исходный код python 3 github
Исходный код python 3 github
Шпаргалка по Python от ITDoctor
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Начало работы с языком Python. Установка и проверка версии интерпретатора. Команды для терминала, написагте первой программы Hello World в IDLE, Terminal и VS Code. Расширения для работы с Python в редаткоре VS Code.
Как устроены строки на языке Python. Разные виды кавычек и способы экранирования кавычек для их отображения. Вывод текста на экран. Создание первой переменной.
Рассматриваем арифметические операторы. Способы возведения в степень и извлечение квадратного корня. Сокращения для операторов. Побитовые операторы.
Рассмотрим операторы сравнения на Python. Логический тип данных bolean и его значения True и False. Синтаксис условных конструкций if elif else.
Блок схемы для условных конструкций
Рассмотрим синтаксис циклов на язык Python. Цикл while и цикл for могут иметь блок else. Так же рассмотрим примеры с break и continue.
Блок схемы для циклов while (слева) и for (справа)
Из последовательностей можно получать вырезку. Фрагмет строки, кортежа или списка. Для этого используется специальный синтаксис с квадратными скобками.
Работа с множествами. Функции и возможности множеств.
Работа с словарями. Удаление и добавление элементов. Обход в цикле. Проверка на вхождение элемента в словарь и многое другое.
Создание своих функций на Python. Функции с параметрами. Установка значения параметра по умолчанию. Возвращаемые значения функции и возможность возвращать несколько значений из функции. А так же функции exec и eval.
Классы на языке Python. Создание классов, объявление методов и создание конструктора класса.
13. Работа с файлами
Рассмотрим как можно открывать файл для чтения или записи. Запись в файл. Чтение из файла в цикле по строкам.
14. Квадратное уравнение
В этом примере мы решим задачу по поиску корней квадратного уравнения. Алгоритм очень прост и интересен. И вы наверняка знаете его из школы. Будем получать значения коэффициентов a, b и с от пользователя.
Алгоритм поиска корней квадратного уравнения
Создание своего модуля с функцией сортировки массива выбором.
Файл с кодом модуля: lesson15.py
Создание своего модуля с функцией быстрой сортировки массива.
Файл с кодом модуля: lesson16.py
В этом примере мы решим задачу поиска элемента в массиве. Будем использовать алгоритм бинарного поиска. Для этого алгоритма важно, чтобы входной массив был отсортирован. Для этого мы импортируем один из модулей с сортировкой массива, который мы писали ранее и решаем задачу.
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В данном репозитории вы найдете код к видео уроку по изучению языка Python на канале ITDoctor. А так же подробное описание, полезные ссылки, литературу и шпаргалку по языку Python.
Python
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Optional static typing for Python 3 and 2 (PEP 484)
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98 Updated Sep 27, 2021
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1,415 Updated Sep 26, 2021
Python Enhancement Proposals
15 Updated Sep 26, 2021
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20 Updated Sep 26, 2021
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16 Updated Sep 26, 2021
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Python
We’ve verified that the organization python controls the domain:
www.python.org
Pinned
The Python programming language
Optional static typing for Python 3 and 2 (PEP 484)
Source code for python.org
Python Enhancement Proposals
Collection of library stubs for Python, with static types
The Python developer’s guide
zh_CN translation of the Python documentation
2 Updated Sep 27, 2021
Optional static typing for Python 3 and 2 (PEP 484)
98 Updated Sep 27, 2021
The Python programming language
1,415 Updated Sep 27, 2021
Brazilian Portuguese translation of the Python Documentation
0 Updated Sep 26, 2021
Python Enhancement Proposals
15 Updated Sep 26, 2021
Collection of library stubs for Python, with static types
20 Updated Sep 26, 2021
Configuration for buildbot.python.org
0 Updated Sep 26, 2021
Spanish translation of the Python documentation.
16 Updated Sep 26, 2021
French translation of the Python documentation.
12 Updated Sep 25, 2021
17 Updated Sep 25, 2021
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Исходный код python 3 github
Mypy: Optional Static Typing for Python
Got a question? Join us on Gitter!
We don’t have a mailing list; but we are always happy to answer questions on gitter chat. If you are sure you’ve found a bug please search our issue trackers for a duplicate before filing a new issue:
Mypy is an optional static type checker for Python. You can add type hints (PEP 484) to your Python programs, and use mypy to type check them statically. Find bugs in your programs without even running them!
You can mix dynamic and static typing in your programs. You can always fall back to dynamic typing when static typing is not convenient, such as for legacy code.
Here is a small example to whet your appetite (Python 3):
See the documentation for more examples.
For Python 2.7, the standard annotations are written as comments:
Mypy is in development; some features are missing and there are bugs. See ‘Development status’ below.
You need Python 3.5 or later to run mypy. You can have multiple Python versions (2.x and 3.x) installed on the same system without problems.
In Ubuntu, Mint and Debian you can install Python 3 like this:
For other Linux flavors, macOS and Windows, packages are available at
Mypy can be installed using pip:
If you want to run the latest version of the code, you can install from git:
Now, if Python on your system is configured properly (else see «Troubleshooting» below), you can type-check the statically typed parts of a program like this:
You can always use a Python interpreter to run your statically typed programs, even if they have type errors:
You can also try mypy in an online playground (developed by Yusuke Miyazaki).
