awesome-competitive-programming
magic-trace
awesome-competitive-programming | magic-trace | |
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13 | 29 | |
12,158 | 4,439 | |
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0.0 | 6.8 | |
11 days ago | 8 days ago | |
OCaml | ||
Creative Commons Attribution 4.0 | MIT License |
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awesome-competitive-programming
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I am SO done WitH LeEtcOdING
There are a bunch of good free resources here but they’re are a lot less digestible https://github.com/lnishan/awesome-competitive-programming
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I would like to be able to solve Competitive Programming problems. What are the resources for this?
I suggest you look at this very comprehensive and awesome list: https://codeforces.com/blog/entry/23054
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Resources to get started with competitive programming?
Awesome Competitive Programming
- A curated list of Competitive Programming resources
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How to break into Hudson River Trading?
First, make a codeforces account and then refer to this resource list as you continue to solve problems.
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Competitive Coding - A starters guide.
Start your competitive coding journey from Algorithms, Competitive Coding to Data Structure resources, everything in one awesome repository. Check it OUT!
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What's do I need to learn for competitive programming (specifically the CCC) and whats the best way to learn it?
You need more than logic and practice. These contests are not just intelligence tests. They also test knowledge of certain algorithms, techniques, and mathematical skills. My suggestion would be to pick a problem from that contest and spend some time trying to solve it (no more than an hour or two even for harder problems). Then whether or not you solve it yourself, read an editorial or someone else's solution. Make a note of any concepts you're not familiar with, and read up on them. You should be able to find everything you need online, but https://github.com/lnishan/awesome-competitive-programming has other sources including books. Then solve the problem again and make sure you understand it. Once you do this enough times, you'll cover all the topics that are likely to come up in that contest.
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Good books or tutorials for competitive programming?
Take a look at the Awesome Competitive Programming list on GitHub. All the standard references are there.
- How long does it take to be able to churn out solutions to Google kickstart problems within time limit?
magic-trace
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When Optimising Code, Measure
I really like magic-trace [0].
https://github.com/janestreet/magic-trace
Not that the exact tracing relies on Intel PT - support for AMD was added recently but uses perf so suffers from the same sampling/skew issues, but is still very useful.
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Grafana Phlare, open source database for continuous profiling at scale
Would love to see this integrate with magic trace [1]. I'll need to look at the code for the flamegraph plugin, because handling nanosecond timestamps in flamegraphs seems to break most tools due to float precision.
(1) https://github.com/janestreet/magic-trace
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How to break into Hudson River Trading?
As for inner workings, have you looked into magic trace? I want to play around with it but last I checked, it doesn't work on macs.
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Brendan Intel.com
I really hope he can work with cloud vendors and Intel to make Processor Trace a more popular and easier to use capability.
It's unfortunate how https://github.com/janestreet/magic-trace and PMUs in general can't be used by lots of people using cloud VMs.
- GitHub - janestreet/magic-trace: magic-trace collects and displays high-resolution traces of what a process is doing
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Hacker News top posts: Apr 23, 2022
Magic-trace – High-resolution traces of what a process is doing\ (133 comments)
- Magic-trace – High-resolution traces of what a process is doing
- Magic-trace - 高分辨率跟踪一个进程正在做什么 (Magic-trace – High-resolution traces of what a process is doing)
What are some alternatives?
github-cheat-sheet - A list of cool features of Git and GitHub.
viztracer - VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
awesome-for-beginners - A list of awesome beginners-friendly projects.
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
awesome-nodejs - :zap: Delightful Node.js packages and resources
perfetto - Frontend for magic-trace; forks https://ui.perfetto.dev
javascript-algorithms - 📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
linux - Linux kernel source tree
awesome-interview-questions - :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
memray - Memray is a memory profiler for Python
tracy - Frame profiler