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sebastianraschka.com | ||
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nerderati.com
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| | | | | I primarily yell at code. Well, I look sternly in its general direction, gently urging it to do my bidding. | |
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www.ethanrosenthal.com
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| | | | | I make Python packages for everything. Big projects obviously get a package, but so does every tiny analysis. Spinning up a quick jupyter notebook to check something out? Build a package first. Oh yeah, and every package gets its own virtual environment. Let's back up a little bit so that I can tell you why I do this. After that, I'll show you how I do this. Notably, my workflow is set up to make it simple to stay consistent. | |
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janakiev.com
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| | | | | Are you working with Jupyter Notebook and Python? Do you also want to benefit from virtual environments? In this tutorial you will see how to do just that with Anaconda or Virtualenv/venv. | |
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www.integralist.co.uk
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| | | Memory Management Types of Profiling Tools Matrix Analysis Steps Base Example Timer Built-in module: timeit Built-in module: profiler Line Profiler Basic Memory Profiler Tracemalloc PyFlame (Flame Graphs) Conclusion Memory Management Before we dive into the techniques and tools available for profiling Python applications, we should first understand a little bit about its memory model as this can help us to understand what it is we're seeing in relation to memory consumption. | ||
