As
 a dynamic programming language, Python is being used by developers 
across the world as a scripting as well as general-purpose language. The
 open source language further enables developers to express concepts 
without writing lengthy code, while facilitating code reusability. 
Python is also used by developers as easy-to-use scripting or automation
 interfaces required by applications written in other programming 
languages. A programmer can further avail several new modules by opting 
for Python 3.
New Models Added to Python 3 to Make It More Powerful
Concurrent.futures: The
 module provides a high-level interface that can be used by programmers 
to execute the callables in an asynchronous manner. However, the 
asynchronous execution of callable can be performed in a number of ways.
 The developer can use ThreadPoolExecutor to execute the callable 
through threads. Also, he can use the ProcessPoolExecutor to make the 
execution a separate process. But each method requires the same 
interface that is defined by the abstract Executor class.
Faulthandler: As
 the name indicates, the module includes the function required to 
explicitly dump Python tracebacks. The functions are executed when the 
application faces stops performing due to a fault, user signal or 
timeout. The faulthandler.enable() function is called to install fault 
handles for SIGFPE, SIGABRT, SIGILL, SIGBUS and SIGSEGV. The functions 
can be setup during the project startup either by using the X 
faulthandler command line option or by setting the PYTHONFAULTHANDLER 
environment variable: 
Importlib: The
 importlib module can be used for two distinct purposes. Firstly, a 
programmer can implement the import statement within the Python source 
code. In addition to being portable to the Python interpreter, the 
module makes it easier for developers to comprehend the implementation. 
Secondly, the programmer can create custom objects that will participate
 in the process of importaing the components.
Ipaddress: The
 module enables developers to create, operate and manipulate on IPv4 and
 IPv6 addresses and networks. They can simply use the functions and 
classes included in this module to handle a variety of IP address 
related tasks including validating a network definition or IP address, 
and checking if multiple hosts are on a single subnet. 
Unittest.mock: The
 module makes it easier for developers to test the Python application. 
The QA professionals can replace certain parts of the application with 
mock objects while testing the application, and make assertions about 
their usage. The core Mock class provided by the module helps 
programmers in not creating additional stubs throughout the testing 
suite. Along with being easy to use, the module is also designed with 
the features required for unit testing.
Selectors: The
 selectors module is designed based on select module primitives. It can 
be used by Python developers for high-level and efficient I/O 
multiplexing. Further, the programmers can exercise tight control over 
the OS-level primitives used. In addition to the BaseSelector abstract 
base class, the module also defines a set of concrete implementation for
 I/O multiplexing. However, the types of file object supported by the 
module with vary from one operating system to another.
Statistics: The
 module provides the functions required for calculating mathematical 
statistics of numeric data. These functions further support a wide range
 of numeric data types including int, float and decimal. However, 
currently the module does not support the behavior of several data 
types. The developers have to define mixed types specifically, and 
implement them according to the requirements of the project.
Recently,
 Python 3.4 was released with a set of new features to complement the 
latest trends in software development. The most recent version of the 
open source programming language comes with a new feature called asyncio
 that provides Asynchronous IO support. Further, Python 3.4 comes with a
 set of advanced features to meet the requirements of Cloud developers. 
You can get in touch with a custom Python Development company who can help you develop web apps that are stable, scalable and secure.
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