anaconda continuum

4.11.4 Py35_2Pyreadline 2.1 py35_0Pytables 3.2.2 Np110py35_1Pytest 2.8.1 Py35_0Python 3.5.0 2Python-dateutil 2.4.2 Py35_0Pytz 2015.6 Py35_0PYWIN32 219 Py35_1Pyyaml 3.11 Py35_2PYZMQ 14.7.0 Py35_1QT 4.8.7 Vc14_4 [Vc14]Qtconsole 4.1.0 Py35_0Requests 2.8.1 Py35_0Rope 0.9.4 Py35_1rope-py3k-0.9.4 1 Scikit-image 0.11.3 Np110py35_0Scikit-learn 0.16.1 Np110py35_0SciPy 0.16.0 Np110py35_0Setuptools 18.4 Py35_0Simplegeneric 0.8.1 Py35_0SIP 4.16.9 Py35_1Six 1.10.0 py35_0Snowballstemmer 1.2.0 Py35_0Sockjs-to

Force installer to install resolution = MxN in text mode force graphics X server to use screen resolution m'n', where M and N are numbers, for example, 1024 '768lowres sets resolution to 640 '480 Ask how to enter the second stage of the installation program (if you do not use a CD disk for installation) Use Kickstart to perform script-based installation. We will explain in detail the installation of Kickstart in later chapters. Perform integrity check on the files in CD before installation

1. Open cmd, enter the command to find the configuration file pathJupyter Notebook--generate-config2. Open jupyter_notebook_config.py Modify configuration c.notebookapp.notebook_dir for your own working directory' e:/jupyter/projects '3. Modify Jupyter Notebook Shortcut propertiesFind Jupyter notebook shortcut, right-click property to modify target and start positionChange Anaconda Jupyter Notebook development File Save Directory

1, download Anaconda python3.5 version, because tensorflow1.3 previous version does not support python3.62. Create Environment Conda Create-n TENSORFLOW_CPU python=3.53, switch environment activate TENSORFLOW_CPU4. Installation Library Conda Install Anaconda5. Install TensorFlow Library Conda installation TensorFlow6, exit the environment deactivate TENSORFLOW_CPU7. Delete Environment Conda Remove-n tensorflow_cpu--allPackage ManagementThere are two o

Text force installer install resolution = MxN force graphics X the server uses the screen resolution m'n', where M and N are numbers, for example, 1024 '768lowres sets the resolution to 640 '480 Askmethod: Ask the method for entering the second stage of the installer (if you do not use a CD disk for installation) Ks = params use Kickstart to perform script-based installation. We will explain in detail the installation of Kickstart in later chapters. Mediacheck performs integrity check on t

IMG: The image to be detected.Threshold: Threshold value, first entry, default = 10Line_length: The shortest line length detected, default is 50Line_gap: The maximum gap between lines. Increase this value to merge broken lines. Default is 10Return:Lines: A list of lines, formatted as ((x0, y0), (x1, y0)), indicating the start and end points.Below, we use the canny operator to extract the edges and then detect which edges are straight lines?Import Skimage.transform as Stimport Matplotlib.pyplot a

Python-dev If the previous command doesn't work, you can use the following command to resolveUsing the Aptitude tool sudo apt-get install aptitudesudo aptitude install Python-dev Install the Python-dev now to install the PYTHON-PIP. sudo apt-get install Python-pip Type PIP in the terminal and, if shown, the installation succeeds4. Installation ResultsThe packages used for numeric calculations and drawings are now installed with Pip, respectively, NumPy scipy mat

"--LOCATION=MBR--boot-drive=Sdaautopart--type=lvm# Partition Clearing Informationclearpart--none--Initlabel%Packages install some packages at the time of installation @^gnome-desktop-Environment@base@core@desktop-debugging@dial-up@directory-Client@fonts@gnome-desktop@guest-agents@guest-desktop-Agents@input-methods@internet-Browser@java-platform@multimedia@network-file-system-Client@networkmanager-Submodules@print-client@x11chronykexec-Tools%End%addon com_redhat_kdump--enable--reserve-mb='Auto'%E

