@Wallpaper_INT · Post #46853 · 07/15/2025, 06:30 PM
#Cubes#Pattern#Text#Motivation#8K @Wallpaper_INT
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Source channel @githubtrending · Post #14828 · Jun 16
#python#python#redis#redis_client#redis_cluster#redis_py Redis-py lets you connect your Python programs to Redis, a fast in-memory database, making it easy to store and retrieve data quickly. You can install it with a simple command, and it works with the latest Redis versions. It supports advanced features like connection pools, pipelines for faster operations, and pub/sub for real-time messaging. Using Redis with Python helps your applications run faster, handle more users, and process data in real time, all while reducing the load on your main database[1][3][5]. https://github.com/redis/redis-py
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@Wallpaper_INT · Post #46853 · 07/15/2025, 06:30 PM
#Cubes#Pattern#Text#Motivation#8K @Wallpaper_INT
@Wallpaper_INT · Post #46546 · 06/10/2025, 07:30 AM
#Cubes#Volume#Colorful#Bright#8K @Wallpaper_INT
@djangoproject · Post #352 · 06/25/2017, 08:57 AM
https://stxnext.com/blog/2017/04/12/most-popular-python-scientific-libraries/ The most popular Python scientific libraries: #Astropy #Biopython #Cubes #DEAP #SCOOP #PsychoPy #Pandas #Mlpy #matplotlib #NumPy #NetworkX #TomoPy #Theano #SymPy #SciPy #scikit_learn #scikit_image #ScientificPython #SageMath #Veusz #graph_tool #SunPy #Bokeh