How to make phone calls using Python?

Learn how to make phone calls with few lines of Python code and Twilio
03 August 2017   3113

Despite the popularity of such services as messagers, skype, voip, emails, etc. good old-fashioned phone calls remain one of the best and the most popular form of communication for billions of people all over the world. Full Stack Python had prepared a tutorial for you about how to make and receive phone calls from any application with just a few lines of Python code plus a web application programming interface

In the tutorial, example calls will say a snippet of text and put all incoming callers into a recorded conference call.

Requirements:

  • Python 2 or 3
  • pip and virtualenv to handle application dependencies
  • A free Twilio account to use their phone calling web API
  • Twilio's Python helper library, version 5.7.0, which is available on PyPI

Twilio is a web application programming interface (API) that software developers can use to add communications such as phone calling, messaging, video and two-factor authentication into their Python applications.

Created app will use the Twilio Python helper library to create an HTTP POST request to Twilio's API. 

You can view full tutorial at the Full Stack Python.

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   143

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.