Quickadd: A Python library for extracting date and time from natural language
https://github.com/Acreom/quickadd
https://github.com/Acreom/quickadd
GitHub
GitHub - Acreom/quickadd: Parse natural language time and date expressions in python
Parse natural language time and date expressions in python - GitHub - Acreom/quickadd: Parse natural language time and date expressions in python
python-omemo
A Python implementation of the OMEMO Multi-End Message and Object Encryption protocol.
https://github.com/Syndace/python-omemo
A Python implementation of the OMEMO Multi-End Message and Object Encryption protocol.
https://github.com/Syndace/python-omemo
GitHub
GitHub - Syndace/python-omemo: An open python implementation of the OMEMO Multi-End Message and Object Encryption protocol.
An open python implementation of the OMEMO Multi-End Message and Object Encryption protocol. - GitHub - Syndace/python-omemo: An open python implementation of the OMEMO Multi-End Message and Object...
Write Chrome Extensions in Python
In Python?!! That’s right, and it’s pretty painless with PyScript.
https://medium.com/@petefison/write-chrome-extensions-in-python-6c6b0e2e1573
In Python?!! That’s right, and it’s pretty painless with PyScript.
https://medium.com/@petefison/write-chrome-extensions-in-python-6c6b0e2e1573
Medium
Write Chrome Extensions in Python (Part 1)
In Python?!! That’s right, and it’s pretty painless with PyScript…
Best Data Structures Books | Algorithms Books for Beginners in 2022 -
https://www.reddit.com/r/madeinpython/comments/z0yu4a/best_data_structures_books_algorithms_books_for/
https://www.reddit.com/r/madeinpython/comments/z0yu4a/best_data_structures_books_algorithms_books_for/
Reddit
From the madeinpython community on Reddit: Best Data Structures Books | Algorithms Books for Beginners in 2022 -
Explore this post and more from the madeinpython community
Unpopular Opinion: Pycharm is far overrated, and Vs code is fast, has great autocomplete, and is much less bloated!
https://www.reddit.com/r/Python/comments/yvqawd/unpopular_opinion_pycharm_is_far_overrated_and_vs/
https://www.reddit.com/r/Python/comments/yvqawd/unpopular_opinion_pycharm_is_far_overrated_and_vs/
Reddit
r/Python - Unpopular Opinion: Pycharm is far overrated, and Vs code is fast, has great autocomplete, and is much less bloated!
530 votes and 566 comments so far on Reddit
Docker compose with Django 4, Celery, Redis and Postgres
Django deployment might be painful. This post describes an approach for deploying Django and Celery with docker-compose, so you can reuse it in your app.
https://saasitive.com/tutorial/django-celery-redis-postgres-docker-compose/
Django deployment might be painful. This post describes an approach for deploying Django and Celery with docker-compose, so you can reuse it in your app.
https://saasitive.com/tutorial/django-celery-redis-postgres-docker-compose/
React and Django Tutorial
Docker compose with Django 4, Celery, Redis and Postgres
Deploying Django application that is using Celery and Redis might be challenging. Thanks to docker-compose tool we can prepare docker containers locally and make deployment much easier. I would like to show you my approach for constructing docker-compose…
Python Type Hints: case study on parsy
How the author tried and failed to add static type checking to Parsy, and settled for type hints as documentation instead.
https://lukeplant.me.uk/blog/posts/python-type-hints-parsy-case-study/
How the author tried and failed to add static type checking to Parsy, and settled for type hints as documentation instead.
https://lukeplant.me.uk/blog/posts/python-type-hints-parsy-case-study/
Luke Plant's home page
Python Type Hints: case study on parsy
How I tried and failed to add static type checking to Parsy, and settled for type hints as documentation instead.
Show HN: Python library for embedding large graphs (Written in Rust)
https://github.com/H4kor/graph-force
https://github.com/H4kor/graph-force
GitHub
GitHub - H4kor/graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.
Python library for embedding large graphs in 2D space, using force-directed layouts. - H4kor/graph-force
semantic-code-search
Search your codebase with natural language • CLI • No data leaves your computer.
https://github.com/sturdy-dev/semantic-code-search
Search your codebase with natural language • CLI • No data leaves your computer.
https://github.com/sturdy-dev/semantic-code-search
GitHub
GitHub - sturdy-dev/semantic-code-search: Search your codebase with natural language • CLI • No data leaves your computer
Search your codebase with natural language • CLI • No data leaves your computer - sturdy-dev/semantic-code-search
FlagAI
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
https://github.com/FlagAI-Open/FlagAI
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.
https://github.com/FlagAI-Open/FlagAI
GitHub
GitHub - FlagAI-Open/FlagAI: FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large…
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. - FlagAI-Open/FlagAI
ds-blocks
Write highly modular, compact, and decoupled data science pipelines.
https://github.com/Jaume-JCI/ds-blocks
Write highly modular, compact, and decoupled data science pipelines.
https://github.com/Jaume-JCI/ds-blocks
kangas
Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.
https://github.com/comet-ml/kangas
Kangas is a tool for exploring, analyzing, and visualizing large-scale multimedia data. It provides a straightforward Python API for logging large tables of data, along with an intuitive visual interface for performing complex queries against your dataset.
https://github.com/comet-ml/kangas
GitHub
GitHub - comet-ml/kangas: 🦘 Explore multimedia datasets at scale
🦘 Explore multimedia datasets at scale. Contribute to comet-ml/kangas development by creating an account on GitHub.
Multiprocessing Race Conditions in Python
In this tutorial, you will discover how to identify and fix race conditions with processes in Python.
https://superfastpython.com/multiprocessing-race-condition-python/
In this tutorial, you will discover how to identify and fix race conditions with processes in Python.
https://superfastpython.com/multiprocessing-race-condition-python/
Super Fast Python
Multiprocessing Race Conditions in Python - Super Fast Python
You can suffer race conditions when using process-based concurrency via the multiprocessing module in Python. The types of race conditions we can expect may be different than those expected with threads, given that we are working with processes that do not…
Season 3 Episode 8: Rivers Cuomo and Guido van Rossum
Rock icon Rivers Cuomo goes deep on coding talk with Python computer language creator and programming icon, Guido Van Rossum. We talk about the history of The Sweater Song, coding vs songwriting, the history of Python and much, much more!
https://www.singforscience.org/episodes/rivers-cuomo-guido-van-rossum
Rock icon Rivers Cuomo goes deep on coding talk with Python computer language creator and programming icon, Guido Van Rossum. We talk about the history of The Sweater Song, coding vs songwriting, the history of Python and much, much more!
https://www.singforscience.org/episodes/rivers-cuomo-guido-van-rossum
Sing for Science
Season 3 Episode 8: Weezer’s Rivers Cuomo and Guido van Rossum — Sing for Science
Rock icon Rivers Cuomo goes deep on coding talk with Python computer language creator and programming icon, Guido Van Rossum. We talk about the history of The Sweater Song, coding vs songwriting, the history of Python and much, much more!