1. Download Anaconda Address: https://www.anaconda.com/download/#linux2. Installation Enter the directory where the installation package is located and execute the command: $ bash anaconda3-5.0.1-linux-x86_64.sh All the way to return,To the position below, reply YesThen enter the installation location, according to your own needsAnd then enter YesThen execute the command to make the path added in. BASHRC Effective: $ source ~/.BASHRC Run Python

1 Managing the Environment Create and activate an environment Use the "Conda create" command, followed by any name you wish to call it: Conda Create--name Snowflake Biopython1 1 This command will create a new environment for Biopython, where the Anaconda installation file/envs/snowflakes activates the new environment Linux,os X: SOURCE Activate Snowflakes1 1 Windows: Activate snowflake1 1 Small tips: The new development environment will be install

First, Anaconda Introduction:Anaconda is an open source version of Python, primarily for scientific computing. We can simply understand that Anaconda is a python that is preloaded with a lot of third-party libraries that we use or do not use. and the Conda Install command is added to Anaconda in comparison to the familiar pip install command. When you are familia

Anaconda package management tools /Anaconda packages Management Tools Anaconda is the world's most popular Python data science platformAnaconda's guarantee tool allows users to set up specific environments for different projects, and the switch is very convenient, greatly improving the management efficiency of various installation environments.1

Using the Conda install package name to install the required Python is very convenient, but the official server is abroad, so the download speed is very slow, the domestic Tsinghua University provides the Anaconda warehouse image, we only need to configure the Anaconda configuration file, add Tsinghua's Mirror source, Then set it as the first search channel, see the official description of

What is Anaconda Anaconda refers to an open source Python release that contains more than 180 science packages and their dependencies, including Conda, Python. With a large number of scientific packages, the Anaconda download file is larger (approximately MB), and if you need only some packages, or you need to conserve bandwidth or storage space, you can also us

Turn from: 57075388Installing AnacondaUbuntu under the library does not seem to bring Anaconda, is the self-contained pure python, and 2.x and 3.x are self-contained, but the package is more trouble, than one step installed anaconda. Anaconda's official installation site is in https://www.continuum.io/downloads/. Before you install, confirm that you want to install python2.x or python3.x, and then click Ins

First download the Anaconda installation package on Linux:$ wget https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.shThen empower and execute the Setup program:$ chmod +x anaconda3-5.1.0-linux-x86_64.sh$./anaconda3-5.1.0-linux-x86_64.shThe installation process is as follows:$./anaconda3-5.1.0-linux-x86_64.sh Welcome to Anaconda3 5.1.0 onorder to continue the installation process, pleas E Review the LicenseAgreement. Please, press ENTER to

Because just started to learn Python, in the installation process encountered a lot of pits, in order to facilitate everyone, so there is this article, this article is mainly for the Windows system download and installation.At the beginning of the study, with the Python+sublime editor, and later because the installation of various libraries too cumbersome, and anaconda just contains the data processing of various libraries, such as NumPy, Matplotlib,

　　1. Anaconda Download　　Depending on whether you downloaded 32-bit or 64-bit according to your system, there is a versionPython3.6--64bitPython3.6--32bitPython2.7--64bitPython2.7--32bit2. Anaconda InstallationAll the way Next,PS: note the installation path3. Anaconda Simple to useAnaconda mainly includes package management Tools

Python installation Graphviz Pip Install Graphviz//This should be installed first Graphviz (website download installation) Anaconda installation Graphviz Anaconda is a Python release for scientific Computing, supports Linux, MAC, Windows, and provides package management and environmental management capabilities to easily address multiple versions of Python coexistence, switching, and a variety of third-pa

Anaconda Overview Anaconda is a Python release for scientific Computing, supports Linux, MAC, Windows, and provides package management and environmental management capabilities to easily address multiple versions of Python coexistence, switching, and a variety of third-party package installation issues. Anaconda uses tools/command Conda for package and environmen