What are Namespace Packages? Namespace packages are a special type of package that were introduced in Python 3.3. These allow you to split package contents across multiple directories. If you didn't include at least an empty _init_.py file in your package, then your package becomes a namespace package. Python supports three main types of namespace packages - Implicit namespace packages pkg_resources-style pkgutil-style Python Packages and Imports Python package is a directory containing a _init_.py file and one or more Python modules. When you import from a package, ... Read More

What are Namespace Packages? Namespace packages are a type of package in Python that allows you to split the sub-packages and modules within a single package across multiple, separate distribution packages. Unlike normal packages, the namespace packages don't require _init_.py file. Automatically importing all submodules within a namespace package serves several purposes, like auto-registration without manually importing, and to load all available plugins in a system. This article discusses the two methods that you can use to import all the sub-modules of a Python namespace package - Using pkgutil.iter_modules() Using ... Read More

Namespace packages is a special package introduced in Python 3.3 that allows you to split package contents across multiple directories. If you didn't include at least an empty _init_.py file in your package, then your package becomes a namespace package. In Python, a namespace package allows you to spread Python code among several projects. This is useful when you want to release related libraries as separate downloads. Currently, there are three methods for developing namespace packages. These methods are mentioned below. Native namespace packages (PEP 420) pkgutil-style Namespace packages ... Read More

Yes, a function call (any function call, not just recursive ones) creates a new namespace. BUT, when given as parameters, OBJECTS are passed by reference.So, the new namespace get its own copy of this reference but it still refers to the same object as in the calling function, and if you change the content of that object, you will notice the change in the calling function.To be more specific, Whenever the Interpreter encounters a call to a function, its creates a frame object, which is pushed to a frame stack. Each time a frame is created, that frame is given ... Read More

Namespace is a way to implement scope. In Python, each package, module, class, function and method function owns a "namespace" in which variable names are resolved. When a function,  module or package is evaluated (that is, starts execution), a namespace is created. Think of it as an "evaluation context". When a function, etc., finishes execution, the namespace is dropped. The variables are dropped. Plus there's a global namespace that's used if the name isn't in the local namespace.Each variable name is checked in the local namespace (the body of the function, the module, etc.), and then checked in the global ... Read More

This article explains what the Python code expression if __name__ == '__main__' means. A Python programme uses the condition if __name__ == '__main__' to only run the code inside the if statement when the program is run directly by the Python interpreter. The code inside the if statement is not executed when the file's code is imported as a module. What is __main__? The word "__name__" denotes a unique variable in Python. Python has a large number of special variables that begin and end with double underscores. They are referred to as dunder to keep it brief (from Double Underscores). ... Read More

In Python, a namespace package allows you to spread Python code among several projects. This is useful when you want to release related libraries as separate downloads. For example, with the directories Package-1 and Package-2 in PYTHONPATH, Package-1/namespace/__init__.py Package-1/namespace/module1/__init__.py Package-2/namespace/__init__.py Package-2/namespace/module2/__init__.py the end-user can import namespace.module1 and import namespace.module2.On Python 3.3, you don't have to do anything, just don't put any __init__.py in your namespace package directories and it will just work. This is because Python 3.3 introduces implicit namespace packages.On older versions, there's a standard module, called pkgutil, with which you can 'append' modules to a given namespace. You ... Read More

You can use pip to install packages at runtime and importlib.import_module(moduleName) to import module by using its name as a string. For example,import pip import importlib def import_with_auto_install(package):     try:         return importlib.import_module(package)     except ImportError:         pip.main(['install', package])     return importlib.import_module(package) # Example if __name__ == '__main__':     scrapy = import_with_auto_install('scrapy')     print(scrapy)The above script installs the scrapy module and imports it when installation of the module completes.

Easy Install is a python module that is bundled with setuptools (easy_install) that allows you to download, compile, install, and manage Python packages automatically. It was included in setuptools in 2004 and is now deprecated. It was remarkable at the time for automatically installing dependencies and installing packages from PyPI using requirement specifiers. Pip was released later in 2008 as a replacement for easy install, albeit it was still primarily based on setuptools components. Installing Python modules should be done with pip rather than easy install. You can use easy_install to install pip if you have it. The following line ... Read More

As of writing this, Python support for Azure Functions is experimental. So right now there is no way to directly get a module from a package manager to be installed on your instance. You'll need to bring your own modules with code. No modules are available by default on Azure Functions. You can add them by uploading it via the portal UX or kudu (which is handy for lots of files).If you don't mind using virtualenv, there is an alternative.Create your python script on Azure Functions.Open a Kudu console and cd to your script location.Create a virtualenv in this folder ... Read More