ebook-reader-dict
poly
ebook-reader-dict | poly | |
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23 | 24 | |
310 | 649 | |
- | 1.1% | |
9.7 | 8.1 | |
4 days ago | 4 days ago | |
Python | Go | |
MIT License | MIT License |
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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.
ebook-reader-dict
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How to convert Kobo dictionaries to Kindle supported format (FR-FR specifically), for side loading into the latter?
I just stumbled across Kobo dictionaries, but none in a format which could be imported into Calibre, for further upload to Kindle. Copying the actual files or directories obtained by extraction of one of the Kobo dictionaries, into the documents directories of Kindle (as I've done to Littré and Roberts, to make them avail in the dictionary settings of Kindle) leads nowhere, either, so I am pretty much stuck.
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[StarDict files with direct inflections lookup] Your help is needed!
I just had a look at a .dict from ebook-reader-dict (where the content comes from Wiktionary too, and they seem to deal with inflections too); "unfortunately" they seem to use .syn file too to store the inflections, so the behavior with the default dictionary app is similar... About further coding, I'll play with their code1 this week to check how the converting/compiling is done (who knows, maybe I/we can help there? :) ). So their is hope for a relatively quick solution :)
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StarDict files with direct inflections lookup are slowly getting available!
One can also access the whole content of Wikipedia -and a looot more- offline, thank to among others the project "Kiwix" (Wiktionaries can be found here, other readings are available also to download trough the app, and finally, you can always "ZIM it", if you don't find what you want in the lists). Kiwix doesn't have to be used in a "stand-alone" fashion, as you can access it within the pop-up window in NeoReader as shown in the 3rd pic (working on firmware 3.3.1 too). At last but not least, another offline solution based on Wiki AND in the StarDict format is the "e-book-reader-dict" project (thank to cerank for sharing it! I have to admit I didn't find it by myself before starting this...)
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Dictionaries
I use a stardict version of Wiktionary I have found on Github (others languages are available like French, German, ...)
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Just bought Kobo Libra 2 and am having a bit of buyers remorse; need some general advice regarding e-readers - this is my very first
I have no experience with studying/reading German books on a Kobo, so I cannot comment on that. However, the Kobo dictionaries are generally not very good for languages with a lot of inflection such as Spanish, Russian, etc. It seems there is a good French dictionary for it (but I don't read French either, so I cannot confirm): https://github.com/BoboTiG/ebook-reader-dict. (They also have a German dictionary that should support conjugated forms - check it out!)
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Extracting Nickel dictionaries for use in Koreader? ( repost from r/Kobo)
You could look at https://github.com/BoboTiG/ebook-reader-dict
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Where to get dictionaries for Plato reader?
Wiktionary
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Help me installing a dictionary on my KOReader on Kobo
I am trying to install these dictionaries using this guide.
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How do I add a custom dictionary to Kobo Elipsa?
I have not heard of the .dic format. Just check this link: https://github.com/BoboTiG/ebook-reader-dict You just need to download a zip file and copy it where you already tried to copy your other file.
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where can i get 3rd party updated Spanish dictionaries
Here are other Spanish dictionaries: https://github.com/BoboTiG/ebook-reader-dict/releases/tag/es
poly
- Looking for an Open Source project to participate in for Google Summer of Code
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GitHub Accelerator: our first cohort and what's next
- https://github.com/TimothyStiles/poly: Poly is a fast, well tested Go package for engineering organisms.
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These 20 startups are in 1st ever batch of GitHub OS Accelerator
Poly: Fast Go package for engineering organisms
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Ask HN: Burnt out from big tech. What's next?
You might want to look at computational biology. Jim Allison won the Nobel Prize back in 2018 for his work on immunotherapy for cancer and there's a lot of basic research work to be done to perfect this approach. Epigenetic clocks are really interesting too (see Steve Horvath's work). Also, there's synthetic biology, where you could, for example, explore this package that's written in Go: https://github.com/TimothyStiles/poly
- Any corner cases for Needleman-Wunsch that should be tested?
