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You can’t improve what you don’t measure. Before you Google for a third-party library, check the standard one. Python comes with tons of built-in functionality that most devs never use. # With processes, you should see close to n_threads times speedup on a multi-core system # You’ll notice there’s barely any speedup, maybe even slower with threads! If your program is mostly I/O-bound — reading files, hitting APIs, talking to databases https://uvik.io/ — the GIL isn’t much of a problem.
This is really different kind of experience through a interview process, where I like the journey and the motive of this screening process. It is strongly related to the job role and efficient for the talent acquisition team to know more about me. This was a great platform to give the exam and was pretty easy to use for me, even as a newbie to this platform. Senior product analytics candidate for leading Australian tech company It was also great to see how some of the knowledge I gained from university can be applied to real-life scenarios and business problems.
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You can also create class-based context managers. They set things up when you need them and clean up when you’re done — no matter what happens in between. Context managers are one of those Python features that make you go „wow“ once you really get them. Logging stuff, check permissions, modify outputs — literally anything. Python uses a pool allocator for small objects to improve performance and reduce fragmentation.
- Understand DTS power cable monitoring, cable hotspot detection and temperature analytics for energy infrastructure and high-voltage cables.
- Python contains the weakref module that creates a weak reference to an object.
- The cyclic garbage collector, utilizing a technique called ‘graph traversal,’ identifies these cycles.
- Healthcheck is a library to write simple healthcheck functions that can be used to monitor your application.
- Return a new partial object which when called will behave like func called with the positional arguments args and keyword arguments keywords.
Xobin provides the world’s most comprehensive talent assessment platform with a vast library of 180,000+ tech and non-tech questions for every role, domain, and industry. Our online assessments ensure you only hire candidates who can solve real-world challenges, contribute from Day 1, and scale with your vision. For example, noting that you improved application performance by 30% or that you reduced bug count by 25% adds tangible evidence of your results-driven approach. You could mention the size of the teams you have led, the number of projects you have managed, or the speed improvements you have achieved in code execution.
🔍 How do you ensure your code is maintainable and scalable?
Python’s garbage collection mechanism is akin to having a diligent janitor who ensures the memory space is tidy and clutter-free. We opted for a multiprocessing approach, dividing the workload among multiple processes to leverage the full power of available CPU cores. In a data processing application, we had to deal with a large dataset that required parallel processing. In the realm of CPU-bound tasks, where the focus is on heavy computation, the GIL can be a bit of a bottleneck.