PythonHub Logo Python Hub Weekly Digest for 2023-03-19

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๐Ÿ’– Most Popular

Textual is a beautiful Terminal User Interface library in Python

How to Build a Complete Python Package Step-by-Step
Do you want to know how to build a complete Python package? Well, look no further! This video will take you step-by-step through the entire process, from creating your project to publishing it on PyPI.

Overhead of Python Asyncio Tasks

Algorithmic Trading in Python with Machine Learning.

Build A SaaS From Scratch
Learn how to build a SaaS from scratch using Django, Tailwind and Stipe as the payment gateway.

๐Ÿ“– Articles

How Python virtual environments work

Taichi lang: High-performance parallel programming in Python

jaymody / picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy.

Data validation in Python: a look into Pandera and Great Expectations
Data validation is a vital step in any data-oriented workstream. This post investigates and compares two popular Python data validation packages - Pandera and Great Expectations.

How We Deploy 5X Faster with Warm Docker Containers
Using pex, Serverless Dagster Cloud now deploys 4 to 5 times faster by avoiding the overhead of building and launching Docker images.

When to use Python's "list" function
When should you use the built-in list(...) function in Python? And when shouldn't you? The list constructor is both underused and overused in Python.

jerryjliu / llama_index
LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.

Building a Bloom filter
In this post, we will explore the Bloom filter โ€” a data structure that is ingenious in its simplicity and elegant in its design

The Speed of Python: It Ainโ€™t That Bad!
I hear all the time that Python is way too slow. Is it?

An opinionated Python boilerplate

Launch HN: Pynecone (YC W23) โ€“ Web Apps in Pure Python

Show HN: Codon: A Compiler for High-Performance Pythonic Applications and DSLs [pdf]

Python Automation with ChatGPT
In this video we are going to learn how to use Python to automate things for us so we don't have to do them manually. But here's even more interesting thing we will do we will ChatGPT and we will tell Python to use ChatGPT's API or the underlying API that ChatGPT is also using to generate the Python scripts for the two use cases.

โš™๏ธ Projects

An intuitive UI for managing data, for users of all technical skill levels. Built on Postgres.

Productivity tool for quickly creating python programs that parse command-line arguments. Stop writing argparse boilerplate code!

Course on diffusion generative models in a fast forward mode.

ChatGPT in command line with gpt-3.5-turbo api.

๐Ÿ‘พ Reddits

New book available: Python GUI - Develop Cross Platform Desktop Applications using Python, Qt and PySide6

is Amazon Unscrapable?

Creosote - Identify unused dependencies and avoid a bloated virtual environment

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