265 Result(s)
within
English
Computer Science
Professional Computing
Yi** **
Video Segment
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Video Segment
Testing Asynchronous Code
This segment discusses how to effectively test your multi processing and multi processing code.
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Vendor Evaluation
There are over 70 RPA vendors on the market. So you need to find ways to narrow the list down and find those software applications that best fit your needs.
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Use modern Python
This segment compares modern versus older Python syntax.
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Focus your efforts using profiling
This segment shows you how to profile your code, to discover the areas which run most often and which take up most of running time, to help you focus your efforts.
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Race conditions
This segments shows how race conditions can give you unexpected results, and how Python’s GIL helps to prevent race conditions internally.
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Conclusion
This part finishes the video with a brief summary.
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Bot Development
This will be a short demo of how to create a simple bot. This will be done using the UiPath platform.
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Let Python do the work
This video segment shows you when letting Python do the work will speed up your code.
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Big O
The segment explains the big O notation and how to compare the order of magnitude of computations between different algorithms.
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Deadlocks and starvation
This segment shows you other pitfalls of using locks - deadlocks and starvation.
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Data
AI is becoming more important with RPA. But to be successful, you need to have a data preparation plan.
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Caching
This segments shows you a few different ways to avoid doing the same calculations multiple times.
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Returning values
In this segment you will learn how (not) to return values from a process, and the practical differences between multi threading and multi processing.
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Get lazy
This segment discusses the lazy loading pattern, allowing you to do as little as possible as late as possible.
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Queues
This segment shows how to use queues to safely distribute work amongst a pool of workers and to gather the results.
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Process and thread pools
This segments is a more in depth discussion of using worker pools to distribute work across threads or processes.
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RPA Skills
To understand RPA, you do not need to be technical. But you still need to understand some key technologies like cloud computing, OCR, low code, APIs, and AI. All these will be covered.
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Process Mining
Process mining uses machine learning to identify and optimize processes. Process mining has been gaining much traction over the past few years and is becoming more important to RPA.
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Writing Robust Code
This video segment gives you many tips on how to make your asynchronous code easier to maintain and less likely to fail.
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Planning
It’s tempting to just get started creating bots. But this usually leads to terrible results. Rather, you need to create a solid plan, which has a clear set of goals and timetables.
