Онлайн python компиляторы для запуска кода в браузере

Terms and Conditions («Terms»)

Last updated: 06/30/2021

Please read these Terms and Conditions («Terms») carefully before using the https://repl.it website (the «Service») operated by Replit, Inc. (“Replit”, «us», «we», or «our»).

Your access to and use of the Service is conditioned upon your acceptance of and compliance with these Terms. These Terms apply to all visitors, users and others who wish to access or use the Service.

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Major new features of the 3.9 series, compared to 3.8

Some of the new major new features and changes in Python 3.9 are:

• PEP 573, Module State Access from C Extension Methods
• PEP 584, Union Operators in
• PEP 585, Type Hinting Generics In Standard Collections
• PEP 593, Flexible function and variable annotations
• PEP 602, Python adopts a stable annual release cadence
• PEP 614, Relaxing Grammar Restrictions On Decorators
• PEP 615, Support for the IANA Time Zone Database in the Standard Library
• PEP 616, String methods to remove prefixes and suffixes
• PEP 617, New PEG parser for CPython
• BPO 38379, garbage collection does not block on resurrected objects;
• BPO 38692, os.pidfd_open added that allows process management without races and signals;
• BPO 39926, Unicode support updated to version 13.0.0;
• BPO 1635741, when Python is initialized multiple times in the same process, it does not leak memory anymore;
• A number of Python builtins (range, tuple, set, frozenset, list, dict) are now sped up using PEP 590 vectorcall;
• A number of Python modules (_abc, audioop, _bz2, _codecs, _contextvars, _crypt, _functools, _json, _locale, operator, resource, time, _weakref) now use multiphase initialization as defined by PEP 489;
• A number of standard library modules (audioop, ast, grp, _hashlib, pwd, _posixsubprocess, random, select, struct, termios, zlib) are now using the stable ABI defined by PEP 384.

You can find a more comprehensive list in this release’s «What’s New» document.

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3: Токенизация

Создайте файл для сценария в текстовом редакторе (файл называется nlp.py).

Импортируйте корпус в файл. Затем создайте переменную tweets и присвойте ей список строк твитов из файла positive_tweets.json

• Использование переменных в Python 3
• Работа со списками в Python 3

При первой загрузке списка твитов каждый твит представлен в виде одной строки. Прежде чем сценарий сможет отличить прилагательные и существительные, нужно разметить твиты.

Токенизация – это процесс разбиения последовательности строк на части: на слова, ключевые слова, фразы, символы и другие элементы, которые называются токенами. Создайте новую переменную, tweets_tokens, и присвойте ей токенизированный список твитов.

Теперь переменная tweets_tokens содержит список токенов. Каждому токену можно присвоить тег.

Links To Third Party Web Sites, Advertisements and Services

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We highly advise you to read the terms and conditions and privacy policies of any third-party web sites or services that you visit.

User Content

Our Service allows you to post, link, store, share and otherwise make available certain information, text, graphics, videos, or other material («User Content»). Because part of the Service includes freeform text boxes for purposes of uploading User Content, you fully control type and nature of the User Content you upload, and as such you (and not Replit) are responsible for the User Content that you post on or through the Service, including its legality, reliability, and appropriateness.

By posting User Content on or through the Service, You represent and warrant that: (i) except as provided in the “Open Source and User Content” section below, the User Content is yours (you own it) and/or you have the right to use it and the right to grant us the rights and license as provided in these Terms, and (ii) that the posting of your User Content on or through the Service does not violate the privacy rights, publicity rights, copyrights, contract rights, intellectual property rights or any other rights of any person or entity. We reserve the right to terminate the account of anyone found to be infringing on a copyright or any other intellectual property right.

