Python Weekly (Issue 453 June 11 2020)

Python Weekly - Issue 453

June 11, 2020

Python Weekly

Welcome to issue 453 of Python Weekly. I am a nominee for the PSF’s 2020 Board of Directors Election.

If you’re a voting member of PSF, I would really appreciate it if you vote for me. 

 You can vote for new directors until the end of June 17th. A list of candidates and their information can be found

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Articles, Tutorials and Talks

The Go programming language shines when writing high throughput services, and Python shines when used for data science. In this series of blog posts, we’re going to explore how you can use each language to do the part it’s better and explore various methods of communication between Go & Python. In this post, we’ll learn how Go and Python programs can communicate between each other using gRPC.

In this tutorial, we'll be learning how to calculate the duration of a YouTube playlist. The duration of a playlist is likely one of the first things people will look for before watching, but YouTube doesn't currently have this information available on their site. So we will use the API to calculate this for us. 

Learn some tricks to write better Python code.

This post covers the process of creating an end-to-end proof-of-concept (POC) machine learning product, Venti, which is a Medium-like site that generates VC thinkpieces.

In this video we walk through the process of training a convolutional neural net to classify images of rock, paper, & scissors. We do this using the Tensorflow & Keras libraries.

In this post we are going to discuss the linear regression model used in machine learning. Modeling for this post will mean using a machine learning technique to learn - from data - the relationship between a set of features and what we hope to predict.

Experts discuss hard web production problems. 40+ talks on Django, Plone, CI/CD, Containers, Serverless, REST APIs, microservices, etc. Join JetBrains and Six Feet Up to discuss what the future holds.

SPONSORPedantic Configuration Management with PydanticMitigating Python application's configuration madness with Pydantic.How to Use Python to Monitor & Measure Website PerformanceBuild your own custom Python script to automate the measurement of key speed and performance metrics for your website with this beginner-friendly guide.NLP Datasets: How good is your deep learning model?With the rapid advance in NLP models we have outpaced out ability to measure just how good they are at human level language tasks. We need better NLP datasets now more than ever to both evaluate how good these models are and to be able to tweak them for out own business domains.Generating color palettes from movies with Python In this tutorial we're going to create a Python program that can automatically generate Pinterest style color palette images from iconic scenes of our favourite movies.Using Graphene to setup GraphQL queries with DjangoIn this tutorial, you'll see how you can use it with Django to set up a schema and a single endpoint for all your data, using graphene and graphene_django.How to Build a Raspberry Pi Body CameraUsing the Raspberry Pi Zero W to create a body camera can capture vital moments at protests or important moments of your life.Django Class-Based Views in DiagramsVisualizing Django's built in Class-Based Views. Each diagram starts at the dispatch method, which routes the view logic based on whether it is a POST or GET request, and continues through the view until it reaches the response or redirect.Let's make a Teeny Tiny compiler, part 1A part one of a series of posts that go step by step in building a working compiler.

  • Part 2 - We finished the lexer in part 1, so now we will be focusing on the parser.

London Bike Ride Forecasting with Graph Convolutional NetworksEnd-to-End PyTorch Deep-Learning from Concept to Validation.Why You Should Use More Enums In PythonA gentle introduction to enumerations in Python.Build Your Own Machine Translation Service with TransformersUsing the latest Helenski NLP models available in the Transformers library to create a standardized machine translation service.Hacking the Redis Protocol to use as an HTTP API alternative with Asyncio in PythonHow async should have beenPython+FontForge+Org: I made a font based on my handwriting!Exploring Timing Attacks with Python Devops for Data Science: Making your Python Project Reproducible Interesting Projects, Tools and Librariescalmcode Code. Simply. Clearly. Calmly. Short and simple video lessons that start from scratch. Tools and thoughts that might make your professional life more enjoyable.ungoogled-chromiumA lightweight approach to removing Google web service dependencyTinoMicro Server-Server Framework for Python.instant_apiInstantly create an HTTP API with automatic type conversions, JSON RPC, and a Swagger UI. Just add methods!ppciA compiler for ARM, X86, MSP430, xtensa and more implemented in pure Python.atbswpLiterally Automate the boring stuff with Python, allows the user to record his mouse and keyboard actions and reproduce them identically as many times as he wants.Ciphey Ciphey is an automated decryption tool. Input encrypted text, get the decrypted text back.Texthero Text preprocessing, representation and visualization from zero to hero.DashboardA tkinter GUI collating various data.MetaframeCLI data documentation tool & catalog, built using fzf and amundsen-databuilder. genetic-drawingA genetic algorithm toy project for drawing.hardcodeshardcodes is a utility for searching strings hardcoded by developers in programs. It uses a modular tokenizer that can handle comments, any number of backslashes & nearly any syntax you throw at it.icl An interactive memory aid for one-liners.pyinfra pyinfra automates infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployment, configuration management and more.PulseTracker PulseTracker is a simple Python library used to monitor heart rate using video.UnsilenceConsole Interface and Library to remove silent parts of a media file.New ReleasesPython 3.9.0b3Python 3.9.0b3 is now available for testing. Also learn what happened to Beta 2 Upcoming Events and WebinarsVirtual: PyData Berlin June 2020 MeetupThere will be following talks

  • Computer vision methods for skin cancer recognition

  • Introduction to Time Series Analysis and Forecast

Virtual: Causal Modeling in Machine LearningIn this talk, speaker Robert Ness introduces causal inference in the language of machine learning, and illustrates how to build causal models and perform causal reasoning using deep probabilistic models. Code examples are included.Virtual: PyData SoCalThere will be a talk, Computing a Distance-preserving Matrix Sketch Algorithm to Enable Visualizations of Large Rectangular Datasets.PyHou Meetup June 2020 - Houston, TX 

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