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

To check if you can import something in Python 2, you can use imp module with try...except. For example, import imp try:     imp.find_module('eggs')     found = True except ImportError:     found = False print foundThis will give you the output:FalseYou can also use iter_modules from the pkgutil module to iterate over all modules to find if specified module exists. For example, from pkgutil import iter_modules def module_exists(module_name):     return module_name in (name for loader, name, ispkg in iter_modules()) print module_exists('scrapy')This will give the output:TrueThis is because this module is installed on my PC.Or if you ... Read More

The Python Standard Library is a collection of script modules that may be used by a Python program, making it unnecessary to rewrite frequently used commands and streamlining the development process. By "calling/importing" them at the start of a script, they can be used. A module is a file that contains Python code; an ‘coding.py’ file would be a module with the name ‘coding’.We utilise modules to divide complicated programmes into smaller, more manageable pieces. Modules also allow for the reuse of code. In the following example, a module called ‘coding’ contains a function called add() that we developed. The ... Read More

Python does not have a data type for dates, but we may import the datetime module to work with dates as date objects. Calculating dates that are months apart from a given date is quite challenging due to the varying length of months in our calendar system. This article tells about how to display the current date by importing the datetime module. There are two main methods to calculate a date six months from now in Python, which includes - Using relativedelta() function Using timedelta() function Using relativedelta() Function ... Read More

You can use "Sandboxed Python". A "Sandboxed Python" would let you permit or forbid modules, limit execution slices, permit or deny network traffic, constrain filesystem access to a particular directory (floated as "/"), and so on. It is also referred to as RestrictedExecution. There are many ways to implement sandboxing on Python. You could Modify the CPython Runtime, Use Another Runtime, Use Operating System Support, etc to implement such a sandbox. You can read more about sandboxing at: https://wiki.python.org/moin/SandboxedPythonPypi has a package called RestrictedPython(https://pypi.python.org/pypi/RestrictedPython) that is a defined subset of the Python language which allows to provide a program input ... Read More

There is no straightforward way to do this. But it is possible to run a Python program and parse the output. You can execute any shell command using the function system (cmd, flag). The second argument is optional. If it is present, the output of the command is returned by system as a string. If it is not supplied, any output from the command is printed, with the standard output filtered through the pager. For example,output = system ("python /path/to/your/python/script.py", 1)

If you have your own Python modules you want to copy, you can simply copy them and run on other systems with Python installed. If you want to copy installed modules, the best way is to install the same version of Python on the second system. Then run$ pip freeze > installed_modules.txton the first system to get a list of the installed modules in the installed_modules.txt file. Now copy this file over to second system. Now use pip to install these modules using:$ pip install -r installed_modules.txtThis will install all modules that were installed on the first system. It is ... Read More

In Python, there are several ways to import modules without requiring installation. This can be particularly useful when you do not have administrative privileges or need to manage different module versions. Below are some common approaches: Using 'sys.path' to Include Additional Directories Using 'virtualenv' for Isolated Environments Using 'importlib' for Dynamic Imports Using 'sys.path' to Include Additional Directories We can add directories to Python's search path at runtime using the sys.path list. This allows Python to look for modules in custom locations and include directories where ... Read More