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  • U: Anonymous
  • D: 2019-06-26 11:45:18
  • C: APPS

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ReScene version pyReScene Auto 0.7 JGTiSO File size CRC
Download
16,693
Stored files
5,110 ECFE9B22
480 8B9B144C
RAR-files
jgt-9781788474375.rar 15,000,000 FC5A2009
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jgt-9781788474375.r13 2,595,706 1ED53DFE

Total size: 212,595,706
Archived files
Packt Getting Productive with Modern Python\01.Save Your Work Over Time with Simple Databases\0101.The Course Overview.mp4 [eddcaa3068495624] 18,846,816 49C50AFA
Packt Getting Productive with Modern Python\01.Save Your Work Over Time with Simple Databases\0102.Creating In-Memory and Flat File Databases with SQLite.mp4 [6e73260f41be1856] 9,138,559 C2B1FDB1
Packt Getting Productive with Modern Python\01.Save Your Work Over Time with Simple Databases\0103.Parse Unstructured Data from www with Requests and Feedparser.mp4 [24caaed360a0be93] 10,052,291 959DD84D
Packt Getting Productive with Modern Python\01.Save Your Work Over Time with Simple Databases\0104.Persist Data and State with JSON Files and Pickling.mp4 [db471deaf86e52b6] 7,083,573 785B9578
Packt Getting Productive with Modern Python\02.Writing Cleaner Code with Advanced Comprehensions and Containers\0201.Creating Complex Lists in One Line with Comprehensions.mp4 [945a8b319831244b] 7,366,047 378A2C63
Packt Getting Productive with Modern Python\02.Writing Cleaner Code with Advanced Comprehensions and Containers\0202.Quick Summary Statistics with collections.counter.mp4 [d78120ce68f0d487] 8,610,782 A66AED3E
Packt Getting Productive with Modern Python\02.Writing Cleaner Code with Advanced Comprehensions and Containers\0203.Power Up Your Dictionaries with One Line Merges and Defaultdicts.mp4 [a3e627b254e02da0] 6,839,043 9150E722
Packt Getting Productive with Modern Python\03.Figuring Out Why Your Program Is Slow with Timeit and Profile\0301.Measuring Time Between Two Lines of Code with Timeit.mp4 [4b40c65f6a2e36d4] 8,885,016 BBEDED00
Packt Getting Productive with Modern Python\03.Figuring Out Why Your Program Is Slow with Timeit and Profile\0302.Figuring Out Where Time Is Spent with the Profile Module.mp4 [7893996f6198ddc] 9,611,741 6AD1DAE5
Packt Getting Productive with Modern Python\03.Figuring Out Why Your Program Is Slow with Timeit and Profile\0303.Looking at Memory Consumption with Memory_profiler.mp4 [707f4509cffc5a16] 5,983,860 BC0EDB75
Packt Getting Productive with Modern Python\04.Do Not Wait Around for IO with Concurrent Programming\0401.Simple Concurrent Programming with gevent.mp4 [469f202a9f232402] 7,961,304 D62BC876
Packt Getting Productive with Modern Python\04.Do Not Wait Around for IO with Concurrent Programming\0402.IOLoop Driven Concurrency with Tornado.mp4 [a3c1d9c87e9d705e] 3,951,241 3D0D8CB5
Packt Getting Productive with Modern Python\04.Do Not Wait Around for IO with Concurrent Programming\0403.Native Python Concurrency with Asyncio.mp4 [62c6507444140942] 12,012,504 60A39C24
Packt Getting Productive with Modern Python\05.Do Multiple Things at Once with Parallel Programming\0501.Easily Speed Up a Group of Processes with Pool.mp4 [8a3456c6ebf04d1e] 5,558,441 1D7C7D6A
Packt Getting Productive with Modern Python\05.Do Multiple Things at Once with Parallel Programming\0502.Stop Processes from Interfering with Each Other with Locks.mp4 [37eaba0039648fe1] 8,955,905 242C987F
Packt Getting Productive with Modern Python\05.Do Multiple Things at Once with Parallel Programming\0503.Logging What Happens When You Have Many Processes.mp4 [8e018331de946556] 4,825,957 BEBB139A
Packt Getting Productive with Modern Python\06.Creating Reusable Applications from Your Python Scripts\0601.Create Command Line Interfaces (CLIs) with plac.mp4 [ea40ad2e95739345] 14,384,349 6ECF983F
Packt Getting Productive with Modern Python\06.Creating Reusable Applications from Your Python Scripts\0602.Manage Dependencies and Packages with Pipenv.mp4 [500a934745078a92] 7,208,697 059355E2
Packt Getting Productive with Modern Python\06.Creating Reusable Applications from Your Python Scripts\0603.Refactor and Tidy Up Code with PyCharm and Black.mp4 [fb167a544bd2cf07] 53,158,379 8B7E733A
Packt Getting Productive with Modern Python\Exercise Files\exercise_files.zip 44,335 43F6E7FD
Packt Getting Productive with Modern Python\01.Save Your Work Over Time with Simple Databases 0 00000000
Packt Getting Productive with Modern Python\02.Writing Cleaner Code with Advanced Comprehensions and Containers 0 00000000
Packt Getting Productive with Modern Python\03.Figuring Out Why Your Program Is Slow with Timeit and Profile 0 00000000
Packt Getting Productive with Modern Python\04.Do Not Wait Around for IO with Concurrent Programming 0 00000000
Packt Getting Productive with Modern Python\05.Do Multiple Things at Once with Parallel Programming 0 00000000
Packt Getting Productive with Modern Python\06.Creating Reusable Applications from Your Python Scripts 0 00000000
Packt Getting Productive with Modern Python\Exercise Files 0 00000000
Packt Getting Productive with Modern Python 0 00000000

Total size: 210,478,840
RAR Recovery
Present (Protect+) 2,107,862
Labels APPS