pdb — The Python Debugger
pdb — The Python Debugger¶ Source code: Lib/pdb.py The module pdb defines an interactive source code debugger for Python programs. It supports setting (conditional) breakpoints and single stepping at the source line level, inspection of stack frames, source code listing, and evaluation of arbitrary Python code in the context of any stack frame. It also supports post-mortem debugging and can be cal
6. Modules
6. Modules¶ If you quit from the Python interpreter and enter it again, the definitions you have made (functions and variables) are lost. Therefore, if you want to write a somewhat longer program, you are better off using a text editor to prepare the input for the interpreter and running it with that file as input instead. This is known as creating a script. As your program gets longer, you may wa
urllib.parse — Parse URLs into components
urllib.parse — Parse URLs into components¶ Source code: Lib/urllib/parse.py This module defines a standard interface to break Uniform Resource Locator (URL) strings up in components (addressing scheme, network location, path etc.), to combine the components back into a URL string, and to convert a “relative URL” to an absolute URL given a “base URL.” The module has been designed to match the inter
26.1. typing --- 型ヒントのサポート — Python 3.6.6 ドキュメント
Note The Python runtime does not enforce function and variable type annotations. They can be used by third party tools such as type checkers, IDEs, linters, etc. This module provides runtime support for type hints. Consider the function below: def moon_weight(earth_weight: float) -> str: return f'On the moon, you would weigh {earth_weight * 0.166} kilograms.' The function moon_weight takes an argu
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
Curses Programming with Python
Curses Programming with Python¶ Author: A.M. Kuchling, Eric S. Raymond Release: 2.04 What is curses?¶ The curses library supplies a terminal-independent screen-painting and keyboard-handling facility for text-based terminals; such terminals include VT100s, the Linux console, and the simulated terminal provided by various programs. Display terminals support various control codes to perform common o
statistics — Mathematical statistics functions
Source code: Lib/statistics.py This module provides functions for calculating mathematical statistics of numeric (Real-valued) data. The module is not intended to be a competitor to third-party libraries such as NumPy, SciPy, or proprietary full-featured statistics packages aimed at professional statisticians such as Minitab, SAS and Matlab. It is aimed at the level of graphing and scientific calc
syslog — Unix syslog library routines
syslog — Unix syslog library routines¶ This module provides an interface to the Unix syslog library routines. Refer to the Unix manual pages for a detailed description of the syslog facility. This module wraps the system syslog family of routines. A pure Python library that can speak to a syslog server is available in the logging.handlers module as SysLogHandler. The module defines the following f
Logging Cookbook
Logging Cookbook¶ Author: Vinay Sajip <vinay_sajip at red-dove dot com> This page contains a number of recipes related to logging, which have been found useful in the past. For links to tutorial and reference information, please see Other resources. Using logging in multiple modules¶ Multiple calls to logging.getLogger('someLogger') return a reference to the same logger object. This is true not on
email: Examples
email: Examples¶ Here are a few examples of how to use the email package to read, write, and send simple email messages, as well as more complex MIME messages. First, let’s see how to create and send a simple text message (both the text content and the addresses may contain unicode characters): # Import smtplib for the actual sending function import smtplib # Import the email modules we'll need fr
The Python Tutorial
The Python Tutorial¶ Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpre
1. Extending Python with C or C++
1. Extending Python with C or C++¶ It is quite easy to add new built-in modules to Python, if you know how to program in C. Such extension modules can do two things that can’t be done directly in Python: they can implement new built-in object types, and they can call C library functions and system calls. To support extensions, the Python API (Application Programmers Interface) defines a set of fun
7.8. codecs — Codec registry and base classes — Python 2.7.18 documentation
This document is for an old version of Python that is no longer supported. You should upgrade and read the Python documentation for the current stable release. 7.8. codecs — Codec registry and base classes¶ This module defines base classes for standard Python codecs (encoders and decoders) and provides access to the internal Python codec registry which manages the codec and error handling lookup p
6. Built-in Exceptions — Python 2.7.18 documentation
This document is for an old version of Python that is no longer supported. You should upgrade and read the Python documentation for the current stable release. 6. Built-in Exceptions¶ Exceptions should be class objects. The exceptions are defined in the module exceptions. This module never needs to be imported explicitly: the exceptions are provided in the built-in namespace as well as the excepti
8. Errors and Exceptions — Python 2.7.18 documentation
This document is for an old version of Python that is no longer supported. You should upgrade and read the Python documentation for the current stable release. 8. Errors and Exceptions¶ Until now error messages haven’t been more than mentioned, but if you have tried out the examples you have probably seen some. There are (at least) two distinguishable kinds of errors: syntax errors and exceptions.
13.2. ConfigParser — Configuration file parser — Python 2.7.18 documentation
See also Module shlexSupport for creating Unix shell-like mini-languages which can be used as an alternate format for application configuration files. Module jsonThe json module implements a subset of JavaScript syntax which can also be used for this purpose. The configuration file consists of sections, led by a [section] header and followed by name: value entries, with continuations in the style
25.3. unittest — Unit testing framework — Python 2.7.18 documentation
This document is for an old version of Python that is no longer supported. You should upgrade and read the Python documentation for the current stable release. (If you are already familiar with the basic concepts of testing, you might want to skip to the list of assert methods.) The Python unit testing framework, sometimes referred to as “PyUnit,” is a Python language version of JUnit, by Kent Bec
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7. Simple statements
19.1.13. email: Examples — Python 3.3.7 documentation
email — An email and MIME handling package