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  • U: Anonymous
  • D: 2018-07-31 20:38:36
  • C: APPS

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ReScene version pyReScene Auto 0.7 JGTiSO File size CRC
Download
24,292
Stored files
5,122 F778415D
825 7CD3C1FF
RAR-files
jgt-ptpada.rar 15,000,000 529C7152
jgt-ptpada.r00 15,000,000 A023FA6C
jgt-ptpada.r01 15,000,000 7359B2AB
jgt-ptpada.r02 15,000,000 E945C0AA
jgt-ptpada.r03 15,000,000 C5D7B5F6
jgt-ptpada.r04 15,000,000 CBB9F54B
jgt-ptpada.r05 15,000,000 8BEF5CEB
jgt-ptpada.r06 15,000,000 EA294ED3
jgt-ptpada.r07 15,000,000 32B8341C
jgt-ptpada.r08 15,000,000 F01B084B
jgt-ptpada.r09 15,000,000 46725842
jgt-ptpada.r10 15,000,000 BBAC6048
jgt-ptpada.r11 15,000,000 3569E3A6
jgt-ptpada.r12 15,000,000 24F1F5A2
jgt-ptpada.r13 15,000,000 596A5EF5
jgt-ptpada.r14 15,000,000 177E694F
jgt-ptpada.r15 15,000,000 46A6D7DE
jgt-ptpada.r16 15,000,000 73A6EF1C
jgt-ptpada.r17 15,000,000 126AB107
jgt-ptpada.r18 15,000,000 E3D713DD
jgt-ptpada.r19 15,000,000 D0B1D5F6
jgt-ptpada.r20 15,000,000 9882A0CB
jgt-ptpada.r21 15,000,000 A1609A11
jgt-ptpada.r22 15,000,000 53785E4C
jgt-ptpada.r23 15,000,000 C8EC10B8
jgt-ptpada.r24 15,000,000 04116EDC
jgt-ptpada.r25 15,000,000 09E2A192
jgt-ptpada.r26 15,000,000 44A3B86B
jgt-ptpada.r27 15,000,000 C0794D16
jgt-ptpada.r28 15,000,000 0EC92DF9
jgt-ptpada.r29 15,000,000 44008DB5
jgt-ptpada.r30 15,000,000 EE854A83
jgt-ptpada.r31 10,917,823 FA01C08E
Total size: 490,917,823
Archived files
Packt Troubleshooting Python Application Development\01.Locating Root Causes by Benchmarking and Profiling Your Application\0101.The Course Overview.mp4 [30e58d89d5c647c8] 11,034,178 3F2CE7F2
Packt Troubleshooting Python Application Development\01.Locating Root Causes by Benchmarking and Profiling Your Application\0102.Measuring Time Between Two Lines of Code with timeit.mp4 [b71873894779b9e1] 34,636,150 8D977961
Packt Troubleshooting Python Application Development\01.Locating Root Causes by Benchmarking and Profiling Your Application\0103.Figuring out Where Time Is Spent with the Profile Module.mp4 [fad7affe06caf108] 40,311,789 D5121172
Packt Troubleshooting Python Application Development\01.Locating Root Causes by Benchmarking and Profiling Your Application\0104.More Precise Time Tracking with cProfile.mp4 [6c7b2d6cd04cff9] 23,071,676 66C53135
Packt Troubleshooting Python Application Development\01.Locating Root Causes by Benchmarking and Profiling Your Application\0105.Looking at Memory Consumption with memory_profiler.mp4 [ee0ce6ae399af21a] 16,019,345 7AA3482F
Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0201.Reduce Execution Time and Memory Consumption with __slots__.mp4 [2e3a7aef81d06334] 19,594,377 36569665
Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0202.Use Tuples Instead of Lists When Your Data Does Not Change.mp4 [26fed1cf49aeca23] 70,463,924 893D90E0
Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0203.Save on Memory Consumption with Generators Instead of Lists.mp4 [5c6eb11e3cc9176d] 20,515,900 D12FA553
Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0204.When to Use Lists Instead of Generators.mp4 [65ee3f113779795a] 8,061,406 2F339E22
Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0205.Leveraging Itertools to Create Generator Pipelines.mp4 [9f9d62f837cfe872] 10,281,835 4F1DE3C4
Packt Troubleshooting Python Application Development\03.Tackling Long Running Loops on Big Lists with NumPy\0301.The Problem with Using Lists to Perform Vector Calculations.mp4 [1a00624697f289e3] 11,031,558 944D7D0B
