{"product_id":"memory-management-in-python-understanding-the-internals-comprehensive-understanding-of-how-python-manages-memory-enabling-you-to-write-more-efficie-9798288745973","title":"Memory Management in Python: Understanding the Internals: Comprehensive Understanding Of How Python Manages Memory, Enabling You To Write More Efficie","description":"\u003cp\u003e • Author(s): Pythquill Publishing\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou'll Learn\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eUnderstand fundamental memory concepts\u003c\/b\u003e: Gain a deep understanding of core memory concepts, including RAM, virtual memory, the stack, and the heap, and how these foundational principles relate to Python's execution environment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMaster CPython's automatic memory management\u003c\/b\u003e: Master CPython's core automatic memory management techniques: reference counting and the generational garbage collector, learning their internal mechanisms, advantages, and inherent limitations (such as handling circular references).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProficiently use the gc module\u003c\/b\u003e: Become proficient in using the gc module to interact with and debug Python's garbage collector, including enabling\/disabling it, forcing collections, and adjusting thresholds.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLeverage the weakref module\u003c\/b\u003e: Learn how to leverage the weakref module to manage object references without creating strong ties, making it invaluable for caching mechanisms and preventing unintended reference cycles.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eUnderstand CPython's specialized allocators\u003c\/b\u003e: Understand CPython's specialized memory allocators, particularly pymalloc, and how they optimize memory allocation for small Python objects, contrasting them with direct system allocator interactions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAnalyze built-in type memory footprint\u003c\/b\u003e: Analyze the memory footprint of Python's built-in data types (integers, strings, lists, dictionaries, etc.), understanding factors like object overhead, interning, and dynamic resizing strategies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOptimize custom classes with __slots__\u003c\/b\u003e: Optimize memory usage in your custom classes by effectively implementing __slots__, grasping its benefits for memory reduction and its trade-offs regarding flexibility and inheritance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAcquire memory profiling and debugging skills\u003c\/b\u003e: Acquire practical skills in memory profiling and debugging using Python's built-in tracemalloc module to trace allocations and gc module functions (like get_objects, get_referrers) to inspect live objects.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDevelop memory leak resolution strategies\u003c\/b\u003e: Develop systematic strategies for identifying, diagnosing, and resolving common memory leaks in Python applications, utilizing profiling tools and understanding typical leak patterns.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eImplement advanced memory optimization techniques\u003c\/b\u003e: Implement advanced memory optimization techniques, including choosing appropriate data structures for specific use cases, processing large datasets efficiently, and carefully managing caches.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eUnderstand CPython C API and extensions (advanced)\u003c\/b\u003e: (For advanced readers) Understand memory management within the Python C API and C extensions, including manual reference counting in C, and gain insights from key CPython source code files.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAppreciate diverse Python implementations' memory management\u003c\/b\u003e: Appreciate the diverse approaches to memory management in alternative Python implementations like Jython, IronPython, PyPy, and MicroPython, broadening your perspective beyond CPython.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFormulate and apply memory-efficient best practices\u003c\/b\u003e: Formulate and apply best practices for writing high-performance, memory-efficient, and robust Python code for various application domains.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47577060147351,"sku":"9798288745973","price":1463.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798288745973.webp?v=1774902453","url":"https:\/\/atlanticbooks.com\/products\/memory-management-in-python-understanding-the-internals-comprehensive-understanding-of-how-python-manages-memory-enabling-you-to-write-more-efficie-9798288745973","provider":"Atlantic Books","version":"1.0","type":"link"}