Python Weekly (Issue 418 October 10 2019)

Python Weekly - Issue 418

October 10, 2019

Python Weekly

Welcome to issue 418 of Python Weekly. Let's get straight to the links this week.

From Our Sponsor 

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News

PyCon US 2020 has opened applications for Financial Aid and we’ll be accepting them through January 31, 2020. The Python Software Foundation & PyLadies make Financial Aid possible. This year, the Python Software Foundation is contributing $130,000 USD towards financial aid and PyLadies will contribute as much as they can based on the contributions they get throughout 2019.

You can now directly edit .ipynb files and get the interactivity of Jupyter notebooks with all of the power of VS Code. You can manage source control, open multiple files, and leverage productivity features like IntelliSense, Git integration, and multi-file management, offering a brand-new way for data scientists and developers to experiment and work with data efficiently.

Articles, Tutorials and Talks

Create a dataset from the Last.fm API in this Python tutorial. Includes authentication with API keys, pagination, rate limiting, and more!

This document serves as an introduction, crash course, and quick API reference for TensorFlow 2.0.

In this video we'll build a Resume Website With Python and Django. If you're wondering how easy it is to build a simple static website with Django and Python, this is the video for you.

When creating Django applications or using cookiecutters as Django Cookiecutter you will have by default a number of dependencies that will be needed to be created as a S3 bucket, a Postgres Database and a Mailgun domain. On top of this you'd most likely want to add basic monitoring, a DNS service, Google Search Console, Google Analytics etc. We'll go through all of these services and setup all the resources declaratively (infrastructure as code) with Terraform. This will be then easily repeatable for any new Django application that needs to be deployed.

Tired of having to reload a module each time you change it? %autoreload to the rescue!

Python 2 End of Life is coming soon. Please take our 5-min. survey on how you're preparing for the change. You'll get the final results plus the chance to win a camera drone. Thanks for your time! 

SPONSORHow to Implement Bayesian Optimization from Scratch in PythonIn this tutorial, you will discover Bayesian Optimization for directed search of complex optimization problems.The dumb reason your fancy Computer Vision app isn’t working: Exif OrientationIn my experience, there is one technical problem that trips people up more often than any other. No, it’s not a complicated theoretical issue or an issue with expensive GPUs. It’s the fact that almost everyone is loading their images into memory sideways without even knowing it. And computers are less than excellent at detecting objects or identifying faces in sideways images.Introduction to AutoML with MLBoxIn this post, we'll show you how you can easily use it to train an automated machine learning pipeline for a classification problem. It'll start off by loading and cleaning the data, removing drift, launching a strong pipeline of accelerated optimization and generating predictions.How Dictionaries Are Implemented in CPythonIn this post you’ll learn what hash tables are, why you would use them, and how they’re used to implement dictionaries in the most popular Python interpreter — CPython.Using Python To Simulate The Monty Hall Problem The Monty Hall Problem gets its name from the TV game show, Let's Make A Deal, hosted by Monty Hall. In this video I show a simulation I created to demonstrate the Monty Hall Problem.Upcoming Webinar: Machine Learning Vital SignsIn this webinar, Donald Miner - drawing upon his prior experience as a data scientist, engineer, and CTO - details the tracking of machine learning models in production to ensure model reliability, consistency, and performance into the future. SPONSORPrice intelligence with Python: Scrapy, SQL and PandasIn this price intelligence article we will extract product data from e-commerce websites then try to get some insights out of it.What’s New In Python 3.9This article explains the new features in Python 3.9, compared to 3.8.Predicting Forest Type using Spectral DataOur primary aim in this article would be to classify forests based on their attributes into 4 classes, Sugi forest, Hinoki forest, Mixed deciduous forest and Other non-forest land. These values are denoted by letters ‘s’,’h’,’d’ and ‘o’ respectively in our dataset.Is Rectified Adam actually *better* than Adam?Is the Rectified Adam (RAdam) optimizer actually better than the standard Adam optimizer? According to my 24 experiments, the answer is no, typically not (but there are cases where you do want to use it instead of Adam).Solving all 42 versions of the Harry Potter potions puzzleThere's a neat puzzle near the end of Harry Potter and the Philosopher's Stone (aka Sorcerer's Stone). In this post, we're going to solve all 42 possible versions of the puzzle via programming and create a diagram of the results.Python and fast HTTP clientsGenerating Nintendo Music Over the Phone in Python with Magenta and TwilioSix Django template tags not often used in tutorialsPyPy's new JSON parserAuto formatters for PythonInteresting Projects, Tools and LibrariesHydraA framework for elegantly configuring complex applications.imagededupFinding duplicate images made easy! Streamlit The fastest way to build custom ML tools.brightmlConvenient Machine-Learned Auto Brightness.common_internA selenium script to automatically apply to software engineering internships!PytifyA CLI application for controlling Spotify.video2xA lossless video enlarger/video upscaler achieved with waifu2x and Anime4K. GeoNode GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.UniLM Unified Language Model Pre-training.rpiapiAn API for your Raspberry Pi.python-dsThis repository contains data structures and algorithms concepts and questions in Python.flask-swagger-typesA swagger spec generator and type checker for flask.KorniaKornia is a differentiable computer vision library for PyTorch.entroPyBinary file entropy visualizer written in Python.New ReleasesPython in Visual Studio Code – October 2019 ReleaseIn this release we addressed 97 issues, including native editing of Jupyter Notebooks, a button to run a Python file in the terminal, and linting and import improvements with the Python Language Server.Upcoming Events and WebinarsLjPyMeetup October 2019 - Ljubljana, SloveniaThere will be following talks

  • Haskell for Python programmers

  • Challenges with machine vision in Smart farming

  • Simplify your API with Django REST Framework viewsets

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