Packt Troubleshooting Python Application Development\03.Tackling Long Running Loops on Big Lists with NumPy\0302.Using NumPy’s Arrays for More Powerful Vector Representations.mp4 [56a584fcc2a94b44] 9,141,237 5A973C61
Packt Troubleshooting Python Application Development\03.Tackling Long Running Loops on Big Lists with NumPy\0303.Rewriting Our Problem with NumPy to Speed It up 40x.mp4 [253d3426b28bf909] 7,596,654 078B2897
Packt Troubleshooting Python Application Development\03.Tackling Long Running Loops on Big Lists with NumPy\0304.Fast Map-Reduce with NumPy Broadcasting.mp4 [cc836c22ad335365] 12,452,299 082632A5
Packt Troubleshooting Python Application Development\03.Tackling Long Running Loops on Big Lists with NumPy\0305.Optimize All Calculations in One Go with numexpr.mp4 [87c07b05455d7337] 13,177,790 9D997262
Packt Troubleshooting Python Application Development\04.Speed up Your IO Heavy Tasks with Concurrent Programming\0401.The Problem of Serially Executing Web Scraping Calls.mp4 [6ce1a4e6999f86bc] 17,003,096 B49A0874
Packt Troubleshooting Python Application Development\04.Speed up Your IO Heavy Tasks with Concurrent Programming\0402.Simple Asynchronous Programming with Coroutines and Gevent.mp4 [cf2ac56540e5d2bf] 15,527,307 1958EE6C
Packt Troubleshooting Python Application Development\04.Speed up Your IO Heavy Tasks with Concurrent Programming\0403.Event Driven Concurrency with Tornado.mp4 [af789f3bdc36598b] 12,731,152 EC6109F4
Packt Troubleshooting Python Application Development\04.Speed up Your IO Heavy Tasks with Concurrent Programming\0404.Concurrency and Futures with asyncio.mp4 [8e6e5055c29c267c] 12,525,909 7EBD37FC
Packt Troubleshooting Python Application Development\05.Make Your Apps Run Faster with Parallel Programming\0501.Getting Started with Parallel Programming.mp4 [71b224f05d889877] 11,634,048 79F3C274
Packt Troubleshooting Python Application Development\05.Make Your Apps Run Faster with Parallel Programming\0502.Doubling the Speed of Your List Processing with Tuples.mp4 [1f160bf7713d0cf1] 65,205,206 0364ED39
Packt Troubleshooting Python Application Development\05.Make Your Apps Run Faster with Parallel Programming\0503.Easily Speed up a Group of Processes with Pool.mp4 [9e29df9d96d9b54b] 9,890,268 515FC010
Packt Troubleshooting Python Application Development\05.Make Your Apps Run Faster with Parallel Programming\0504.Stop Processes from Interfering with Each Other with Locks.mp4 [932370258c5ea7a4] 12,649,010 D86618BC
Packt Troubleshooting Python Application Development\05.Make Your Apps Run Faster with Parallel Programming\0505.Logging What Happens When You Have Many Processes.mp4 [ffc40f2c38508499] 21,431,826 C7F0E2CF
Packt Troubleshooting Python Application Development\Exercise Files\exercise_files.zip 49,673 6419B995
Packt Troubleshooting Python Application Development\01.Locating Root Causes by Benchmarking and Profiling Your Application 0 00000000
Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code 0 00000000
Packt Troubleshooting Python Application Development\03.Tackling Long Running Loops on Big Lists with NumPy 0 00000000
Packt Troubleshooting Python Application Development\04.Speed up Your IO Heavy Tasks with Concurrent Programming 0 00000000
Packt Troubleshooting Python Application Development\05.Make Your Apps Run Faster with Parallel Programming 0 00000000
Packt Troubleshooting Python Application Development\Exercise Files 0 00000000
Packt Troubleshooting Python Application Development 0 00000000
Total size: 486,037,613
RAR Recovery
Present (Protect+) 4,864,690
Labels APPS
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Execution time: 0.0118 - Memory usage: 0.6MB
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