vol4ok

<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'>

johnantoni

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

keighl

# Speed things up by not loading Rails env
config.assets.initialize_on_precompile = false

Integralist

# 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"]

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

john2x

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

karpathy

"""
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)

anirban94chakraborty

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.

ssrihari

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