subprocess — Subprocess management
Information about how the subprocess module can be used to replace these modules and functions can be found in the following sections. Using the subprocess Module¶ The recommended approach to invoking subprocesses is to use the run() function for all use cases it can handle. For more advanced use cases, the underlying Popen interface can be used directly. subprocess.run(args, *, stdin=None, input=
What’s New in Python
What’s New in Python¶ The “What’s New in Python” series of essays takes tours through the most important changes between major Python versions. They are a “must read” for anyone wishing to stay up-to-date after a new release. The “Changelog” is an HTML version of the file built from the contents of the Misc/NEWS.d directory tree, which contains all nontrivial changes to Python for the current vers
HOWTO Fetch Internet Resources Using The urllib Package
HOWTO Fetch Internet Resources Using The urllib Package¶ Author: Michael Foord Introduction¶ urllib.request is a Python module for fetching URLs (Uniform Resource Locators). It offers a very simple interface, in the form of the urlopen function. This is capable of fetching URLs using a variety of different protocols. It also offers a slightly more complex interface for handling common situations -
urllib — URL handling modules — Python 3.7.1rc1 documentation
urllib — URL handling modules¶ Source code: Lib/urllib/ urllib is a package that collects several modules for working with URLs: urllib.request for opening and reading URLs urllib.error containing the exceptions raised by urllib.request urllib.parse for parsing URLs urllib.robotparser for parsing robots.txt files
decimal — Decimal fixed-point and floating-point arithmetic
decimal — Decimal fixed-point and floating-point arithmetic¶ Source code: Lib/decimal.py The decimal module provides support for fast correctly rounded decimal floating-point arithmetic. It offers several advantages over the float datatype: Decimal “is based on a floating-point model which was designed with people in mind, and necessarily has a paramount guiding principle – computers must provide
unittest — Unit testing framework
unittest — Unit testing framework¶ Source code: Lib/unittest/__init__.py (If you are already familiar with the basic concepts of testing, you might want to skip to the list of assert methods.) The unittest unit testing framework was originally inspired by JUnit and has a similar flavor as major unit testing frameworks in other languages. It supports test automation, sharing of setup and shutdown c
4. More Control Flow Tools
4. More Control Flow Tools¶ As well as the while statement just introduced, Python uses a few more that we will encounter in this chapter. 4.1. if Statements¶ Perhaps the most well-known statement type is the if statement. For example: >>> x = int(input("Please enter an integer: ")) Please enter an integer: 42 >>> if x < 0: ... x = 0 ... print('Negative changed to zero') ... elif x == 0: ... print
3. Data model
3. Data model¶ 3.1. Objects, values and types¶ Objects are Python’s abstraction for data. All data in a Python program is represented by objects or by relations between objects. (In a sense, and in conformance to Von Neumann’s model of a “stored program computer”, code is also represented by objects.) Every object has an identity, a type and a value. An object’s identity never changes once it has
contextlib — Utilities for with-statement contexts — Python 3.7.1rc1 documentation
contextlib — Utilities for with-statement contexts¶ Source code: Lib/contextlib.py This module provides utilities for common tasks involving the with statement. For more information see also Context Manager Types and With Statement Context Managers. Utilities¶ Functions and classes provided: class contextlib.AbstractContextManager¶ An abstract base class for classes that implement object.__enter__
zipapp — Manage executable Python zip archives
Command-Line Interface¶ When called as a program from the command line, the following form is used: If source is a directory, this will create an archive from the contents of source. If source is a file, it should be an archive, and it will be copied to the target archive (or the contents of its shebang line will be displayed if the –info option is specified). The following options are understood:
12.1. pickle — Python object serialization — Python v2.6.4 documentation
pickle — Python object serialization¶ Source code: Lib/pickle.py The pickle module implements binary protocols for serializing and de-serializing a Python object structure. “Pickling” is the process whereby a Python object hierarchy is converted into a byte stream, and “unpickling” is the inverse operation, whereby a byte stream (from a binary file or bytes-like object) is converted back into an o
argparse — Parser for command-line options, arguments and subcommands
argparse — Parser for command-line options, arguments and subcommands¶ Source code: Lib/argparse.py The argparse module makes it easy to write user-friendly command-line interfaces. The program defines what arguments it requires, and argparse will figure out how to parse those out of sys.argv. The argparse module also automatically generates help and usage messages. The module will also issue erro
11.1. pathlib — Object-oriented filesystem paths — Python 3.4.9 documentation
Source code: Lib/pathlib/ This module offers classes representing filesystem paths with semantics appropriate for different operating systems. Path classes are divided between pure paths, which provide purely computational operations without I/O, and concrete paths, which inherit from pure paths but also provide I/O operations. If you’ve never used this module before or just aren’t sure which clas
doctest — Test interactive Python examples
doctest — Test interactive Python examples¶ Source code: Lib/doctest.py The doctest module searches for pieces of text that look like interactive Python sessions, and then executes those sessions to verify that they work exactly as shown. There are several common ways to use doctest: To check that a module’s docstrings are up-to-date by verifying that all interactive examples still work as documen
8.1. datetime — 基本的な日付型および時間型 — Python 3.6.5 ドキュメント
datetime — Basic date and time types¶ Source code: Lib/datetime.py The datetime module supplies classes for manipulating dates and times. While date and time arithmetic is supported, the focus of the implementation is on efficient attribute extraction for output formatting and manipulation. See also Module calendarGeneral calendar related functions. Module timeTime access and conversions. Module z
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
fractions — Rational numbers
pkgutil — Package extension utility
array — Efficient arrays of numeric values
8.3. collections — コンテナデータ型 — Python 3.6.5 ドキュメント
test — Regression tests package for Python