Python Weekly (Issue 417 October 3 2019)

Python Weekly - Issue 417

October 03, 2019

Python Weekly

Welcome to issue 417 of Python Weekly. Let's get straight to the links this week.

From Our Sponsor 

Monitor your Python applications in real time with Datadog's distributed tracing and APM. Pinpoint bottlenecks with detailed flame graphs and trace requests as they travel across service boundaries.

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Articles, Tutorials and Talks

Uber introduces Hypothesis GU Func, a new extension to Hypothesis, as an open source Python package for unit testing.

Learn how to build an iOS app that uses ML to recognize logos — also explore how different model architectures perform on this task.

Recursion can be tricky to grasp. Professor Thorsten Altenkirch uses Python to demonstrate an example taken from his latest book. 

TensorFlow 2 is now live! This tutorial walks you through the process of building a simple CIFAR-10 image classifier using deep learning.

Tips for Better Logistic Regression Models in Scikit-Learn.

Inspired by GOF patterns, implemented with methods and decorators.

Learn to create Python scripts for data analysis using the Command Line in this intermediate Python tutorial digging into Hacker News headlines.

This post shows you how to build an interactive game for 2–6 years old kids to learn English vocabulary and have fun.

In this tutorial, you will learn how to use Keras and the Rectified Adam optimizer as a drop-in replacement for the standard Adam optimizer, potentially leading to a higher accuracy model (and in fewer epochs).

Getting all your standard data analysis done in less than 30 seconds. The wonders of Pandas Profiling.

In this tutorial I'm going to show you how to build an app for managing your contacts using Vue.js and Django. We're also going to use the Bulma CSS framework to speed up the whole process.

In this extensive tutorial you will learn how to work with Pandas iloc and loc to slice, index, and subset your dataframes, e.g., by row and columns.

In this tutorial, you will prepare a dataset of sample tweets from the NLTK package for NLP with different data cleaning methods. Once the dataset is ready for processing, you will train a model on pre-classified tweets and use the model to classify the sample tweets into negative and positives sentiments.

Interesting Projects, Tools and Libraries

A code-completion engine for Vim.

A drag and drop GUI builder.

IP lookup from favicon using Shodan.

An open source replacement to the traditional DFIELD and PPLANE applications for solving systems of ODEs.

AutoRecon is a multi-threaded network reconnaissance tool which performs automated enumeration of services.

Web scraping with pure python.

A collection of experiments in reinforcement learning.

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

Convert all your PHOTOS to travel log of visited Locations in Google Maps and MS Excel format.

New Releases

TensorFlow 2.0 focuses on simplicity and ease of use, featuring updates like:

  • Easy model building with Keras and eager execution.

  • Robust model deployment in production on any platform.

  • Powerful experimentation for research.

  • API simplification by reducing duplication and removing deprecated endpoints.

Upcoming Events and Webinars

In this session we’ll talk a bit about what Swayance is and how we do what we do. Then we'll deep dive into how it was built using mostly Python. We'll look at code, walk through what it does, talk about why we made certain decisions, and look at how it all runs on AWS for mostly free.

There will be following talks

  • Iterators and generators

  • Embedding Python in the JVM

There will be following talks

  • Convolutional Junction...What's your function?

  • Technology is generic and doesn't actually solve your problem

  • Monte Carlo Simulations in Python

There will be following talks

  • Better Interviewing Through Python

  • Keeping Yourself Honest: Preparing for Microservices

  • Building Scalable Api With Microservices Using Python

There will be following talks

  • Intro to Distributed Systems with ZeroMQ

  • HTTP Packages in Python

  • PyMNtos Then and Now

Our Other Newsletters

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