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- Python Weekly (Issue 398 May 23 2019)
Python Weekly (Issue 398 May 23 2019)
Python Weekly - Issue 398
Python Weekly
Welcome to issue 398 of Python Weekly. Let's get straight to the links this week.
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Articles, Tutorials and Talks
I've built a tool for teachers that automatically grades and validates essays using modified versions of popular language models, specifically BERT and GPT-2. It's called EssayBrain and I built it using the Python programming language, as well Flask, Tensorflow.js, Tensorflow, D3.js, CopyLeaks, Stripe, and Firebase. In this video tutorial, I'll guide you through my process as I build this project. The code is open source.
This post will walk you through how to use the Microsoft Azure Face API to detect emotions from images.
With the Nvidia Jetson Nano, you can build stand-alone hardware systems that run GPU-accelerated deep learning models on a tiny budget. It’s just like a Raspberry Pi, but a lot faster. To get you inspired, let’s build a real hardware project with a Jetson Nano. We’ll create a simple version of a doorbell camera that tracks everyone that walks up to the front door of your house. With face recognition, it will instantly know whether the person at your door has ever visited you before — even if they were dressed differently. And if they have visited, it can tell you exactly when and how often.
In this video I'll show you how an artificial neural network works, and how to make one yourself in Python.
Finding your way around PyTorch's internals.
Railyard is Stripe's system for training machine learning models, built with Kubernetes. In this post, we’ll discuss Railyard and best practices for operating machine learning infrastructure we’ve discovered while building this system.
Building a REST API in Django is so super easy. In this tutorial, we’ll walk through the steps to get your first API up and running.
Analysing Airbnb data can help boost your listing’s earnings.
Excited about your python project? Do you want to share it with a wider audience? Packaging and publishing your package is a great way to get other people interested in your project. Here is a simple step by step guide to build and publish your first python package.
Amber Brown of the Twisted project shared her criticisms of the Python standard library. This proved to be the day’s most controversial talk; Guido van Rossum stormed from the room during Q & A.
Interesting Projects, Tools and Libraries
Adding structure to the UNIX tools.
A Python implementation for teaching coding with microcontrollers.
Carnets is a stand-alone Jupyter notebook server and client. Edit your notebooks on the go, even where there is no network.
Fit interpretable models. Explain blackbox machine learning.
Selenium script to delete all of your Facebook wall posts.
Python 3 TSP solver based on LKH (cross platform).
An artificial neural network and API to detect Windows malware, based on Ergo and LIEF.
A cross-platform multi monitor wallpaper manager.
A Holistic Approach to Semi-Supervised Learning.
Upcoming Events and Webinars
There will be following talks
So you want to be a manager
Async web servers; design and implementation
Whether you're moving to Python from another coding language or are just looking to get started, there are some important key functions, tips & tricks you need to know. We'll discuss Python best practices with pyenv, virtualenv and pipenv - and what's the difference between them.
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