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@ssrihari
ssrihari / clojure-learning-list.md
Last active April 17, 2025 15:56
An opinionated list of excellent Clojure learning materials

An opinionated list of excellent Clojure learning materials

These resources (articles, books, and videos) are useful when you're starting to learn the language, or when you're learning a specific part of the language. This an opinionated list, no doubt. I've compiled this list from writing and teaching Clojure over the last 10 years.

  • 🔴 Mandatory (for both beginners and intermediates)
  • 🟩 For beginners
  • 🟨 For intermediates

Table of contents

  1. Getting into the language
@anirban94chakraborty
anirban94chakraborty / tensorflow-gpu-in-jupyter-lab.md
Last active February 12, 2024 16:38
Install Tensorflow-GPU (for NVIDIA GPUs) for use in JupyterLab using Anaconda

Install Tensorflow-GPU (for NVIDIA GPUs) for use in JupyterLab using Anaconda

This tutorial is for computers with NVIDIA GPUs installed.

Tensorflow for GPU significantly reduces the time taken by Deep Neural Networks (like CNNs, LSTMs, etc) to complete each Epoch (compute cycle) by utilizing the CUDA cores present in the GPU for parallel processing.

The following steps are to be followed:

  1. Make sure that you have installed the latest drivers of your NVIDIA GPU for your OS.
@karpathy
karpathy / min-char-rnn.py
Last active May 8, 2025 09:24
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
@john2x
john2x / 00_destructuring.md
Last active May 5, 2025 14:54
Clojure Destructuring Tutorial and Cheat Sheet

Clojure Destructuring Tutorial and Cheat Sheet

(Related blog post)

Simply put, destructuring in Clojure is a way extract values from a datastructure and bind them to symbols, without having to explicitly traverse the datstructure. It allows for elegant and concise Clojure code.

Vectors and Sequences

@staltz
staltz / introrx.md
Last active May 11, 2025 22:46
The introduction to Reactive Programming you've been missing
@Integralist
Integralist / Ruby Splats.rb
Last active October 8, 2015 12:40
Ruby Splat (single and double)
# When calling a method with a splat then the parameters are passed as a comma separated list
# When receiving arguments with a splat then they are converted into an Array
# When using a double splat (2.0+) then the argument is converted into a Hash (i.e. named parameters)
def foo(*args)
p args
end
foo 'a', 'b', 'c'
# => ["a", "b", "c"]
@keighl
keighl / application.rb
Created December 19, 2012 16:42
Faster Rails asset precompilation via Capistrano .. just do it locally!
# Speed things up by not loading Rails env
config.assets.initialize_on_precompile = false
@johnantoni
johnantoni / unicorn.rb
Created August 2, 2012 15:48
unicorn + nginx setup + ssl
unicorn.rb
-----------------------------------
application = "jarvis"
remote_user = "vagrant"
env = ENV["RAILS_ENV"] || "development"
RAILS_ROOT = File.join("/home", remote_user, application)
worker_processes 8
timeout 30
@vol4ok
vol4ok / _pay_form.erb.html
Created September 20, 2011 06:56
rails + robokassa example
<form action="<%= @pay_desc['mrh_url'] %>" method="post">
<input type=hidden name=MrchLogin value="<%= @pay_desc['mrh_login'] %>">
<input type=hidden name=OutSum value="<%= @pay_desc['out_summ'] %>">
<input type=hidden name=InvId value="<%= @pay_desc['inv_id'] %>">
<input type=hidden name=Desc value="<%= @pay_desc['inv_desc'] %>">
<input type=hidden name=SignatureValue value="<%= @pay_desc['crc'] %>">
<input type=hidden name=Shp_item value="<%= @pay_desc['shp_item'] %>">
<input type=hidden name=IncCurrLabel value="<%= @pay_desc['in_curr'] %>">
<input type=hidden name=Culture value="<%= @pay_desc['culture'] %>">
<input type=submit value='Оплатить'>