Profiling Tools
Profiling
While benchmarks and tracing can give you an overview and specific numbers for a given scope, profilers can help you analyze where those numbers came from. They are an essential tool if you need to ga...
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Unveiling Bottlenecks (Part 2): A Deep Dive into Profiling Tools
In our previous blog post, we introduced the concept of profiling for optimizing Shiny app performance. Today, we’ll take a deep dive into three powerful tools in this arsenal: reactlog, profvis and s...
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Choosing the type of profiler to use
There are two types of profilers available: instrumentation profilers and sampling ones. One of the better-known instrumentation profilers is Callgrind, part of the Valgrind suite. Instrumentation pro...
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Debugging and Profiling
Debugging and Profiling These libraries help you with Python development: the debugger enables you to step through code, analyze stack frames and set breakpoints etc., and the profilers run code and ...
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Continuous Profiling for Python Applications
In computer programming, the meaning of “profiling” is “finding and optimizing those resources that can decrease the response time, cache time, interruptions, and usage of individual instructions in…
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Profiling in Go
A brief guide to explain your app’s connection with your CPU or memory Photo by Kai Dahms on Unsplash What Is Profiling, and Why Is It Useful? Have you ever wanted to dig deeper for explanations as t...
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Chapter 27 - Code Profiling
Code profiling is an attempt to find bottlenecks in your code. Profiling is supposed to find what parts of your code take the longest. Once you know that, then you can look at those pieces of your co...
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The Python Profilers
The Python Profilers Source code: Lib/profile.py and Lib/pstats.py Introduction to the profilers cProfile and profile provide deterministic profiling of Python programs. A profile is a set of statist...
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Preparing the profiler and processing the results
When analyzing profiling results, you may often want to perform some preparation, cleanup, and processing. For instance, if your code mostly spends time spinning around, you might want to filter that ...
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YData Profiling: The New Standard for Data Profiling
YData Profiling is a new open-source data profiling tool that has quickly become the standard for data scientists and data analysts. It offers a wide range of features and benefits that make it the…
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Top Tools for Profiling Your Python Code and How to Use Them
Do you know how to Profile your Python code? Continue reading on Python in Plain English
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Beyond cProfile: 7 Python Profiling Tools That Reveal Hidden Bottlenecks
Discover powerful Python profilers like py-spy, memray, and scalene to uncover performance issues in production code. As a best-selling author, I invite you to explore my books on Amazon. Don’t forge...
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