Profiling Tools - Learn Data Science with Travis

Profiling-Tools

Profiling tools are essential utilities in software development that help developers analyze the performance of their applications. By measuring various metrics such as execution time, memory usage, and function call frequency, these tools identify bottlenecks and inefficiencies in code. Profiling enables developers to optimize their applications, leading to improved performance and resource utilization. Different profiling tools cater to various programming languages and environments, offering features like line-by-line analysis or real-time monitoring. Understanding and utilizing profiling tools is crucial for creating efficient, high-performing software applications in today’s competitive landscape.

Profiling

Software Architecture with C plus plus

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...

Unveiling Bottlenecks (Part 2): A Deep Dive into Profiling Tools

R-bloggers

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...

Choosing the type of profiler to use

Software Architecture with C plus plus

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...

Debugging and Profiling

The Python Standard Library

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 ...

Continuous Profiling for Python Applications

Level Up Coding

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…

Profiling in Go

Better Programming

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...

Chapter 27 - Code Profiling

Python 101

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...

The Python Profilers

The Python Standard Library

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...

YData Profiling: The New Standard for Data Profiling

Python in Plain English

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…

Top Tools for Profiling Your Python Code and How to Use Them

Python in Plain English

Do you know how to Profile your Python code? Continue reading on Python in Plain English

Data Scientists, Start Using Profilers

Towards Data Science

A profiler can show you exactly which parts are taking the most time, allowing you to see which sections to spend time optimizing to speed up your code.

-XXcallProfiling

Essential Java

This option enables the use of call profiling for code optimizations. Profiling records useful runtime statistics specific to the application and can—in many cases—increase performance because JVM can...