19-04-2021



Docker run -it-p 8080:8888 -name testcontainer -mount type = bind,src = ` pwd `,dst = /workdir anacondatestimage コンテナに接続 左下のボタンを押して、. Install Anaconda (Python) on your operating system. Setup and Run CWL-Airflow Workflows With Docker Compose. Tony Tannous in The Startup. The easiest way to implement Auto-scaling per HTTP.

Anaconda makes it easy to install TensorFlow, enabling yourdata science, machine learning, and artificial intelligence workflows.

This page shows how to install TensorFlowwith the conda package manager included in Anaconda and Miniconda.

TensorFlow with conda is supported on 64-bit Windows 7 or later, 64-bit UbuntuLinux 14.04 or later, 64-bit CentOS Linux 6 or later, and macOS 10.10 or later.

The instructions are the same for all operating systems. No aptinstall or yuminstall commands are required.

Install TensorFlow¶

  1. Download and install Anaconda or thesmaller Miniconda.

  2. On Windows open the Start menu and open an Anaconda Command Prompt. On macOSor Linux open a terminal window. Use the default bashshell on macOS or Linux.

  3. Choose a name for your TensorFlow environment, such as “tf”.

  4. To install the current release of CPU-only TensorFlow, recommended forbeginners:

    Or, to install the current release of GPU TensorFlow on Linux or Windows:

TensorFlow is now installed and ready to use.

For using TensorFlow with a GPU, refer to theTensorFlow documentationon the topic, specifically the section ondevice placement.

CUDA versions¶

GPU TensorFlow uses CUDA. On Windows and Linux only CUDA 10.0 is supported for theTensorFlow 2.0 release. Previous versions of TensorFlow support other versionof CUDA.

To install GPU TensorFlow with a non-default CUDA version such as 9.0 run:

Python 2¶

We recommend Python 3, but it is possible to use TensorFlow with Python 2 onLinux and macOS.

CPU-only TensorFlow on Python 2 on Linux or macOS:

GPU TensorFlow on Python 2 on Linux:

Nightly builds¶

Advanced users may wish to install the latest nightly build of TensorFlow. Thesenightly builds are unstable and are only available as pip packages on PyPI.

To install the nightly build of CPU-only TensorFlow:

Or, to install the nightly build of GPU TensorFlow on Linux or Windows:

Nightly build of CPU-only TensorFlow on Python 2 on Linux or macOS:

Nightly build of GPU TensorFlow on Python 2 on Linux:

Anaconda re-implement some Sublime Text 3 features and implements another oneson it’s own.

Anaconda uses the powerful jedi libraryto offer advanced auto-completion capabilities to the end user.

How it works?

When the user is writing, eventually, Sublime Text 3 shows a popup with possiblecode completions based on the open files buffers, if tab (if auto completionon tab is enabled in Sublime Text 3) or ctrl+space is pressed, the user canforce the shown of this popup.

Anaconda hooks the regular Sublime Text 3 call and add it’s own completionresults asking about available completions to the (included in the plugin) jedilibrary that return a list of the possible words to complete and which typeof object is (class, function, parameter, import etc).

This process is totally transparent for the user as it happens in totallyasynchronous way so the user is never aware that the auto-completion engineis running under the hood.

When anaconda has a result, it sends it back to the Sublime Text 3 that willshown the popup that we already spoke to the user that can then select whateverword she want to use.

AutoCompletion configuration

The auto-completion will work out of the box (if your configured Pythoninterpeter is valid and is in the PATH) but it can be tunned with severaloptions.

Autocompletion on dot [.]

If the user want to trigger the autocompletion when she write down the dotcharacter it can be configured easily editing the Python.sublime-settingsconfiguration file in the Packages/User directory (Preferences -> BrowsePackages) and add the following:

note: it’s possible that the user have to create this file if it doesn’texists yet

Remove Python snippets from completions

Anaconda docker jupyter

The user can also choose to don’t show Python snippets in their autocompletionresults setting the option hide_snippets_on_completion as true in theplugin or project configuration.

Complete function and class parameters

If the option complete_parameters is set as true, anaconda will add classand method/function parameters to its completions when you type ( after acompletion has been done.

