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Welcome to issue 473 of Python Weekly. Let's get straight to the links this week.
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From Our Sponsor
Articles, Tutorials and Talks
OpenCV Course - Full Tutorial with Python 
We'll start all the way from the very basics (reading images and video, image transformations, drawing on images) to the more advanced concepts (color spaces, edge detection, and thresholding). Towards the end, we'll be building a Deep Computer Vision model to detect between the characters in "The Simpsons".
User Authentication
The focus in this Understand Django article is how to manage users in your Django application. We'll study Django's built-in user authentication system.
Python behind the scenes #4: how Python bytecode is executed
The goal of this post is to explain how CPython does what we tell it to do, that is, how it executes the bytecode to which the code we write compiles.
Five Advanced Django Tips
In this article, we'll dive into advanced django tips, including Q objects, annotations, prefetch objects, custom querysets, and custom model managers.
Fight San Francisco Crime with fast.ai and Deepnote
This article will focus on how Deepnote’s Jupyter-backed notebook environment and fast.ai’s effective encapsulation of machine learning data preparation greatly improve data scientist efficiency.
AprilTag with Python
AprilTags are a type of fiducial marker. Fiducials, or more simply “markers,” are reference objects that are placed in the field of view of the camera when an image or video frame is captured. In this tutorial, you will learn how to perform AprilTag detection with Python and the OpenCV library.
Build Your Next Project with Wolfram Alpha API and Python
Let’s get curated data, natural language processing, text-to-speech, plot rendering and more from Wolfram Alpha into your next project!
Python and Pandas : First Contact with Data
As a data scientist or an analyst, the quality of the data you work with is crucial to your success. The old GIGO acronym, which stands for “garbage in, garbage out”, is very true. In this blog post, we’ll discuss methods and practices that will make your first contact with data successful and will save you from a lot of grief down the road.
Random Forest for Time Series Forecasting
Random Forest is a popular and effective ensemble machine learning algorithm. In this tutorial, you will discover how to develop a Random Forest model for time series forecasting.
Can We Fit Rock Paper Scissors in Python in a Tweet?
Deploy Interactive Real-Time Data Visualizations on Flask With Bokeh
OpenPyXL – Working with Microsoft Excel Using Python
Interesting Projects, Tools and Libraries
Ryven
A simple flow-based visual scripting runtime environment for Python, serving as a diagram-like representation of your Python script while being executable at the same time.
Django Doctor
Auto fix Django code smells in your pull requests.
kord
A music theory development framework in Python.
Infection Monkey
An open source security tool for testing a data center's resiliency to perimeter breaches and internal server infection. The Monkey uses various methods to self propagate across a data center and reports success to a centralized Monkey Island server.
Vector Hub
A library for publication, discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
Pynguin
Pynguin, the PYthoN General UnIt test geNerator, is a tool that allows developers to generate unit tests automatically.
Liszt
A personal organization software with a script engine for automation.
Fedlearner
A multi-party collaborative machine learning framework.
dataclassframe
A container for dataclasses with multi-indexing and bulk operations.
mltype
Command line tool for improving typing skills (programmers friendly)
Linqit
Extends python lists with LINQ functionality for clean, fast coding.
code-video-generator
Code Video Generator is a library that uses the Manim animation engine to automatically generate code walkthrough videos.
New Releases
pygame 2.0
Django bugfix releases issued: 3.1.3, 3.0.11, and 2.2.17
Python 3.10.0a2
Upcoming Events and Webinars
Virtual: PyData Global 2020
PyData Global 2020 is the very first fully-online PyData conference. Join our global community for five days packed with talks, tutorials, posters, open-source sprints and a digital hallway track.
Virtual: PyCon Sweden 2020
PyCon SE 2020 will be held completely online. We will stream all talks live via our YouTube channel for free.
Virtual: PyMNtos Python Presentation Night #89
There will be following talks
- Social Dealings with Python
- You Only Look Once (YOLO), a new computer vision technique
- Crossword Puzzle generation using pyqt5
Virtual: Cleveland Python Meetup November 2020
There will be following talks
- Github Actions
- Infrastructure (Diagrams!) as Code
Virtual: Austin Python Meetup November 2020
There will be following talks
- Giving the gift of your code
- Deploying Computer Vision Models to the Edge in the Wild
Virtual: San Francisco Python Meetup November 2020
There will be following talks
- PySpark : Combining Machine Learning & Big Data
- A pandas-like API for PySpark
Virtual: IndyPy Monthly Meetup: Electron
There will be following talks
- Build a standalone desktop app using Flask & Electron
- Fishbowl Discussion of Electron
Virtual: San Francisco Django Meetup November 2020
There will be a talk, Data-Driven Development using Feature Flags.
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