Following the talk about Aleph.im in the previous days, we will create a device that pushes its data to a decentralized and verifiable (signed data) network.
Discover Python's ast module to see how you can
analyze and generate Python code.
Have you ever wondered about how those data scientists at Facebook and LinkedIn make friend recommendations? In this tutorial we'll work with networks using Python, and we will look at various real world applications of network science.
One of the best way to understand how programming languages work (including Python), is to implement one.
Named-Entity-recog and document-classification are by far the most common NLP tasks.
This workshop would focus on the named-entity-recognition (NER) with deep learning methods.
Python is known for its ability to interoperate with other languages. We will learn how to call C from Python using CFFI, Ctypes, Cython, and others