IDE, Linter Integrations, and Pre-commit
Mypy can be integrated into popular IDEs:
Mypy can also be set up as a pre-commit hook using pre-commit mirrors-mypy.
Web site and documentation
Documentation and additional information is available at the web site:
Or you can jump straight to the documentation:
Depending on your configuration, you may have to run pip like this:
This should automatically install the appropriate version of mypy’s parser, typed-ast. If for some reason it does not, you can install it manually:
Working with virtualenv
Quick start for contributing to mypy
If you want to contribute, first clone the mypy git repository:
From the mypy directory, use pip to install mypy:
Replace python3 with your Python 3 interpreter. You may have to do the above as root. For example, in Ubuntu:
Now you can use the mypy program just as above. In case of trouble see «Troubleshooting» above.
The basic way to run tests:
For more on the tests, such as how to write tests and how to control which tests to run, see Test README.md.
Mypy is beta software, but it has already been used in production for several years at Dropbox and in many other organizations, and it has an extensive test suite.
See the roadmap if you are interested in plans for the future.
Please report any bugs and enhancement ideas using the mypy issue tracker: https://github.com/python/mypy/issues
If you have any questions about using mypy or types, please ask in the typing gitter instead: https://gitter.im/python/typing
Compiled version of mypy
We have built a compiled version of mypy using the mypyc compiler for mypy-annotated Python code. It is approximately 4 times faster than interpreted mypy and is available (and the default) for 64-bit Windows, macOS, and Linux.
To install an interpreted mypy instead, use:
If you wish to test out the compiled version of a development version of mypy, you can directly install a binary from https://github.com/mypyc/mypy_mypyc-wheels/releases/latest.
Any help in testing, development, documentation and other tasks is highly appreciated and useful to the project. There are tasks for contributors of all experience levels. If you’re just getting started, ask on the gitter chat for ideas of good beginner issues.
For more details, see the file CONTRIBUTING.md.
Mypy is licensed under the terms of the MIT License (see the file LICENSE).
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Optional static typing for Python 3 and 2 (PEP 484)
Исходный код python 3 github
Gitoxide: A peek into the future…
I started working on GitPython in 2009, back in the days when Python was ‘my thing’ and I had great plans with it. Of course, back in the days, I didn’t really know what I was doing and this shows in many places. Somewhat similar to Python this happens to be ‘good enough’, but at the same time is deeply flawed and broken beyond repair.
By now, GitPython is widely used and I am sure there is a good reason for that, it’s something to be proud of and happy about. The community is maintaining the software and is keeping it relevant for which I am absolutely grateful. For the time to come I am happy to continue maintaining GitPython, remaining hopeful that one day it won’t be needed anymore.
More than 15 years after my first meeting with ‘git’ I am still in excited about it, and am happy to finally have the tools and probably the skills to scratch that itch of mine: implement git in a way that makes tool creation a piece of cake for most.
If you like the idea and want to learn more, please head over to gitoxide, an implementation of ‘git’ in Rust.
GitPython is a python library used to interact with git repositories, high-level like git-porcelain, or low-level like git-plumbing.
It provides abstractions of git objects for easy access of repository data, and additionally allows you to access the git repository more directly using either a pure python implementation, or the faster, but more resource intensive git command implementation.
The object database implementation is optimized for handling large quantities of objects and large datasets, which is achieved by using low-level structures and data streaming.
This project is in maintenance mode, which means that
The project is open to contributions of all kinds, as well as new maintainers.
If you have downloaded the source code:
or if you want to obtain a copy from the Pypi repository:
Both commands will install the required package dependencies.
A distribution package can be obtained for manual installation at:
If you like to clone from source, you can do it like so:
Leakage of System Resources
GitPython is not suited for long-running processes (like daemons) as it tends to leak system resources. It was written in a time where destructors (as implemented in the __del__ method) still ran deterministically.
In case you still want to use it in such a context, you will want to search the codebase for __del__ implementations and call these yourself when you see fit.
Another way assure proper cleanup of resources is to factor out GitPython into a separate process which can be dropped periodically.
On Windows, make sure you have git-daemon in your PATH. For MINGW-git, the git-daemon.exe exists in Git\mingw64\libexec\git-core\ ; CYGWIN has no daemon, but should get along fine with MINGW’s.
To lint, run: flake8
To test, run: pytest
The same linting and testing will also be performed against different supported python versions upon submitting a pull request (or on each push if you have a fork with a «main» branch and actions enabled).
Please have a look at the contributions file.
How to make a new release
How to verify a release
Please only use releases from pypi as you can verify the respective source tarballs.
This script shows how to verify the tarball was indeed created by the authors of this project:
You can verify that the keyid indeed matches the release-signature key provided in this repository by looking at the keys details:
You can verify that the commit adding it was also signed by it using:
If you would like to trust it permanently, you can import and sign it:
Projects using GitPython
New BSD License. See the LICENSE file.
About
GitPython is a python library used to interact with Git repositories.