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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
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Packt Troubleshooting Python Application Development\01.Locating Root Causes by Benchmarking and Profiling Your Application\0104.More Precise Time Tracking with cProfile.mp4
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Packt Troubleshooting Python Application Development\01.Locating Root Causes by Benchmarking and Profiling Your Application\0105.Looking at Memory Consumption with memory_profiler.mp4
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Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0201.Reduce Execution Time and Memory Consumption with __slots__.mp4
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Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0202.Use Tuples Instead of Lists When Your Data Does Not Change.mp4
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Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0203.Save on Memory Consumption with Generators Instead of Lists.mp4
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Packt Troubleshooting Python Application Development\02.Python Idioms for Faster Code\0205.Leveraging Itertools to Create Generator Pipelines.mp4
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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
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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
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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
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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
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Packt Troubleshooting Python Application Development\04.Speed up Your IO Heavy Tasks with Concurrent Programming\0402.Simple Asynchronous Programming with Coroutines and Gevent.mp4
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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
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