Pexpect allows easy control of interactive console applications.
Pexpect is a pure Python module for spawning child applications; controlling them; and responding to expected patterns in their output. Pexpect works like Don Libes' Expect. Pexpect allows your script to spawn a child application and control it as if a human were typing commands. Pexpect can be used for automating interactive applications such as ssh, ftp, passwd, telnet, etc. It can be used to a automate setup scripts for duplicating software package installations on different servers. It can be used for automated software testing. Pexpect is in the spirit of Don Libes' Expect, but Pexpect is pure Python.
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Syntax highlighting engine written in Python
Pygments is a generic syntax highlighter suitable for use in code hosting, forums, wikis or other applications that need to prettify source code. Highlights are: * a wide range of over 500 languages and other text formats is supported * special attention is paid to details that increase highlighting quality * support for new languages and formats are added easily; most languages use a simple regex-based lexing mechanism * a number of output formats is available, among them HTML, RTF, LaTeX and ANSI sequences * it is usable as a command-line tool and as a library * … and it highlights even Perl 6!
IPython: Productive Interactive Computing
IPython provides a rich toolkit to help you make the most out of using Python interactively. Its main components are: * A powerful interactive Python shell * A `Jupyter <https://jupyter.org/>`_ kernel to work with Python code in Jupyter notebooks and other interactive frontends. The enhanced interactive Python shells have the following main features: * Comprehensive object introspection. * Input history, persistent across sessions. * Caching of output results during a session with automatically generated references. * Extensible tab completion, with support by default for completion of python variables and keywords, filenames and function keywords. * Extensible system of 'magic' commands for controlling the environment and performing many tasks related either to IPython or the operating system. * A rich configuration system with easy switching between different setups (simpler than changing $PYTHONSTARTUP environment variables every time). * Session logging and reloading. * Extensible syntax processing for special purpose situations. * Access to the system shell with user-extensible alias system. * Easily embeddable in other Python programs and GUIs. * Integrated access to the pdb debugger and the Python profiler. The latest development version is always available from IPython's `GitHub site <http://github.com/ipython>`_.
The goal of the decorator module is to make it easy to define signature-preserving function decorators and decorator factories. It also includes an implementation of multiple dispatch and other niceties (please check the docs).
Extract data from python stack frames and tracebacks for informative displays
6 | for i in range(5): 7 | row = [] 8 | result.append(row) --> 9 | print_stack() 10 | for j in range(5): ``` The code for `print_stack()` is fairly self-explanatory. If you want to learn more details about a particular class or method I suggest looking through some docstrings. `FrameInfo` is a class that accepts either a frame or a traceback object and provides a bunch of nice attributes and properties (which are cached so you don't need to worry about performance). In particular `frame_info.lines` is a list of `Line` objects. `line.render()` returns the source code of that line suitable for display. Without any arguments it simply strips any common leading indentation. Later on we'll see a more powerful use for it. You can see that `frame_info.lines` includes some lines of surrounding context. By default it includes 3 pieces of context before the main line and 1 piece after. We can configure the amount of context by passing options: ```python options = stack_data.Options(before=1, after=0) frame_info = stack_data.FrameInfo(frame, options) ``` Then the output looks like: ```
A static analysis tool for Python that is typically used in IDEs/editors plugins
Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. It has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references.
Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.
A framework that lets Python classes have attributes with type checking, dynamically calculated default values, and callbacks.
Easily build and distribute Python 3 packages
Setuptools is a collection of enhancements to the Python 3 distutils that allow you to more easily build and distribute Python 3 packages, especially ones that have dependencies on other packages. This package also contains the runtime components of setuptools, necessary to execute the software that requires pkg_resources.py.
Library for building powerful interactive command lines in Python
prompt_toolkit is a library for building powerful interactive command lines and terminal applications in Python.