Pip install version list
[PDF File] TesseRACt Documentation
http://5y1.org/file/11513/tesseract-documentation.pdf
The easiest way to install TesseRACt is using pip. If you have administrative privleges on the target machine, this is done using: $ pip install tesseract If you do not have admin privleges, simply install it locally using: $ pip install tesseract --user The TesseRACt package can then be updated to the most recent stable release using:
[PDF File] Kivy Documentation - Read the Docs
http://5y1.org/file/11513/kivy-documentation-read-the-docs.pdf
To install a pre-compiled wheel of the last pre-release version of Kivy, instead of the current stable version, add the --preflag to pip: python-mpipinstall--pre"kivy[base]"kivy_examples This will only install a development version of Kivy if one was released toPyPi. Instead, one can also
[PDF File] CUDA Quick Start Guide
http://5y1.org/file/11513/cuda-quick-start-guide.pdf
py -m pip install nvidia-cuda-runtime-cu11 Optionally, install additional packages as listed below using the following command: py -m pip install nvidia-<library> Metapackages The following metapackages will install the latest version of the named component on Windows for the indicated CUDA version. "cu11" should be read as "cuda11".
[PDF File] pip Documentation - University of Texas at Austin
http://5y1.org/file/11513/pip-documentation-university-of-texas-at-austin.pdf
pip also performs an automatic uninstall of an old version of a package before upgrading to a newer version. For more information and examples, see the pip uninstall reference. 3.4.
[PDF File] PyVISA Documentation - Read the Docs
http://5y1.org/file/11513/pyvisa-documentation-read-the-docs.pdf
$ pip install -U pyvisa Backend In order for PyVISA to work, you need to have a suitable backend. PyVISA includes a backend that wraps the National Instruments’s VISAlibrary. However, you need to download and install the library yourself (See NI-VISA Installation). There are multiple VISA implementations from different vendors.
[PDF File] NVIDIA TensorRT - NVIDIA Documentation Hub
http://5y1.org/file/11513/nvidia-tensorrt-nvidia-documentation-hub.pdf
1. Download the TensorRT local repo file that matches the Ubuntu version and CPU architecture that you are using. 2. Install TensorRT from the Debian local repo package. Replace ubuntuxx04, cudax.x, trt8.x.x.x and yyyymmdd with your specific OS version, CUDA version, TensorRT version and package date. os="ubuntuxx04" tag="cudax.x …
[PDF File] Buildozer Documentation
http://5y1.org/file/11513/buildozer-documentation.pdf
• version.regex: Regex, Regular expression to capture the version in version.filename. The default capture method of your application version is by grepping a line like this: __version__="1.0" The 1.0 will be used as a version. • version.filename: String, defaults to the main.py. File to use for capturing the version with version.regex.
[PDF File] h5py Documentation
http://5y1.org/file/11513/h5py-documentation.pdf
environment for you, so you don’t need to deal with them manually. See Development installation for a list. The actual installation of h5py should be done via: $ pip install --no-binary=h5py h5py or, from a tarball or git checkout: $ pip install -v . 3.2. Installation 11
[PDF File] reticulate: Interface to 'Python' - The Comprehensive R Archive …
http://5y1.org/file/11513/reticulate-interface-to-python-the-comprehensive-r-archive.pdf
Version 1.36.1. Description Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
[PDF File] Flask Documentation (1.1.x)
http://5y1.org/file/11513/flask-documentation-1-1-x.pdf
$ sudo apt-get install python-virtualenv # CentOS, Fedora $ sudo yum install python-virtualenv # Arch $ sudo pacman -S python-virtualenv If you are on Mac OS X or Windows, downloadget-pip.py, then: $ sudo python2 Downloads/get-pip.py $ sudo python2 -m pip install virtualenv On Windows, as an administrator: 6 Chapter 1. User’s Guide
[PDF File] PyAutoGUI Documentation - Read the Docs
http://5y1.org/file/11513/pyautogui-documentation-read-the-docs.pdf
PyAutoGUI lets your Python scripts control the mouse and keyboard to automate interactions with other applications. The API is designed to be simple. PyAutoGUI works on Windows, macOS, and Linux, and runs on Python 2 and 3. To install with pip, run pip install pyautogui. See the Installation page for more details.
[PDF File] Buildozer Documentation - Read the Docs
http://5y1.org/file/11513/buildozer-documentation-read-the-docs.pdf
python3 -m pip install --user --upgrade Cython==0.29.19 virtualenv # the --user ... version=1.0 • requirements: List, Python modules or extensions that your application requires. The requirements can be either a name of a recipe in the Python-for-android project, or a pure-Python package.
[PDF File] pip Documentation - Read the Docs
http://5y1.org/file/11513/pip-documentation-read-the-docs.pdf
$ pip install SomePackage==1.0.4 # specific version $ pip install 'SomePackage>=1.0.4' # minimum version For more information and examples, see the pip install reference.
