Python plugin for Visual Studio released

What features Python Tools for Visual Studio plugin brings for a coder? 
01 August 2017   1765
Python

Multi-paradigm programming language with easy-to-use syntax and many features including the support of the object-oriented and structured programming.

Visual Studio is one of the most popular integrated development environment, created by the Microsoft. This product allow you to develop both console applications and GUI applications, including those that support Windows Forms technology, as well as Web sites, web applications, web services in both native and managed codes for all platforms, that are supported by Windows, Windows Mobile, Windows CE,. NET Framework, Xbox, Windows Phone. NET Compact Framework and Silverlight.

Visual Studio supports these programming languages:

  • Basic
  • C#
  • C++
  • F++
  • JScript

But now, Python support also can be included by a simple plugin.

Python Tools for Visual Studio is a free, open source plugin that turns Visual Studio into a Python IDE.

Django

A high-level, free and open source Python Web framework that encourages rapid and clean development with  pragmatic design.

Features:

  • CPython,
  • IronPython,
  • editing,
  • browsing,
  • IntelliSense,
  • mixed Python/C++ debugging,
  • remote Linux/MacOS debugging,
  • profiling, IPython, 
  • web development with Django and other frameworks.

From the Visual Studio 2017 installer, select the Python or Data Science workload to add Python support to Visual Studio.

If you will face any issues, don't hesitate to contact developers via GitHub issue. Also, don't forget to check documentation

Designed, developed, and supported by Microsoft and the community.

Facebook to Release PyTorch 1.0

This release added support for large cloud platforms, a C ++ interface, a set of JIT compilers
10 December 2018   141

Facebook has released a stable version of the library for machine learning PyTorch 1.0. This iteration added support for large cloud platforms, a C ++ interface, a set of JIT compilers, and various improvements.

The stable version received a set of JIT compilers that eliminate the dependence of the code on the Python interpreter. The model code is transformed into Torch Script - a superstructure over Python. Keeping the opportunity to work with the model in the Python environment, the user can download it to other projects not related to this language. So, the PyTorch developers state that the code processed in this way can be used in the C ++ API.

The torch.distributed package and the torch.nn.parallel.DistributedDataParallel module are completely redesigned. torch.distributed now has better performance and works asynchronously with the Gloo, NCCL and MPI libraries.

The developers added a C ++ wrapper to PyTorch 1.0. It contains analogs of Python interface components, such astorch.nn,torch.optim, torch.data. According to the creators, the new interface should provide high performance for C ++ applications. True, the C ++ API is still experimental, but it can be used in projects now.

To improve the efficiency of working with PyTorch 1.0, a Torch Hub repository has been created, which stores pre-trained models of neural networks. You can publish your own development using the hubconf.py file, after which the model will be available for download by any user via the torch.hub.load API.

Support for C extensions and the module torch.utils.trainer were removed from the library.

Facebook released the preliminary version of PyTorch 1.0 at the beginning of October 2018, and in two months the developers brought the framework to a stable state.