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Python Async IO Patterns: Event Loop Management & Non-Blocking Network Programming

Python Async IO Patterns: Event Loop Management & Non-Blocking Network Programming

by Dhirendra Biswal | Aug 31, 2025 | Blog, Kali, Python

Python Async IO Patterns: Event Loop Management & Non-Blocking Network Programming As a developer who has built scalable network applications, I’ve found Python’s asyncio to be a game-changer for handling I/O-bound workloads efficiently. In this guide, I’ll walk...
Python Database Optimization: SQLAlchemy ORM Tuning vs. Raw SQL Performance

Python Database Optimization: SQLAlchemy ORM Tuning vs. Raw SQL Performance

by Dhirendra Biswal | Aug 31, 2025 | Blog, Kali, Python

Python Database Optimization: SQLAlchemy ORM Tuning vs. Raw SQL Performance TL;DR: Optimizing database performance in Python often involves balancing SQLAlchemy ORM convenience with raw SQL speed. Use ORM for rapid development and maintainability, but switch to raw...
Python Functional Programming: Higher-Order Functions and Immutable Data Structures Explained

Python Functional Programming: Higher-Order Functions and Immutable Data Structures Explained

by Dhirendra Biswal | Aug 31, 2025 | Blog, Kali, Python

Python Functional Programming: Higher-Order Functions and Immutable Data Structures TL;DR: Python supports functional programming (FP) paradigms through higher-order functions (like map, filter, and reduce) and immutable data structures (like tuples and frozenset)....
How I Use Cython for Python Performance: C Extensions and Memory Views Explained

How I Use Cython for Python Performance: C Extensions and Memory Views Explained

by Dhirendra Biswal | Aug 31, 2025 | Python

How I Use Cython for Python Performance: C Extensions and Memory Views Explained TL;DR: Cython is a powerful tool that compiles Python-like code into efficient C extensions, drastically improving performance. By adding type annotations and using typed memory views,...
Python Garbage Collection Tuning for Real-Time Applications: Reference Counting and Cycle Detection

Python Garbage Collection Tuning for Real-Time Applications: Reference Counting and Cycle Detection

by Dhirendra Biswal | Aug 31, 2025 | Python

Python Garbage Collection Tuning for Real-Time Applications TL;DR: Python uses reference counting and generational garbage collection with cycle detection. For real-time applications, tuning garbage collection can reduce latency and improve performance. Key strategies...
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Recent Posts

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  • Python Context Managers and Async Context Managers: A Complete Guide to Resource and Exception Handling
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