Except as provided in the “Open Source and User Content” section below, you retain any and all of your rights to any User Content you submit, post or display on or through the Service and you are responsible for protecting those rights. We take no responsibility and except where prohibited by law, assume no liability for User Content you or any third party posts on or through the Service. However, by posting User Content using the Service you grant us the non-exclusive, worldwide, royalty-free, fully paid-up, sublicensable and transferable right and license to use, modify, publicly perform, publicly display, reproduce, and distribute such User Content on and through the Service in accordance with these Terms and our Privacy Policy. You agree that this license includes the right for us to make your User Content available to other users of the Service, who may also use your User Content subject to these Terms.

Replit has the right but not the obligation to monitor, edit, remove, or share User Content provided by users where it believes in good faith that it is necessary to comply with applicable law or to ensure the consistency, security, and stability of our Service.

Except as provided in the “Open Source and User Content” section below, you may not distribute, modify, transmit, reuse, download, repost, copy, or use said User Content, whether in whole or in part, for commercial purposes or for personal gain, without express advance written permission from us.

Prohibited Content

You may not upload or transmit any of the follow types of User Content (as defined below) on or through the Service:

• User Content that infringes a third party’s rights (e.g., copyright) according to applicable law;
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• Hate-related or violent User Content;
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• Drug paraphernalia;
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• Malicious User Content;
• Other material, products or services that violate or encourage conduct that would violate any criminal laws, any other applicable laws, or any third-party rights.

OpenPGP Public Keys

Source and binary executables are signed by the release manager or binary builder using their
OpenPGP key. Release files for currently supported releases are signed by the following:

• Pablo Galindo Salgado (3.10.x and 3.11.x source files and tags) (key id: 64E628F8D684696D)
• Steve Dower (Windows binaries) (key id: FC62 4643 4870 34E5)
• Łukasz Langa (3.8.x and 3.9.x source files and tags) (key id: B269 95E3 1025 0568)
• Ned Deily (macOS binaries, 3.7.x / 3.6.x source files and tags) (key ids: 2D34 7EA6 AA65 421D, FB99 2128 6F5E 1540, and Apple Developer ID DJ3H93M7VJ)
• Larry Hastings (3.5.x source files and tags) (key id: 3A5C A953 F73C 700D)
• Benjamin Peterson (2.7.z source files and tags) (key id: 04C3 67C2 18AD D4FF and A4135B38)

Release files for older releases which have now reached end-of-life may have been signed by one of the following:

• Anthony Baxter (key id: 0EDD C5F2 6A45 C816)
• Georg Brandl (key id: 0A5B 1018 3658 0288)
• Martin v. Löwis (key id: 6AF0 53F0 7D9D C8D2)
• Ronald Oussoren (key id: C9BE 28DE E6DF 025C)
• Barry Warsaw (key ids: 126E B563 A74B 06BF, D986 6941 EA5B BD71, and ED9D77D5)

You can import a person’s public keys from a public keyserver network server
you trust by running a command like:

or, in many cases, public keys can also be found
at keybase.io.
On the version-specific download pages, you should see a link to both the
downloadable file and a detached signature file. To verify the authenticity
of the download, grab both files and then run this command:

Note that you must use the name of the signature file, and you should use the
one that’s appropriate to the download you’re verifying.

(These instructions are geared to
GnuPG and Unix command-line users.)

Other Useful Items

• Looking for 3rd party Python modules? The
  Package Index has many of them.
• You can view the standard documentation
  online, or you can download it
  in HTML, PostScript, PDF and other formats. See the main
  Documentation page.
• Information on tools for unpacking archive files
  provided on python.org is available.
• Tip: even if you download a ready-made binary for your
  platform, it makes sense to also download the source.
  This lets you browse the standard library (the subdirectory Lib)
  and the standard collections of demos (Demo) and tools
  (Tools) that come with it. There’s a lot you can learn from the
  source!
• There is also a collection of Emacs packages
  that the Emacsing Pythoneer might find useful. This includes major
  modes for editing Python, C, C++, Java, etc., Python debugger
  interfaces and more. Most packages are compatible with Emacs and
  XEmacs.

