articles
Toolz
| articles | Toolz | |
|---|---|---|
| 14 | 23 | |
| 1,571 | 4,521 | |
| - | 0.6% | |
| 7.1 | 3.9 | |
| about 1 month ago | 10 days ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
articles
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Internals of the async/await pattern from first principles
Thanks for the feedback! My code snippets in the article don't use any real/existing language. C# for example, is quite explicit with the transformation of generated to state machines, but also does not provide such methods, as far as I know. I've just added a comment explaining this choice: https://github.com/Dobiasd/articles/commit/f44b897f2a4d20aa9...
- Flagged activities that are legit!
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How Strava could drastically improve the timing accuracy for segment efforts
I did not decide to write 33, this time comes from Strava. I just improved this part of the article to make it more obvious, which times need to be compared. So the time of user A changed from 33 s (Strava leaderboard) to 37.8 s (accurate measurement), which is a difference of 4.8 s.
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Keyboard Lets People Type So Fast It’s Banned from Typing Competitions
> 1. It allows for minimal disruption to thinking process, close to 90% of the time even when coding is not actively typing, but when typing is subconscious and fast it removes the potential of where it interrupts the thinking process.
I agree, and even wrote an article about that a few years ago. :-)
https://github.com/Dobiasd/articles/blob/master/how_touch_ty...
- Fixing under-engineered code vs. fixing over-engineered code
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Vim is actually worth it
It's not just about reducing the 1% to maybe 0.5%. It can have other advantages too. :)
- How I got rid of the crosstalk in my headset
Toolz
- Ask HN: How can I get better at writing production-level Python?
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[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
My favourite lib would probably be toolz, it's just so elegant and fun to use. But it's more functional approach is not always the best fit for the time, so in practice I mostly use it in research, prototyping, console and notebooks.
- REBL
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What are the best ways to learn Python and Pyspark for ML engineering?
I am not new to Python but only used it to write scripts. Should I start a Python book and then a PySpark book or go directly to PySpark? When reading the legacy code, I found there are usages like GitHub - pytoolz/toolz: A functional standard library for Python. I never heard of.
- Toolz: A Functional Standard Library For Python
- Functional python for data process
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Top python libraries/ frameworks that you suggest every one
toolz is wildly useful https://github.com/pytoolz/toolz
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Show HN: Koda, a Typesafe Functional Toolkit for Python
Maybe the toolz[0] family would cover your use cases? There is also a Cython implementation if you need better performance.
[0] https://github.com/pytoolz/toolz/
- What're the cleanest, most beautifully written projects in Github that are worth studying the code?
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Functional programming beyond itertools
You'll probably enjoy toolz.
What are some alternatives?
copilot.vim - Neovim plugin for GitHub Copilot
funcy - A fancy and practical functional tools
PapersCited - List all unique citations in your document
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
article_projects - The project files of the articles on my blog.
CyToolz - Cython implementation of Toolz: High performance functional utilities
rockettype - A windows keylooger to track typing statistics like WPM
Pyrsistent - Persistent/Immutable/Functional data structures for Python
Library - Simple tool for paper management
Coconut - Simple, elegant, Pythonic functional programming.
returns - Make your functions return something meaningful, typed, and safe!
effect - effect isolation in Python, to facilitate more purely functional code