to some awesome continuous integration providers (AppVeyor, Azure Pipelines, CircleCI and TravisCI), each repository, also known as a feedstock, automatically builds its own recipe in a clean and repeatable way on Windows, Linux and OSX. 1 (MacOS) are used, and every reasonable security flag has been enabled. Warning about installing/updating packages Installing packages into existing environment may cause problems best to install all necessary packages at same time install command may ask permission to update existing packages which may result in version con icts install packages into new environments if possible to avoid con icts. conda install -c conda-forge dlib=19. How to install the latest stable versions of GCC and Clang/LLVM on Red Hat Enterprise Linux. Regular installation; Installing in silent mode; Installing conda on a system that has other Python installations or packages. Creating the conda environement with compilers and needed libraries. Installing Additional Kernels and Libraries. 0-0 xserver-xorg-input-all. I encounter segmentation faults (segfaults) randomly after installing LightGBM from PyPI using pip install lightgbm. You can also modify it and contribute back to the project. Now my Termux terminal looks just like my Linux terminal on my laptops. If the bin file is an installer/self-extracting archive, first download the thing and keep it somewhere safe just to avoid having to download it again. First, let's create a new conda environment and activate it. Compared with earlier available compiler packages (gcc on both macOS and Linux), the new packages are split up into separate compilers:. Conda is a package management system that enables you to easily install software from the UNIX command line via the "conda" command:. To create a Conda environment. By default, the bash install script will create a python environment based on the miniconda python distribution, and will install yt’s dependencies using the conda package manager. The only online part is where you fetch the thing you want to install - this could be done at an earlier stage - I do not see how you can install something you do not have - all other answers expect first line - I however have just expressed how to first get the package - you could leave it out – serup Aug 22 '16 at 6:20. This package installs nearly all of the software provided by STScI in one shot. 03/12/2018; 11 minutes to read +9; In this article CNTK Production Build and Test configuration. CUDA Support. For Windows, only latest Python 3. How to install the latest stable versions of GCC and Clang/LLVM on Red Hat Enterprise Linux. conda install-c conda-forge sphinx git openmpi numpy cmake After configuring, check the CMake configuration to ensure that it finds Python, NumPy, and MPI from within the conda installation. 9 and CentOS 6. Those builds are not always as stable as the release, but they contain numerous bugfixes and performance improvements. This page describes the current efforts on the LLVM toolchain (clang, lldb, lld, libc++, etc) in Debian. That means it's. 4 and above. It lets you remotely connect to someone’s desktop, transfer files, share screen and video conferencing. Installing with Anaconda / conda¶ To install GeoPandas and all its dependencies, we recommend to use the conda package manager. The local channel would include a finite set of dependencies. pip install jupyter_client ipykernel numpy pandas matplotlib. If you want to install Caffe on Ubuntu 16. My procedure has been to create a conda environment inside the external hdd, and then conda install -c conda-forge boost pcl. If your system does not meet these requirements, you can use GraphLab Create on the AWS Free Tier. This is not really part of Pymunk, but a brief description is available for your convenience. To install the TorusMapper code, before running the installation of galpy, navigate to the top-level galpy directory (which contains the setup. This is why a simple !pip install or !conda install does not work: the commands install packages in the site-packages of the wrong Python installation. Installing clang_packages from the conda-forge channel can be achieved by adding conda-forge to your channels with: conda config --add channels conda-forge Once the conda-forge channel has been enabled, clang, clang-tools, clangdev, clangxx, libclang, python-clang can be installed with: conda install clang clang-tools clangdev clangxx libclang python-clang It is possible to list all of the versions of clang available on your platform with: conda search clang --channel conda-forge. 0 doesn't work on macOS. First, let’s create a new conda environment and activate it. The EPEL repository provides clang RPM package. Then to Install Conda in Gentoo Linux. I like to share my experience with installing a deep learning environment on a fresh Ubuntu 18. PyCharm supports creating virtual environments for Python with Conda. 