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DMCA Notice and Procedure for Copyright Infringement Claims

You may submit a notification pursuant to the Digital Millennium Copyright Act (DMCA) by providing our Copyright Agent with the following information in writing (see 17 U.S.C 512(c)(3) for further detail):

• an electronic or physical signature of the person authorized to act on behalf of the owner of the copyright’s interest;
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  You can contact our Copyright Agent via email at: , or by mail at 767 Bryant Street #210, San Francisco, CA 94107.

And Now for Something Completely Different

mall>(BBC Television News studio)
Richard Baker: We’ve just heard that an explosion in the kitchens of the House of Lords has resulted in the breakage of seventeen storage jars. Police ruled out foul play.

5: Подсчёт тегов

Теперь нужно посчитать POS-теги JJ и NN. Добавьте счётчик в конец сценария и присвойте ему значение 0:

После этого нужно создать два цикла for. Первый будет итерировать каждый твит в списке, а второй – все пары токенов и тегов в твите. При этом нужно использовать индексы кортежа.

После этого нужно проверить, соответствует ли тег строке ‘JJ’ или ‘NN’; это делается с помощью условных операторов. Если тег совпадает, в счетчик выполнит (+= 1).

Добавив оба цикла, нужно добавить счетчик для общего количества прилагательных и существительных в корпусе. Чтобы узнать, сколько прилагательных и существительных обнаружил сценарий, поместите операторы print в конце сценария.

Теперь программа может считать прилагательные и существительные.

Accounts; Account Termination Policy

Unless you are a Teams for Education student user, when you create an account with us, you represent and warrant that you are above the age of 13, and that the information you provide us is accurate, complete, and current at all times. Inaccurate, incomplete, or obsolete information may result in the immediate termination of your account on the Service.

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Replit may terminate a user’s access to the Service if the user is determined to be a repeat infringer of our Copyright Policy below or if in Replit’s sole discretion, Replit determines that a user has breached or otherwise violated these Terms. If Replit, in its sole discretion, determines that a user or User Content violates these Terms for any reason, Replit may at any time, without prior notice and in its sole discretion, remove such User Content and/or terminate a user’s account. In addition to the foregoing, we reserve the right to refuse service, terminate accounts, remove or edit content, or cancel orders in our sole discretion.

2: Загрузка данных и разметчика NLTK

В данном руководстве мы попробуем загрузить с помощью NLTK корпус данных Twitter под названием twitter_samples. Загрузите корпус:

Если команда выполнена успешно, на экране появится такой вывод:

Затем загрузите разметчик частей речи. Частеречная разметка (POS tagging) – это процесс маркировки слов в тексте при помощи POS-тегов (по сути, определение части речи того или иного слова). В руководстве будет использоваться averaged_perceptron_tagger. Этот разметчик использует алгоритм персептрона, чтобы определить, какой POS-тег присвоить тому или иному слову. Чтобы загрузить этот инструмент, введите:

python -m nltk.downloader averaged_perceptron_tagger

Команда должна вернуть:

Убедитесь в том, что корпус загружен правильно. Откройте интерактивную среду Python с помощью терминала.

Теперь импортируйте корпус twitter_samples:

Данный корпус содержит около 20 000 твитов, извлеченных из Twitter Streaming API. Твиты хранятся в виде отдельных строках в JSON.

Чтобы узнать, сколько JSON-файлов хранится в корпусе, используйте метод twitter_samples.fileids():

Чтобы запросить строку, используйте ID файлов:

Эта команда вернёт объемный вывод, вот его фрагмент:

Теперь вы знаете, что корпус загружен успешно. Закройте интерактивную среду Python (ctrl + D).

Получив доступ к корпусу twitter_samples, вы можете написать сценарий для обработки твиров.

Целью сценария будет подсчет имен прилагательных и существительных в корпусе.

В дальнейшем вы можете расширить этот сценарий и научить его подсчитывать разные типы прилагательных, что можно применить при оценке настроения твита или отзыва.

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