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[TalkPython] Python Memory Management and Tips (2021) [En]

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种子名称: [TalkPython] Python Memory Management and Tips (2021) [En]
文件类型: 视频
文件数目: 97个文件
文件大小: 3.21 GB
收录时间: 2023-3-5 17:28
已经下载: 3
资源热度: 172
最近下载: 2024-12-17 09:01

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[TalkPython] Python Memory Management and Tips (2021) [En].torrent
  • 01 Welcome to the course/01-welcome.mp421.32MB
  • 01 Welcome to the course/02-why-care-about-memory.mp45.98MB
  • 01 Welcome to the course/03-smaller-and-faster.mp423.33MB
  • 01 Welcome to the course/04-topics-covered.mp48.38MB
  • 01 Welcome to the course/05-student-expectations.mp41.77MB
  • 01 Welcome to the course/06-meeting-your-instructor.mp48.97MB
  • 02 Setup and tools/01-youll-need-python3.mp420.87MB
  • 02 Setup and tools/02-editor.mp414.42MB
  • 02 Setup and tools/03-get-the-source.mp48.89MB
  • 03 Python variables and memory/01-python-equal-cpython.mp47.01MB
  • 03 Python variables and memory/02-lets-talk-pointers.mp413.92MB
  • 03 Python variables and memory/03-passing-values-in-c.mp44.89MB
  • 03 Python variables and memory/04-does-python-have-pointers.mp416.65MB
  • 03 Python variables and memory/05-pass-by-value.mp45.65MB
  • 03 Python variables and memory/06-red-pill-blue-pill.mp434.26MB
  • 03 Python variables and memory/07-cpython-long-source.mp493.05MB
  • 03 Python variables and memory/08-the-id-function.mp46.23MB
  • 03 Python variables and memory/09-loading-the-sample-code.mp433.3MB
  • 03 Python variables and memory/10-demo-size-of-objects.mp498.74MB
  • 03 Python variables and memory/11-demo-real-size-of-objects.mp458.66MB
  • 03 Python variables and memory/12-concept-flyweight-pattern.mp48.78MB
  • 03 Python variables and memory/13-demo-flyweight-numbers.mp465.6MB
  • 03 Python variables and memory/14-cpython-source-book.mp46.55MB
  • 04 Allocating memory in Python/01-allocation-intro.mp46.22MB
  • 04 Allocating memory in Python/02-allocation-in-action.mp417.66MB
  • 04 Allocating memory in Python/03-big-objects-may-be-many-small-ones.mp46.58MB
  • 04 Allocating memory in Python/04-small-object-allocation-intro.mp413.88MB
  • 04 Allocating memory in Python/05-allocation-blocks.mp48.93MB
  • 04 Allocating memory in Python/06-allocation-pools.mp48.39MB
  • 04 Allocating memory in Python/07-demo-pools-in-source.mp481.35MB
  • 04 Allocating memory in Python/08-allocation-areas.mp43.99MB
  • 04 Allocating memory in Python/09-demo-allocator-stats.mp4139MB
  • 05 Recovering memory in Python/01-ref-counting.mp415.83MB
  • 05 Recovering memory in Python/02-demo-reference-counting.mp4101.22MB
  • 05 Recovering memory in Python/03-when-reference-counting-breaks.mp439.03MB
  • 05 Recovering memory in Python/04-demo-gc.mp473.93MB
  • 05 Recovering memory in Python/05-demo-gc-no-containers.mp451.05MB
  • 05 Recovering memory in Python/06-pythons-generational-garbage-collector.mp49.04MB
  • 05 Recovering memory in Python/07-when-does-the-gc-run.mp419.21MB
  • 05 Recovering memory in Python/08-do-you-need-the-gc.mp457.27MB
  • 05 Recovering memory in Python/09-refcounting-and-the-gil.mp414.62MB
  • 06 Efficient data structures/01-data-struct-chapter-intro.mp425.86MB
  • 06 Efficient data structures/02-what-we-arent-covering.mp42.7MB
  • 06 Efficient data structures/03-disabling-the-gc-revisited.mp411.02MB
  • 06 Efficient data structures/04-demo-data-with-cycles.mp469.98MB
  • 06 Efficient data structures/05-demo-cycle-busting-part1.mp436.94MB