If complete_all_parameters is set as true, it will add all the possibleparameters, is it’s set as false, only mandatory parameters will be placed.

No key binding is needed to use this feature so it doesn’t interfere in anyway with your Sublime Text 3 normal operations.

Sublime Text 3 already implement goto functions but it requires that youhave the file opened in one of your active buffers. Anaconda is able to go toa file where a variable, function, method, class or module is defined whateveris located on (always that is not a built-in symbol).

How it works?

Anaconda just asks the underlying jedi engine where the symbol under thecursor is defined and jumps there.

How to use it?

This feature can be triggered in several ways:

  • Keyboard: ctrl+alt+g
  • Vintage Mode (Command Mode): gd
  • Context Menu: Anaconda > Goto Definition
  • Command Palette: Command Palette > Anaconda: Goto

With this command, the user can find all the locations where a symbol (variable, function, method, class or module) is being used.

How it works?

Again, anaconda asks the underlying jedi engine where the symbol under thecursor is being used and present a list of possible locations, if the userselect one, the file listed is opened (if it wasn’t already, and the cursoris located on it’s line). An white blinking gutter arrow appears for someseconds to indicate the user where the cursor is located at.

How to use it?

The find usages command can be triggered in the following ways:

  • Keyboard: ctrl+alt+f
  • Context Menu: Anaconda > Find Usages
  • Command Palette : Command Palette > Anaconda: Find

How it works?

When enabled, anaconda will show information about the methods that theprogrammer are typing into their Sublime Text 3 in the status bar. Ifthe version of Sublime Text 3 in use is build 3070 or superior and theanaconda’s settings enable_signatures_tooltip and merge_signatures_and_docare set as true, anaconda will display a tooltip with useful informationabout the method or class being used.

How it works?

Sublime Text 3 build 3124 introduced the Phantoms API that allows HTMLannotations to be added to the view buffer by plugins. When enabled, Anacondawill show an HTML box in the line below the error containing information aboutit so the user does not need to hover the error or look at the message bar orshow up the errors list.

This feature is disabled by default, to enable it set theanaconda_linter_phantoms configuration option as true in the settings file.

Anaconda can look for and show the user the docstring of whatever function,method, class, module or package. The user just have to put the cursor over thesymbol that want to get the docstring from (or after a parenthesis, for exampleafter write sys.exit() and then trigger the command to get the functionsignature and docstring in a bottom panel without lose focus form the buffer.

How it works?

As usual, anaconda asks the underlying jedi engine about the symbol under thecursor signature and docstring (if any) and then show it to the user usingan additional panel or a tooltip.

How to use it?

The command can be triggered with:

  • Keyboard: ctrl+alt+d
  • Context Menu: Anaconda > Show Documentation
  • Command Palette: Command Palatte > Anaconda: Show

With this command, the user can (try to) rename the object under the cursorin a project basis scope in a safe way.

How to use it?

The command can be trigger using the context menu Anaconda > Rename objectunder the cursor

The users can run theMcCabe complexity checkertool in whatever python file that they want. It’s threshold can be adjustedconfiguring the option mccabe_threshold in the configuration file on inthe project configuration file.

How it works?

Anaconda includes part of the McCabePython tool and can execute it in any open buffer, get the results and presenta list of functions (and lines) that presents a complexity higher than theconfigured threshold. If no complexity is found, a descriptive messageappears in the status bar.

How to use it?

The McCabe complexity checker can be fired:

  • Using the Context Menu: Anaconda > McCabe complexity check
  • Using the Command Palette: Command Palette > Anaconda: McCabe

Anaconda can add an import <undefined_name> literal at the end of the importsblock if the anaconda auto importer is used in an undefined name in the buffer.

note: Anaconda will NOT check if that import is valid or not beforeplace it in the buffer.

How it works?

Anaconda auto-import feature is really a dummy or toy feature and is underredesign to offer a better experience to the user.

How to use it?

Just place the cursor over the undefined name in the buffer and use thecontext menu Anaconda > Autoimport undefined word under the cursor

One of the latest additions to anaconda is the ability to validate the importsin the project files if the validate_imports option is set as true. Notethat this option is set as false by default.

Anaconda

How it works?

