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News & links about Python programming.
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Geospatial Data in your Graph

In this stream we explore some techniques for working with geospatial data in Neo4j. We will cover some basic spatial Cypher functions, spatial search, routing algorithms, and different methods of importing geospatial data into Neo4j.

https://www.youtube.com/watch?v=djMsdSxvd2E
Building Real-time Machine Learning Foundations at Lyft

The article highlights Lyft's efforts in developing real-time machine learning foundations to enhance their platform's performance and user experience. It explores the challenges faced and the strategies employed to build scalable and reliable machine learning systems within the context of a ride-sharing company.

https://eng.lyft.com/building-real-time-machine-learning-foundations-at-lyft-6dd99b385a4e
When NumPy is too slow

What do you do when your NumPy code isn’t fast enough? We’ll discuss the options, from Numba to JAX to manual optimizations.

https://pythonspeed.com/articles/numpy-is-slow/
Automating Python code quality

The article emphasizes the importance of code quality in Python software development, discussing various aspects such as style consistency, code readability, testing, and documentation. It provides practical tips and best practices to improve code quality and maintainability, ultimately enhancing the overall software development process.

https://blog.fidelramos.net/software/python-code-quality
Django security releases issued: 4.2.3, 4.1.10, and 3.2.20

In accordance with our security release policy, the Django team
is issuing
Django 4.2.3,
Django ...

https://www.djangoproject.com/weblog/2023/jul/03/security-releases/