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)....
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,...
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...
by Dhirendra Biswal | Aug 30, 2025 | Python
Metaprogramming in Python: A Deep Dive into Decorators, Metaclasses, and Dynamic Code Generation TL;DR: Metaprogramming in Python allows you to write code that manipulates, generates, or transforms other code at runtime. This guide covers decorators for function and...
by Dhirendra Biswal | Aug 30, 2025 | Python
TL;DR: Python’s type hinting system has evolved to include advanced features like generics, protocols, and structural subtyping. These tools help improve code clarity, enable better static analysis with tools like mypy, and support more flexible and reusable...
by Dhirendra Biswal | Aug 30, 2025 | Python
Python Memory Management Optimization Techniques for Large-Scale Data Processing TL;DR: Optimizing memory in Python for large-scale data processing involves using efficient data structures (like NumPy arrays), profiling memory usage with tools like pympler or...