- Where can I find well-written go code to learn from?
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High-performance language recommendation
Check out poly. It’s written in go and I’m using it for one of my projects too. The goal is that we should have high performance libraries that we can use knowing what people are working on the forks will give the community a leg up.
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How is GO used in bioinfo?
The most popular bioinformatic package I've seen in go is poly.
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Software engineers: consider working on genomics
I write synthetic biology software for a living and maintain this open source, Go package for engineering DNA that has high test coverage and a nice little dev community around it.
https://github.com/TimothyStiles/poly
A large part of my project's community are devs that want to get into the field but can't tolerate the ridiculously low pay, laughably bad management, disrespect, and what amounts to 40+ years of technical debt that's endemic to biotech software.
I've had companies here in the Bay Area offer me 100K a year with a straight face. I've had companies during interview tell me they're looking for someone to help, "set up GitHub". I've seen job listings for low paid web dev positions require applicants to have PhDs.
The reality is that except for a growing handful of places management straight up won't know the difference between IT and software engineers. It's what I call the naive buyers problem.
The demand for software engineers in biotech is generated by naive buyers that don't know what they need, why they need it, or how to get it.
Benchling and Recursion Pharmaceuticals have reputations in the industry of paying, "standard software salaries". So do the research divisions at places like deepmind/microsoft/google but in my experience there's even new multi-billion dollar institutes where senior management has never even heard the term devops.
Most places advertise for "data scientist", positions or some analog, instead of software engineers. This is mostly because upper management has never met an actual practicing software engineer in a professional setting. Many come from academia where the culture and work requirements heavily disincentivize standard software engineering practices.
It's also not uncommon for a biotech company to either have a very under qualified CTO whose main programming experience is what they learned doing ML research like stuff during their PhD or not even have one at all which has huge downstream consequences.
This week a software engineer trying to make the switch to biotech actually DM'd me to ask why they were seeing a ton of data science / ML job positions but no software engineering / devops positions.
They were worried that these companies were trying to save on costs by forcing their data scientists to create infrastructure but it's actually worse than that. Most of these companies aren't even aware that there's supposed to be infrastructure.
Despite all of this the future is looking better and I'm starting to find new companies and positions that are well... reasonable. I learned about this thread from a friend at a party last night that works at one of these companies. There's a small, strong new wave of companies and developers out there pushing biotech software forward. Hopefully some (including myself) make it big while pushing the idea that better tech equals better biotech.
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Ask HN: What interesting problems are you working on? ( 2022 Edition)
It is more like the X Y Z W. However, the X Y Z W bits I am working on as well (https://github.com/TimothyStiles/poly , https://github.com/TimothyStiles/allbase , trilo.bio, freegenes.org). Going for fully automated "make bacterium X produce molecule Y", but still a while away (but surprisingly not THAT far off)
What are some alternatives?
pyglossary - A tool for converting dictionary files aka glossaries. Mainly to help use our offline glossaries in any Open Source dictionary we like on any modern operating system / device.
Raylib-CsLo - autogen bindings to Raylib 4.x and convenience wrappers on top. Requires use of `unsafe`
python-benedict - :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
pg-mem - An in memory postgres DB instance for your unit tests
kindlewick - collects wiktionary defintions into the kindle format for in-book lookups
linaria - Zero-runtime CSS in JS library
ebook_dictionary_creator - Code to create a database with cleaned up Wiktionary data and then to create ebook dictionaries based on this data.
seq - A high-performance, Pythonic language for bioinformatics
matano - Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
m4b-tool - m4b-tool is a command line utility to merge, split and chapterize audiobook files such as mp3, ogg, flac, m4a or m4b
odict - A blazingly-fast, offline-first format and toolchain for lexical data 📖
procedural-gl-js - Mobile-first 3D mapping engine with emphasis on user experience