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#Performance

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#Performance

Python Async HTTP Requests with aiohttp: Fetch Multiple URLs Concurrently

Python Async HTTP Requests with aiohttp: Fetch Multiple URLs Concurrently

Quick Tip Reuse one aiohttp session, fan your requests out with asyncio.gather, and cap them with a semaphore to fetch hundreds of URLs in the time one loop would take. The Problem **The

#Python#Aiohttp#Asyncio+3 tags
Python
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Redis Caching Patterns: Cache-Aside, Write-Through & Cache Invalidation

Redis Caching Patterns: Cache-Aside, Write-Through & Cache Invalidation

Need to scale your backend without throwing money at servers? Start with Redis caching patterns. Most databases can handle hundreds of queries per second, but thousands? Your app slows to a crawl

#Redis#Caching#Performance+6 tags
Python, Node.js and Go
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PostgreSQL Query Optimization: Indexes, EXPLAIN ANALYZE & Execution Plans

PostgreSQL Query Optimization: Indexes, EXPLAIN ANALYZE & Execution Plans

Need to optimize slow PostgreSQL queries? Use EXPLAIN ANALYZE and targeted indexing. Slow database queries kill application performance. Most developers don't know where the actual bottleneck is,

#PostgreSQL#QueryOptimization#Indexes+4 tags
SQL and Python
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Optimizing your python code with __slots__?

Optimizing your python code with __slots__?

Memory optimization with slots Understanding the problem Optimizing data models in big data workflows with slots In big data and MLOps workflows, you often work with massive

#Python#MemoryOptimization#DataScience+4 tags
Python
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