[PDF File] Quick Guide to Installing and Setting Up Python 2 - Temple MIS
http://5y1.org/file/11513/quick-guide-to-installing-and-setting-up-python-2-temple-mis.pdf
To use pip to install packages, you again need to use the com command line interface (see Part 1 for how to open the command line interface. On Windows it is called “Command Prompt”, and on Mac it is called “Terminal”). The most common scenario is to install type the following in the command line interface:
[PDF File] NVIDIA TensorRT - NVIDIA Documentation Hub
http://5y1.org/file/11513/nvidia-tensorrt-nvidia-documentation-hub.pdf
1. Download the TensorRT local repo file that matches the Ubuntu version and CPU architecture that you are using. 2. Install TensorRT from the Debian local repo package. Replace ubuntuxx04, cudax.x, trt8.x.x.x and yyyymmdd with your specific OS version, CUDA version, TensorRT version and package date. os="ubuntuxx04" tag="cudax.x …
[PDF File] aubio Documentation
http://5y1.org/file/11513/aubio-documentation.pdf
pip install aubio # from source directory cd aubio pip install-v. • install python-aubio from a pre-compiled binary: # conda [osx, linux, win] conda install-c conda-forge aubio # .deb (debian, ubuntu) [linux] sudo apt-get install python3-aubio python-aubio aubio-tools # brew [osx] brew install aubio--with-python • get a pre-compiled version ...
[PDF File] AWS Command Line Interface User Guide - Amazon Web Services
http://5y1.org/file/11513/aws-command-line-interface-user-guide-amazon-web-services.pdf
Install the AWS CLI Using Pip Pip is a Python-based tool that offers convenient ways to install, upgrade, and remove Python packages and their dependencies. Pip is the recommended method of installing the CLI on Mac and Linux. Prerequisites • Windows, Linux, OS X, or Unix 5 AWS Command Line Interface User Guide Choose an Installation …
[PDF File] NVIDIA TensorRT - NVIDIA Documentation Hub
http://5y1.org/file/11513/nvidia-tensorrt-nvidia-documentation-hub.pdf
1. Install the TensorRT Python wheel. python3 -m pip install --upgrade nvidia-tensorrt. The above pip command will pull in all the required CUDA libraries and cuDNN in Python wheel format because they are dependencies of the TensorRT Python wheel.
[PDF File] pyspellchecker Documentation - GitHub Pages
http://5y1.org/file/11513/pyspellchecker-documentation-github-pages.pdf
The best experience is likely to use pip: pip install pyspellchecker If you are using virtual environments, it is recommended to use pipenvto combine pip and virtual environments: pipenv install pyspellchecker Read more aboutPipenv 5.1.2Basic Usage Setting up the spell checker requires importing and initializing the instance.
[PDF File] Pip Cheatsheet
http://5y1.org/file/11513/pip-cheatsheet.pdf
--disable-pip-version-check Do not check Pip version--cert PATH Path to secondary CA bundle--client-cert CERT Path to SSL certificate--trusted-host HOSTNAME Consider the host trusted List Description pip list List packages-o,--outdated List outdated packages-u,--uptodate List current packages-e,--editable List editable items
[PDF File] OpenDrop - Read the Docs
http://5y1.org/file/11513/opendrop-read-the-docs.pdf
pip install opencv-python (Make sure pip refers to your Python 3’s pip installation.) •Alternatively, OpenCV and its python bindings can also be installed using theopencv Homebrew formula
[PDF File] PyAutoGUI Documentation - Read the Docs
http://5y1.org/file/11513/pyautogui-documentation-read-the-docs.pdf
PyAutoGUI lets your Python scripts control the mouse and keyboard to automate interactions with other applications. The API is designed to be simple. PyAutoGUI works on Windows, macOS, and Linux, and runs on Python 2 and 3. To install with pip, run pip install pyautogui. See the Installation page for more details.
[PDF File] pip Documentation - Read the Docs
http://5y1.org/file/11513/pip-documentation-read-the-docs.pdf
First, Install pip. Install a package fromPyPI: $ pip install SomePackage [...] Successfully installed SomePackage Install a package already downloaded fromPyPIor got elsewhere. This is useful if the target machine does not have a network connection: $ pip install SomePackage-1.0-py2.py3-none-any.whl [...] Successfully installed SomePackage
[PDF File] CUDA Quick Start Guide - Nvidia
http://5y1.org/file/11513/cuda-quick-start-guide-nvidia.pdf
Install the CUDA runtime package: py -m pip install nvidia-cuda-runtime-cu11 Optionally, install additional packages as listed below using the following command: py -m pip install nvidia-<library> Metapackages The following metapackages will install the latest version of the named component on
[PDF File] NVIDIA TensorRT - NVIDIA Documentation Hub
http://5y1.org/file/11513/nvidia-tensorrt-nvidia-documentation-hub.pdf
pip installation to fetch additional Python modules from the NVIDIA NGC™ PyPI repo. If your pip and setuptools Python modules are outdated, then use the following command to upgrade these Python modules. If these Python modules are outdated then the commands which follow later in this section may fail. python3 -m pip install --upgrade ...
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