Asynchronous Python API client for interacting with myStrom devices. This module is not official, developed, supported or endorsed by myStrom AG. For questions and other inquiries, use the issue tracker in this repo please. Dropped support for Python 3.5. V2.3.6(November 16,2020) Fixed a bug that was preventing the connector from working on Windows with Python 3.8. Improved the string formatting in exception messages. For dependency checking, increased the version condition for the cryptography package from. Larry Hastings (3.5.x source files and tags) (key id: 3A5C A953 F73C 700D) Benjamin Peterson (2.7.z source files and tags) (key id: 04C3 67C2 18AD D4FF and A4135B38) Release files for older releases which have now reached end-of-life may have been signed by one of the following.

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Release Date: Sept. 13, 2015

Python 3.5 has reached end-of-life. Python 3.5.10, the final release of the 3.5 series, is availablehere.

Python 3.5.0 was released on September 13th, 2015.

Major new features of the 3.5 series, compared to 3.4

Among the new major new features and changes in the 3.5 release series are

• PEP 441, improved Python zip application support
• PEP 448, additional unpacking generalizations
• PEP 461, '%-formatting' for bytes and bytearray objects
• PEP 465, a new operator (@) for matrix multiplication
• PEP 471, os.scandir(), a fast new directory traversal function
• PEP 475, adding support for automatic retries of interrupted system calls
• PEP 479, change StopIteration handling inside generators
• PEP 484, the typing module, a new standard for type annotations
• PEP 485, math.isclose(), a function for testing approximate equality
• PEP 486, making the Windows Python launcher aware of virtual environments
• PEP 488, eliminating .pyo files
• PEP 489, a new and improved mechanism for loading extension modules
• PEP 492, coroutines with async and await syntax

For more detailed information, please readWhat's New In Python 3.5.

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More resources

• Report bugs at http://bugs.python.org.
• Help fund Python and its community.

• The binaries for AMD64 will also work on processors that implement the Intel 64 architecture. (Also known as the 'x64' architecture, and formerly known as both 'EM64T' and 'x86-64'.) They will not work on Intel Itanium Processors (formerly 'IA-64').
• Windows users: If installing Python 3.5 as a non-privileged user, you may need to escalate to administrator privileges to install an update to your C runtime libraries.
• Windows users: There are now 'web-based' installers for Windows platforms; the installer will download the needed software components at installation time.
• Windows Users: There are redistributable zip files containing the Windows builds, making it easy to redistribute Python as part of another software package. Please see the documentation regarding Embedded Distribution for more information.
• OS X users: The OS X installers are now distributed as signed installer package files compatible with the OS X Gatekeeper security feature.
• OS X users: There is important information about IDLE, Tkinter, and Tcl/Tk on Mac OS X here.

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As a popular open source development project, Python has an activesupporting community of contributors and users that also make their softwareavailable for other Python developers to use under open source license terms.

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This allows Python users to share and collaborate effectively, benefitingfrom the solutions others have already created to common (and sometimeseven rare!) problems, as well as potentially contributing their ownsolutions to the common pool.

This guide covers the installation part of the process. For a guide tocreating and sharing your own Python projects, refer to thedistribution guide.

Note

For corporate and other institutional users, be aware that manyorganisations have their own policies around using and contributing toopen source software. Please take such policies into account when makinguse of the distribution and installation tools provided with Python.

Key terms¶

• pip is the preferred installer program. Starting with Python 3.4, itis included by default with the Python binary installers.

• A virtual environment is a semi-isolated Python environment that allowspackages to be installed for use by a particular application, rather thanbeing installed system wide.

• venv is the standard tool for creating virtual environments, and hasbeen part of Python since Python 3.3. Starting with Python 3.4, itdefaults to installing pip into all created virtual environments.

• virtualenv is a third party alternative (and predecessor) tovenv. It allows virtual environments to be used on versions ofPython prior to 3.4, which either don’t provide venv at all, oraren’t able to automatically install pip into created environments.

• The Python Packaging Index is a publicrepository of open source licensed packages made available for use byother Python users.

• the Python Packaging Authority is the group ofdevelopers and documentation authors responsible for the maintenance andevolution of the standard packaging tools and the associated metadata andfile format standards. They maintain a variety of tools, documentation,and issue trackers on both GitHub andBitbucket.

• distutils is the original build and distribution system first added tothe Python standard library in 1998. While direct use of distutils isbeing phased out, it still laid the foundation for the current packagingand distribution infrastructure, and it not only remains part of thestandard library, but its name lives on in other ways (such as the nameof the mailing list used to coordinate Python packaging standardsdevelopment).

Changed in version 3.5: The use of venv is now recommended for creating virtual environments.

See also

Basic usage¶

The standard packaging tools are all designed to be used from the commandline.

The following command will install the latest version of a module and itsdependencies from the Python Packaging Index:

Note

For POSIX users (including Mac OS X and Linux users), the examples inthis guide assume the use of a virtual environment.

For Windows users, the examples in this guide assume that the option toadjust the system PATH environment variable was selected when installingPython.

It’s also possible to specify an exact or minimum version directly on thecommand line. When using comparator operators such as >, < or some otherspecial character which get interpreted by shell, the package name and theversion should be enclosed within double quotes:

Normally, if a suitable module is already installed, attempting to installit again will have no effect. Upgrading existing modules must be requestedexplicitly:

More information and resources regarding pip and its capabilities can befound in the Python Packaging User Guide.

Creation of virtual environments is done through the venv module.Installing packages into an active virtual environment uses the commands shownabove.

See also

How do I …?¶

These are quick answers or links for some common tasks.

… install pip in versions of Python prior to Python 3.4?¶

Python only started bundling pip with Python 3.4. For earlier versions,pip needs to be “bootstrapped” as described in the Python PackagingUser Guide.

See also

… install packages just for the current user?¶

Passing the --user option to python-mpipinstall will install apackage just for the current user, rather than for all users of the system.

… install scientific Python packages?¶

A number of scientific Python packages have complex binary dependencies, andaren’t currently easy to install using pip directly. At this point intime, it will often be easier for users to install these packages byother meansrather than attempting to install them with pip.

See also

… work with multiple versions of Python installed in parallel?¶

On Linux, Mac OS X, and other POSIX systems, use the versioned Python commandsin combination with the -m switch to run the appropriate copy ofpip:

Appropriately versioned pip commands may also be available.

On Windows, use the py Python launcher in combination with the -mswitch:

Common installation issues¶

Installing into the system Python on Linux¶

On Linux systems, a Python installation will typically be included as partof the distribution. Installing into this Python installation requiresroot access to the system, and may interfere with the operation of thesystem package manager and other components of the system if a componentis unexpectedly upgraded using pip.

On such systems, it is often better to use a virtual environment or aper-user installation when installing packages with pip.

Pip not installed¶

It is possible that pip does not get installed by default. One potential fix is:

There are also additional resources for installing pip.

Installing binary extensions¶

Python has typically relied heavily on source based distribution, with endusers being expected to compile extension modules from source as part ofthe installation process.

With the introduction of support for the binary wheel format, and theability to publish wheels for at least Windows and Mac OS X through thePython Packaging Index, this problem is expected to diminish over time,as users are more regularly able to install pre-built extensions ratherthan needing to build them themselves.

Some of the solutions for installing scientific softwarethat are not yet available as pre-built wheel files may also help withobtaining other binary extensions without needing to build them locally.

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See also