Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
clojure-style-guide
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26,362 | 3,975 | |
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0.0 | 2.9 | |
5 months ago | about 2 months ago | |
Jupyter Notebook | ||
MIT License | - |
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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
- Probabilistic Programming and Bayesian Methods for Hackers (2013)
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[Q] Bayesian statistics!
Also this is quite nice practical introduction which might help with finding answers to your questions: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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How many of you have used algebra, calculus, geometry, etc in your business careers/the real world?
This is a good intro to probabilistic programming.
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Suggestions for some best books on computer vision
Probabilistic programming is a nice technique to have up your sleeve.
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Bayes examples and study help
+1 for Statistical Rethinking. I’m also partial to Bayesian Methods for Hackers.
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✨ 10 Free Books for Machine Learning & Data Science 📚
🔗 https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
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Predicting the distribution of a variable rather than a point estimate
You’re welcome! I would recommend Bayesian Methods for Hackers
- Bayesian Methods for Hackers
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A collaborative book on DeFi
All content is open-source: everyone is free to read, but also to contribute to the book using github. I know of one other book that followed this open-source 'publishing' model and became quite successful eventually through community efforts. I contemplated for a bit to create a book DAO but I think it's going to be overkill :).
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[R] Analysis of Russian vaccine trial outcomes suggests they are lazily faked. Distribution of efficacies across age groups is quite improbable
Jake Vanderplas's Statistics for Hackers presentation is a perfect place to start. Bayesian Methods for Hackers is also very good.
clojure-style-guide
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XML is better than YAML
Fixed link to that style guide entry: https://guide.clojure.style/#opt-commas-in-map-literals
Per that style guide, the above map would be formatted like this (on HN, just indent by two spaces):
{:a 1
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How to be more idiomatic?
As for the broader question of Clojure style, there are style guides like https://github.com/bbatsov/clojure-style-guide and tools like clj-kondo to help learn and reinforce important practices.
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What makes Clojure better than X for you?
Basically, you learn the expected places to put whitespace, make sure to edit your code accordingly and all of the parens will be automatically closed and adjusted. Using parinfer—which you can also combine with the more traditional paredit—makes writing Clojure code a lot like writing Python.
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Poignant perspective I found about Clojure's community in r/ExperiencedDevs
Also, there are guidelines, the styleguide, clj-kondo, kibit etc. And if you don't review your interns/juniors code to teach them good practices - you're doing it wrong (well, this one is true for any practical PL out there).
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How to learn Clojure idioms?
Another good resource is https://guide.clojure.style/ -- the (unofficial) community style guide for Clojure.
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4-space indents?
It's not an answer to your question but i can refer you to https://github.com/bbatsov/clojure-style-guide
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Clojure Coding Guide
The same could be said about the "Clojure Style Guide" from the Cider guy. As a matter of fact, there was an issue about it that was quickly declined https://github.com/bbatsov/clojure-style-guide/issues/232
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Wrote one of my first clojure programs (tic-tac-toe). Any constructive criticism would be greatly appreciated.
Formatting is not that great, see https://github.com/bbatsov/clojure-style-guide btw
- Want to get into closure, but struck at practice
- [clojure-noob][code-review]I've written my first piece of code in clojure, can you guys review it ?
What are some alternatives?
dtale - Visualizer for pandas data structures
prettier - Prettier is an opinionated code formatter.
NLP-Model-for-Corpus-Similarity - A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.
Crafting Interpreters - Repository for the book "Crafting Interpreters"
JLee_LinearOptimizationBook
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
Scala school - Lessons in the Fundamentals of Scala
Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
guide.elm-lang.org - My book introducing you to Elm!
papers-we-love - Papers from the computer science community to read and discuss.