Anaconda asks the underlying jedi engine about the buffer/file/project importsto detect if the symbols are valid and the configured python interpreter isable to see them.

Note: Anaconda does not execute the imports or any other code related withthem

Note 2: Anaconda is not able to detect as valid imports that depends ondynamic stuff like addition of specific paths to the sys.paths list, ifthe users project uses them, they have to take into account that anacondais going to mark those imports as non valid even if they are valid in runtime.For this reason, the users can add the # noqa magic comment on those onesto tell anaconda to don’t mark them as invalid.

(Yes, it will validate imports made with the auto import feature describedabove)

As you already know, one of the weakness of Sublime Text 3 is that it usesit’s embedded Python interpreter when you try to build the files that youare working on.

Anaconda adds it’s own build system that is based in your system Pythoninterpreter instead (or in any python interpreter that you configure inyour python_interpreter option).

The name of the anaconda’s python builder is Anaconda Python Builder andyou should be able to find it under your Sublime Text’s Tools menu as soonas you install anaconda in your Sublime Text if you are using projects.

note: if you change your python_interpreter in your configuration,anaconda will rewrite your project file to update the python interpreterused by the build system automatically.

note: If you want to know more about python_interpreter in anaconda,take a look at Configure Anaconda the Right Way

Anaconda was based/inspired/ported from the old Sublime Text 2 SublimeLinterplugin. Although anaconda linter was inspired by SublimeLinter, anacondalinting is much faster than SublimeLinter (for ST3) and SublimeLinter3 forseveral reasons:

1.- Anaconda does not use delayed queues to perform the linting work, insteadof that, anaconda fire a single call to the linter methods n seconds afterthe last key was pressed by the user while typing. Those n seconds can beconfigured by the user (by default is 0.5s)2 .- Anaconda is totally asynchronous so it never blocks the Sublime Text GUI,because that, anaconda’s linting is smooth and flawless.

note: SublimeLinter 3 improved considerably their linting triggermechanisms, they can still block the ST3 GUI but seems to be smoother thanold Sublime Linter for Sublime Text 2

How it works?

Anaconda listen for events that come from the Sublime Text GUI itself, incertain events, the linter can be fired, for example, after save or open abuffer. When the linting process is fired, anaconda send a request to theAnaconda’s JsonServer (a standalone and isolated server where all the heavyprocessment takes place) to lint the related buffer and return back thecontrol to Sublime Text 3 immediately, when the Anaconda’s JsonServer haslinted the buffer, it return it back to anaconda that proceed to lint thebuffer. Anaconda linting is really smooth and fast.

As anaconda can use whatever python interpeter that the user want to use (including virtual environments and remote interpreters), anaconda can lintthe code for a Python version different than the version included withSublime Text 3 (Python 3.3.3).

Linting behaviour

  • Always mode (defaut): When anaconda_linting_behaviour is set asalways, the linters are fired in the background as the user edit thefile that is working on and in load/save events. The linting process is firedalso when a buffer gains the application focus. It is performed in thebackground in an external application and is handled in another executionthread so it doesn’t block the Sublime Text GUI ever. The process is firedwhen the plugin detects that the user stopped typing for a determined andconfigurable period of time that can be defined setting the value of theconfiguration variable anaconda_linter_delay, that is 0.5s default.
  • Load and Save mode: When anaconda_linting_behaviour is set asload-save, the linters are fired on load/save and focus gain only.
  • Save only mode: When anaconda_linting_behaviour is set as save-onlythe linters are fired on file saving only.

What can anaconda lint?

Anaconda can lint:

  • Syntax errors and inconsistencies (using PyFlakes or PyLint)
  • PEP8 Violations
  • PEP257 Violations

PyFlakes, pep8 and pep257 libraries are included in the plugin, to use PyLintinstead of PyFlakes, the PyLint utility has to be installed and be visibleby the user’s configured python interpreter.

note: PEP257 linter is disabled by defaultnote: PyLint can’t lint unsaved buffers

Anaconda docker windows

Disabling the linter

There is people that doesn’t care about linting or they just use anotherplugin to do it, they can completely deactivate this feature setting theanaconda_linting as false in the anaconda or project configuration.

note: imports validation depends of anaconda linting handler so it willnot work if anaconda linting is disabled

Disabling the linter in certain files

Sometimes, the users need to open or work on files that they don’t maintainat all because they are part of a third party software, deprecated code orthey have been written by developers that doesn’t care about the PEP8. Inthose situations the users can completely disable the linting in just thosefiles using the Command Palette Anaconda: Disable lintingon this file.

