![]() ![]() Python 3.0 is a far-ranging redesign of Python that breaksĬompatibility with the 2.x series. The development of 3.0 has influenced many Synchronized, with the alpha and beta releases for both versions being The development cycle for Python versions 2.6 and 3.0 was Whenever possible, “What’s New in Python” links to the bug/patch item Implementation, refer to the PEP for a particular new feature. You want to understand the rationale for the design and Forįull details, you should refer to the documentation for Python 2.6. The new features, but instead provides a convenient overview. This article doesn’t attempt to provide a complete specification of Patches applied and 612 bugs fixed between Python 2.5 and 2.6. A search through the change logs finds there were 259 Python 2.6 also sees a number of improvements and bugfixes throughout There aren’t many new features that aren’t related to Python 3.0 in Such as the multiprocessing and json modules, but Some significant new packages have been added to the standard library, Usages that will become unsupported in 3.0. What it can, adding compatibility functions in aįuture_builtins module and a -3 switch to warn about When it’s not possible to do that, Python 2.6 tries to do Remaining compatible with existing code by not removing older features Python 2.6 incorporates new features and syntax from 3.0 while Python 3.0, a major redesign of the language. The major theme of Python 2.6 is preparing the migration path to The release schedule is described in PEP 361. ![]() This article explains the new features in Python 2.6, released on October 1Ģ008. The plistlib module: A Property-List Parser. ![]() The json module: JavaScript Object Notation.PEP 3127: Integer Literal Support and Syntax.PEP 370: Per-user site-packages Directory.PEP 366: Explicit Relative Imports From a Main Module.New Documentation Format: reStructuredText Using Sphinx.If matplotlib is successfully installed, the version of matplotlib installed will be displayed. To verify that matplotlib is successfully installed on your system, execute the following command in the command prompt. Step 3 − Check if it is installed successfully Once done, the message of successful installation will be displayed. This command will start downloading and installing packages related to the matplotlib library. The following command is run in the command prompt to install Matplotlib. The version of pip will be displayed, if it is successfully installed on your system. If python is successfully installed, the version of python installed on your system will be displayed. Type the following commands in the command prompt to check is python and pip is installed on your system. Step 1 − Make sure Python and pip is preinstalled on your system ![]() To use matplotlib, we need to install it. It is used in data visualization and graphical plotting. Matplotlib is a Python library that helps to plot graphs. ![]()
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