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- Python Weekly (Issue 497 April 29 2021)
Python Weekly (Issue 497 April 29 2021)
Python Weekly - Issue 497
Python Weekly
Welcome to issue 497 of Python Weekly. Let's get straight to the links this week.
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News
We're looking for talks on any topics of interest to Python users. The deadline to submit your proposal is 05-03-2021.
Articles, Tutorials and Talks
A nice collection of talks outlining tools and methodologies aimed at using Python in chip design verification.
What you can do without Pandas.
A is more about understanding LUTs and HaldCLUTs and writing methods from scratch to apply these LUTs to an image rather than coming up with CLUTs themselves from scratch.
This post provides some motivation for using declarative validation technique and then build a small library in Python implementing these ideas.
A first part of the guide on implementing ML and AI solutions into manufacturing company. This guide can be applied to all types of factories and products, which generate structured data preferable stored in the databases.
A tutorial on creating Plotly and Bokeh plots directly with Pandas plotting syntax.
Learn about basic data structure concepts by building a Flask API with Python.
Interesting Projects, Tools and Libraries
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
Turns your Python functions into microservices with web API, interactive GUI, and more.
Learn how to implement a pure Python implementation of Bitcoin from-scratch with zero-dependency.
A machine that helps our beloved elders to keep communicating with their grandchildren. It’s powered by a Raspberry Pi 4, runs on Python, and uses several third-party software libraries to tie everything together.
Jupyter Notebooks in the terminal.
Simple CLI tool to track your cryptocurrency portfolio in real time.
Video Generation using VQ-VAE and Transformers.
secure.py is a lightweight package that adds optional security headers for Python web frameworks.
tfquery is a framework that allows running SQL queries on Terraform code. It's made to analyze your Terraform infrastructure, locate resources, run security compliance checks, spot misconfigured resources, develop CI benchmarks, and much more.
Entity Embed is a PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
A Python implementation of the Unity Engine that supports different types of windows.
Esparto is a super minimal frontend web framework written in Python. Its primary use is for generating shareable single page documents with content from popular analytics and data science libraries.
Upcoming Events and Webinars
There will be following talks
Interpretable Sequence Learning for Covid-19 Forecasting
Protecting Secrets using Adversarial Nets
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