Disabled files will persist between Sublime Text 3 sessions, and they canbe linted again using the Command Palette Anaconda: Enable linting on thisfile.

Enabling pep257

Anaconda supports docstrings linting using pep257specification. This feature is disabled by default but can be enabled settingthe pep257 as true in the configuration file or the project file.

Disabling certain errors for pep257

Specific errors can be disabled adding them (as string elements into a list) onthe pep257_ignore user settings in the config file. The D209 is disabledby default as it has been deprecated.

Disabling pep8

Pep8 violations can be disabled setting the value of the pep8 configurationvariable as false.

Disabling certain pep8 errors

Is also possible to disable just some errors like the infamous line too longE501 error in pep8. It can be done adding them to the pep8_ignore list usingthe error code like:

There is an equivalent for PyFlakes errors called pyflakes_ignore, look atthe section below for details.

Disabling specific PyFlakes errors

The user can also disable specific PyFlakes errors (unused import module forexample) uncommenting them in the pyflakes_explicit_ignore list in theglobal anaconda configuration file or adding this list to any projectconfiguration with the warning/errors that they wish to disable. For example,to disable the unused import warning:

note: for specific information about the different mechanisms that canbe used to configure anaconda, refer to the Configuring Anaconda section.

Using PyLint as PyFlakes alternative

Anaconda has full support for PyLint as linter application but someconsiderations has to be taken before do it.

Due 3rd party dependencies required for PyLint, Anaconda doesn’t add it like dowith pep8 and PyFlakes libraries, if users want to use PyLint as their linterthey need to download and install it by themselves.

Anaconda does not use a subprocess to call the PyLint linter like Pylinterplugin does. We just import some files from pylint and run the inter from theJsonServer process capturing the system stdout file descriptor. That meansthat anaconda will use your configured python interpreter (and environment)in order to lint your files with PyLint so it should be installed in yourvirtual environment if you are using virtualenv.

PyLint doesn’t support lint buffers that are not saved yet in the filesystem so it can’t lint files until you save them.

Anaconda uses E, W and V codes to maintain compability with PyFlakes and PEP8linters so the PyLint mapping is as follows:

PyLint errors can be ignored using the configuration option pyling_ignore.When PyLint is used, PyFlakes is totally turned off.

note: PyLint can be really annoying use it at your own risk

Showing linting error list

Users can show a quick panel with all the errors in the file that they areworking on using the command palette Anaconda: Show error list or in thecontextual menu Anaconda > Show error list

Jump to the next error

Users can use the Anaconda: Next lint error command from the Command Paletteor from the context menu to navigate trough the lint errors on the file. Thisis useful for anyone fixing PEP8 violations in a file for example.

Anaconda supports the AutoPEP8tool and its integrated and distributed as part of the plugin itself. Userscan reformat their files to follow PEP8 automatically using the CommandPalette Anaconda: Autoformat PEP8 Errors or choosing the same option in thecontextual menu.

The autoformat operation is done asynchronous but as it’s a heavy process, itcan timeout before has any effect, take a look in the next sections to knowa bit more about autoformat and it’s options.

How it works?

AutoPEP8 is not the fastest tool in the world as it perform several complexsyntactic checks and parses. When the autoformat is fired, anaconda run itinto a separate process and continue it’s normal operations but the bufferthat the user asked to autoformat is set as read-only while the autoformatoperation returns back the new modified buffer or a timeout/error occurs.

What about the timeout?

Anaconda docker container

The timeout is one second long by default and can be configured setting theconfiguration option auto_formatting_timeout in your project settings orin the global anaconda configuration settings file.

Fire PEP8 autoformating on save

The autoformating process can be fired automatically when the file is savedsetting the configuration option auto_formatting as true in the options.

Supported PEP8 Autoformat errors list?