  • 06 Efficient data structures/06-demo-cycle-busting-with-friend-map.mp480.42MB
  • 06 Efficient data structures/07-demo-checking-friends-in-the-friend-map.mp4118.66MB
  • 06 Efficient data structures/08-different-container-types.mp425.09MB
  • 06 Efficient data structures/09-demo-container-sizes-starter.mp467.48MB
  • 06 Efficient data structures/10-demo-container-sizes-lists.mp427.41MB
  • 06 Efficient data structures/11-demo-container-sizes-classes.mp453.64MB
  • 06 Efficient data structures/12-demo-container-sizes-arrays.mp449.58MB
  • 06 Efficient data structures/13-demo-container-sizes-pandas.mp441.48MB
  • 06 Efficient data structures/14-demo-container-sizes-numpy.mp434.01MB
  • 06 Efficient data structures/15-monitoring-mem-usages-for-current-process.mp415.18MB
  • 07 Memory and functions/01-function-intro.mp43.77MB
  • 07 Memory and functions/02-demo-functions-cliing-to-memory.mp430.05MB
  • 07 Memory and functions/03-demo-implementing-the-pipeline-functions.mp440.3MB
  • 07 Memory and functions/04-demo-tracking-mem-usage.mp457.83MB
  • 07 Memory and functions/05-demo-a-mem-improvement.mp483.94MB
  • 07 Memory and functions/06-concept-drop-intermediate-data.mp48.95MB
  • 07 Memory and functions/07-converting-the-pipeline-to-generators.mp4160.9MB
  • 07 Memory and functions/08-concept-generators.mp49MB
  • 07 Memory and functions/09-demo-useful-closers.mp468.58MB
  • 07 Memory and functions/10-counting-with-closures.mp451.78MB
  • 07 Memory and functions/11-concept-closure-state.mp45.31MB
  • 08 Memory and classes/01-classes-and-memory-introduction.mp44.95MB
  • 08 Memory and classes/02-plain-ol-properties.mp4104.4MB
  • 08 Memory and classes/03-100_000-is-a-crowd.mp428.97MB
  • 08 Memory and classes/04-demo-testing-crowd-size.mp437.41MB
  • 08 Memory and classes/05-delayed-fields-with-props.mp471.79MB
  • 08 Memory and classes/06-concept-properties.mp44.35MB
  • 08 Memory and classes/07-demo-where-classes-store-memory.mp4104.25MB
  • 08 Memory and classes/08-concept-class-dicts.mp47.46MB
  • 08 Memory and classes/09-demo-people-with-slots.mp488.82MB
  • 08 Memory and classes/10-concept-slots.mp47.98MB
  • 08 Memory and classes/11-demo-slots-are-faster-too.mp462.25MB
  • 09 Investigating memory usage/01-profiling-intro.mp48.45MB
  • 09 Investigating memory usage/02-profiling-in-pycharm.mp444.41MB
  • 09 Investigating memory usage/03-a-memory-profiler.mp436.87MB
  • 09 Investigating memory usage/04-line-level-mem-profiling.mp434.67MB
  • 09 Investigating memory usage/05-concept-line-by-line-with-memory_profiler.mp43.92MB
  • 09 Investigating memory usage/06-graphing-memory-over-time.mp432.05MB
  • 09 Investigating memory usage/07-concept-graphing-with-memory_profiler.mp42.44MB
  • 09 Investigating memory usage/08-a-data-science-focused-profiler.mp411.49MB
  • 09 Investigating memory usage/09-profiling-with-fil.mp439.74MB
  • 10 Course conclusion and review/01-finish-line.mp417.48MB
  • 10 Course conclusion and review/02-red-pill-aka-pointers.mp410.91MB
  • 10 Course conclusion and review/03-allocating-memory.mp47.62MB
  • 10 Course conclusion and review/04-reference-counting.mp46.39MB
  • 10 Course conclusion and review/05-garabage-collection.mp443.43MB
  • 10 Course conclusion and review/06-container-types.mp412.88MB
  • 10 Course conclusion and review/07-memory-and-functions.mp410.44MB
  • 10 Course conclusion and review/08-classes.mp412.76MB
  • 10 Course conclusion and review/09-profiling.mp47.82MB
  • 10 Course conclusion and review/10-bye-and-thanks.mp44.99MB