A weekly overview of the most popular Python news, articles and packages
Newsletter » 323
Aug 04, 2022
Popular News and Articles
-
A free 'learning map' I found to learn Python.app.learney.me
-
How to Choose the Right Python Concurrency APIsuperfastpython.com
-
Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. » Learn more
www.influxdata.com -
The Complete Guide To Web Scraping in Pythonproxiesapi.com
-
Learning rust as a python developerwww.youtube.com
-
Crimes with Python's Pattern Matchingwww.hillelwayne.com
-
Protestware vs. Corporate Greedtechcrunch.com
-
The modern identity platform for B2B SaaS
The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. » Learn more
workos.com -
Document Scanner with OpenCV Using Video Footagerubikscode.net
More from our sponsors
-
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
Trending packages and projects
-
TinyCheck allows you to easily capture network communications from a smartphone or any device which can be associated to a Wi-Fi access point in order to quickly analyze them. This can be used to check if any suspect or malicious communication is outgoing from a smartphone, by using heuristics or specific Indicators of Compromise (IoCs). In order to make it working, you need a computer with a Debian-like operating system and two Wi-Fi interfaces. The best choice is to use a Raspberry Pi (2+) a Wi-Fi dongle and a small touch screen. This tiny configuration (for less than $50) allows you to tap any Wi-Fi device, anywhere.
-
The Deepfake Offensive Toolkit
-
Investment Research for Everyone, Everywhere.
-
A community-supported supercharged version of paperless: scan, index and archive all your physical documents
-
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.