Anaconda

Autoformat can handle the following list of errors:

E101 - indentation contains mixed spaces and tabs.
E111 - indentation is not a multiple of four.
E121 - continuation line under-indented for hanging indent.
E122 - continuation line missing indentation or outdented.
E123 - closing bracket does not match indentation of opening bracket’s line.
E124 - closing bracket does not match visual indentation.
E125 - continuation line with same indent as next logical line.
E126 - continuation line over-indented for hanging indent.
E127 - continuation line over-indented for visual indent.
E128 - continuation line under-indented for visual indent.
E129 - visually indented line with same indent as next logical line.
E201 - whitespace after ‘(‘.
E202 - whitespace before ‘)‘.
E203 - whitespace before ‘:’.
E211 - whitespace before ‘(‘.
E221 - multiple spaces before operator.
E222 - multiple spaces after operator.
E223 - tab before operator.
E224 - tab after operator.
E225 - missing whitespace around operator.
E226 - missing whitespace around arithmetic operator.
E227 - missing whitespace around bitwise or shift operator.
E228 - missing whitespace around modulo operator.
E231 - missing whitespace after ‘,’, ‘;’, or ‘:’.
E241 - multiple spaces after ‘,’.
E242 - tab after ‘,’.
E251 - unexpected spaces around keyword / parameter equals
E261 - at least two spaces before inline comment.
E262 - inline comment should start with ‘# ‘.
E271 - multiple spaces after keyword.
E272 - multiple spaces before keyword.
E273 - tab after keyword.
E274 - tab before keyword.
E301 - expected 1 blank line, found 0.
E302 - expected 2 blank lines, found 0.
E303 - too many blank lines.
E304 - blank lines found after function decorator.
E401 - multiple imports on one line.
E501 - line too long (> 79 characters).
E502 - the backslash is redundant between brackets.
E701 - multiple statements on one line (colon).
E702 - multiple statements on one line (semicolon).
E703 - statement ends with a semicolon.
E711 - comparison to None should be ‘if cond is None:’.
E712 - comparison to True should be ‘if cond is True:’ or ‘if cond:’.
W191 - indentation contains tabs.
W291 - trailing whitespace.
W293 - blank line contains whitespace.
W391 - blank line at end of file.
E26 - Format block comments.
W6 - fix various deprecated code (via lib2to3).
W602 - deprecated form of raising exception.
W603 - ‘<>’ is deprecated, use ‘!=’.
W604 - backticks are deprecated, use ‘repr()’


Anaconda look & feel can be extensively customized.

Gutter Marks

Gutter marks are enabled by default, they can be disabled setting theconfiguration option anaconda_gutter_marks as false in the plugin orproject configuration files.

By default, the basic gutter marks theme is used, this is, round marksare displayed in the left gutter bar of the Sublime Text 3 buffer. To displayfancy icons, the users can set the anaconda_gutter_theme configurationoption to any of the available themes:

Gutter ThemeErrorWarningViolation
Alpha
Bright
Dark
Simple

Error lint style

Anaconda will draw boxes around the errors, warnings, and violations in thecode that is being linted, this behaviour can be configured setting the valueof the configuration option anaconda_linter_mark_style, the possible optionsare:

  • outline (the defautlt) - it will draw a border line around the affected lines
  • fill - it will draw a border and fill it with background color around theaffected lines
  • none - it will not draw anything
OutlineFill

Error underlines

The characteristic red underline that appears under the errors on the lines,you can set the anaconda_linter_underlines as false.

note: that option takes effect only when the anaconda_linter_mark_styleis set to none.

Persist linter marks while typing

Anaconda will remove all the lint marks from the buffer while the user istyping by default, this behaviour can be also configured setting the optionanaconda_linter_persistent as true.

Linting theme customization

Users can customize anaconda linting marks as they like adding some customrules to their SublimeText theme:

Tag nameSuggested background (dark)Suggested foregorund (dark)
anaconda.outline.illegal#ff4a52#ffffff
anaconda.underline.illegal#ff0000N/A
anaconda.outline.warning#df9400#ffffff
anaconda.underline.warning#ff0000N/A
anaconda.outline.violation#ffffff33#ffffff
anaconda.underline.violation#ff0000N/A

XML File example

Anaconda Docker Tutorial

You can of course copy this piece of XML and paste into your theme