Python Weekly (Issue 425 November 28 2019)

Python Weekly - Issue 425

November 28, 2019

Python Weekly

Welcome to issue 425 of Python Weekly. Let's get straight to the links this week.

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Articles, Tutorials and Talks

In this tutorial you will learn how to perform Human Activity Recognition with OpenCV and Deep Learning. Our human activity recognition model can recognize over 400 activities with 78.4-94.5% accuracy (depending on the task).

How I used my data science skill set to find the best deal for our new family car.

GNES is an open-source cloud-native semantic search solution based on deep neural network. This post shows you how to use the latest GNES Flow API and Tensorflow 2.0 to build a video semantic search system. 

Documentation is best as part of the development process. Sphinx, along with Tox, makes it easy to write and beautiful to look at.

A conversation with the creator of the world’s most popular programming language on removing brain friction for better work.

Retention is arguably the new marketing gold, but it’s not always easy to calculate it. With this simple Python script, that will change!

This article will discuss several ways that the pandas iloc function can be used to select columns of data.

This tutorial will show you how to create a Seaborn boxplot. It will explain the syntax and show you step-by-step examples of how to create box plots with Seaborn.

In this project, we will create recommendations for increasing revenue at Kaggle, an online community for data science professionals. We will analyze a Kaggle customer survey, attempting to learn if there are any indicators of potential revenue growth for the company.

A glimpse into the technology used in driver-less cars.

Interesting Projects, Tools and Libraries

Flan Scan is a lightweight network vulnerability scanner. With Flan Scan you can easily find open ports on your network, identify services and their version, and get a list of relevant CVEs affecting your network.

Generate an interactive geo heatmap from your Google location data.

NBoost is a scalable, search-engine-boosting platform for developing and deploying state-of-the-art models to improve the relevance of search results.

A graph-based functional API for building complex scikit-learn pipelines.

Relé makes integration with Google PubSub straightforward and easy.

The strictest and most opinionated python linter ever!

Chepy is a python library with a handy cli that is aimed to mirror some of the capabilities of CyberChef.

A simple file-based key-value database written in Python.

QR code based attendance monitor, control and automation. Features dynamic authentication (key generation) and validation.

Corsy is a lightweight program that scans for all known misconfigurations in CORS implementations.

An implementation of 3D Ken Burns Effect from a Single Image using PyTorch.

parliament is an AWS IAM linting library.

Qiling is an advanced binary emulation framework.

A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

Appelpy is the Applied Econometrics Library for Python. It seeks to bridge the gap between the software options that have a simple syntax (such as Stata) and other powerful options that use Python's object-oriented programming as part of data modelling workflows

Upcoming Events and Webinars

Many researchers and analysts work with data heavily populated with text, or are loosely structured text, and images. Many tutorials, training, and packages presume a purely numerical world, or ignore the transformations necessary for preparing this kind of data for numerical analysis. This talk will focus on highlighting the transformation pathways for this kind of data, exploring the consequences of not including this kind of data in tutorials, and suggestions for understanding the needs of these data projects.

In this session, we will learn about Invoke, a Python library that helps us make our tools more accessible and manageable. We'll start from simple techniques that you can start using today, all the way to a more advanced installation using Invoke to help administer, build and deploy from a mono-repo with many applications.

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