0 was built using the '-fopenmp' flag with Clang 4. If you are not an admin (or do not have write access to c:\Anaconda on Windows or /anaconda on Linux DSVM), then you will not be able to conda install or pip install new Python packages. Installation into the system Python is easier and makes PyRosetta available at all times, though it makes upgrading PyRosetta more difficult and may require administrator access. 's R conda packages. x versions available in CentOS/RHEL 7 and Debian 8/9 are 3. 04, and Mac OS X 10. Dong "Danny" Xu Research Lab at Idaho State University, College of Pharmacy. 9 with MacPorts www. If you used the Anaconda installer, numpy and cython should already be installed, so additional dependencies should not be needed. There are nightly binary builds available. Conda is an open source package management environment management system for installing multiple versions of software packages and their dependencies. Unlike the previous gcc 4. LLVM is a C/C++ compiler toolset just like GCC. Installing packages Install a package provided by the The INRIA Paris-Rocquencourt SEDConda channel, for example: conda install -c inria-pro-sed petsc Your may also want to add the inria-pro-sed Conda channel to your conﬁguration (this modify your ~/. The following example generates a new conda environment named "astroconda", however this naming convention is merely a suggestion. Depending on the Operating System and which Perl distribution you have, the specific instructions differ. 2 package will be using same installation approach as parent Anaconda packages. conda install -c https. This ensures that your Ubuntu installation will result in out of the box solution. Using system clang instead of downloaded clang binaries. When running Linux, clang-tidy is usually easy to get via your distribution's package manager. In Red Hat systems, install the packages gcc64 and gcc64-c++. Pre-build binary install with conda¶ On Linux platforms, the most comfortable way to install pygimli is via the conda package manager contained in the Anaconda distribution. (It tried to install xdress to my system python if I forgot to do that. 0, which was released on April 19th 2019. For support of other GUI frameworks, LaTeX rendering, saving animations and a larger selection of file formats, you may need to install additional dependencies. I encounter segmentation faults (segfaults) randomly after installing LightGBM from PyPI using pip install lightgbm. Our own builds of GCC 7. conda install scikit-learn We don’t recommend installing scipy or numpy using pip on linux , as this will involve a lengthy build-process with many dependencies. 5 and Linux. 4; Installing Conda. To install Conda on any platform, see the Download conda section of the conda documentation. bash Psi4conda-latest-py[27|35|36][_sse41]-[MacOSX|Linux|Windows]-x86_64. 2019-08-08: numba: public: NumPy aware dynamic Python compiler using LLVM 2019-08-08: zarr: public: An implementation of chunked, compressed, N-dimensional arrays for Python. There are multiple ways of installing IPython. This is to make sure that the kernel installation doesn't create any conflict with existing libraries like zeromq. Installing with Previous Versions of Notebook¶. Binary Downloads¶. This ensures that your Ubuntu installation will result in out of the box solution. 04 installation. Please report any bugs you encounter through the github issue tracker. This only works if you have run conda init first. Install NEST with Conda (Linux and macOS) - BETA¶. activate Now you should be able to conda or pip install packages. Harnessing the Power of. In this mechanism, we will download and install anaconda, then we can create a conda environment, using name TensorFlow with this command: $ conda -n tensorflow. Linux provides several easy ways to install new programs, such as through the Ubuntu Software Center and the Synaptic Package Manager. By default, this installation: * will not add miniconda python to path, * will register miniconda python at default python3 * will install for. 0-0 libclutter-1. Install conda compiler tools Conda is quite convenient for non-root users to install softwares in Linux system. You'll then need to set things up to build correctly. Check that near the top of the install that the MKL libraries are found. Depending on your os conda brings different compilers. In Red Hat systems, install the packages gcc64 and gcc64-c++. Also, if you are going to install from sources, and a C compiler (Clang, GCC and MSVC 2008 for Python 2, and MSVC 2010 for Python 3, have been tested).