Hi all, this is the fifteenth issue of the Habrahabr digest of news from the world of Python.
In today’s issue, you’ll find interesting content related to Django, machine learning, algorithms, the inner workings of Python, and much more. Send your relevant material as well as any comments and suggestions to be added to the next digest.
And now to business!
OpenDataScience and Mail.Ru Group will hold an open course on machine learning
Reverse engineer a Python object
About the innards of objects in Python.
Python decorators, the right way: the 4 audiences of programming languages
Interesting post about decorators in Python.
The Hitchhiker’s Guide to Machine Learning in Python
A great introductory tutorial and collection of material on machine learning for beginners.
Clean Architecture in Django
A little post about clean architecture in Django applications.
A Minimal Django Application
Tutorial for Django beginners – how to create a minimal Django application.
Python __init__.py modular Imports
On how module imports work in Python.
Using K-Means to analyse hacking attacks
An article on using the k-means algorithm to analyze hacking attacks.
Python bytecode reverse-engineering
Cool article on Python bytecode reverse-engineering.
Controlling Python Async Creep
A note on controlling asynchronous code execution in Python.
Demystifying Dynamic Programming
About what dynamic programming is with examples in Python from freeCodeCamp.
Detecting fake banknotes using TensorFlow
An article about using machine learning and TensorFlow to detect fake money.
Building a Music Recommender with Deep Learning
How to build your own music recommender service?
Library for learning algorithms on the fly
"Pocket" implementation of Bitcoin
JSON schema based data validation tool
Tool for analyzing domain security based on all available information about a domain
Tool to find hidden instructions and bugs in x86 processors
PyCon Australia 2017
Video from the PyCon Australia 2017 conference
Find the previous issue of the digest here :
Pygest #14. Releases, articles, interesting projects from the world of Python [July 18, 2017 – July 31, 2017]
Thank you for your attention! Send your suggestions for publication in the digest!