- #PYTHON 2.7.9 DOCUMENTATION INSTALL#
- #PYTHON 2.7.9 DOCUMENTATION UPDATE#
- #PYTHON 2.7.9 DOCUMENTATION PRO#
Which Microsoft Visual C++ compiler to use with a specific Python version ?Įach Python version uses a specific compiler version (e.g. The compiler's architecture must be the same as Python's (for example: if you use Python 64bit, you have to use an 圆4 compiler). Some alternative compilers exist like MinGW, but incompatibilities may occur with a CPython official distribution that is built with Microsoft Visual C++. Microsoft provides official C++ compilers called Visual C++, you can find them bundled with Visual Studio or, for some versions, in standalone distributions.
#PYTHON 2.7.9 DOCUMENTATION INSTALL#
Install a non-pure Python package from sources with Pip (if there is no Wheel package provided). Unlike Linux, compilers for Windows are not included by default in the OS.įor example, you will need to use them if you wish to:
Microsoft Visual C++ 9.0 standalone: Windows SDK 6.1 (x86, 圆4, ia64).Microsoft Visual C++ 9.0 standalone: Windows SDK 7.0 (x86, 圆4, ia64).Microsoft Visual C++ 9.0 standalone: Visual C++ Compiler for Python 2.7 (x86, 圆4).Microsoft Visual C++ 10.0 with Visual Studio 2010 (x86, 圆4, ia64).Microsoft Visual C++ 10.0 standalone: Windows SDK 7.1 (x86, 圆4, ia64).Microsoft Visual C++ 14.0 with Visual Studio 2015 (x86, 圆4, ARM).Microsoft Visual C++ 14.0 standalone: Visual C++ Build Tools 2015 (x86, 圆4, ARM).Microsoft Visual C++ 14.1 with Visual Studio 2017 (x86, 圆4, ARM, ARM64).Microsoft Visual C++ 14.1 standalone: Build Tools for Visual Studio 2017 (x86, 圆4, ARM, ARM64).
Microsoft Visual C++ 14.2 with Visual Studio 2019 (x86, 圆4, ARM, ARM64).Microsoft Visual C++ 14.2 standalone: Build Tools for Visual Studio 2019 (x86, 圆4, ARM, ARM64).Compilers Installation and configuration.Which Microsoft Visual C++ compiler to use with a specific Python version ?.
#PYTHON 2.7.9 DOCUMENTATION UPDATE#
# Download and install rsconnect-jupyter in the same environment # Update this to specify the desired version of the rsconnect-jupyter package, # or pass `-build-arg VERSION=.` to docker build. Install the rsconnect-jupyter package with the following command:įROM jupyterhub/jupyterhub:0.9.4 # Install Jupyter notebook into the existing base conda environment RUN conda install notebook The following commands should be run after activating the Python environment where you plan to use jupyter. Notebook server and kernel are installed: Rsconnect-jupyter package into the Python environment where the Jupyter In JupyterHub, follow these directions to install the Once you complete the installation instructions, please return to this document for additional information such as Upgrading or Usage instructions.
#PYTHON 2.7.9 DOCUMENTATION PRO#
The RStudio Server Pro documentation on Jupyter Notebooksįor instructions on installing the plugin to the right location. If you are installing rsconnect-jupyter to Jupyter running on RStudio Server Pro, see Installing to Jupyter running on RStudio Workbench ¶ To do so, you will need to activate the virtualĮnvironment in each new terminal session before you run jupyter. Be sure to run Jupyter from this virtual environment, not fromĪnother installation, or the rsconnect-jupyter extension will