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Sandeep Raju Prabhakar sandeepraju

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@adamlj
adamlj / send_mailgun_attachments.py
Created January 23, 2014 10:53
MailGun API Python Requests multiple Attachments Send mail with multiple files/attachments with custom file names
requests.post("https://api.mailgun.net/v2/DOMAIN/messages",
auth=("api", "key-SECRET"),
files={
"attachment[0]": ("FileName1.ext", open(FILE_PATH_1, 'rb')),
"attachment[1]": ("FileName2.ext", open(FILE_PATH_2, 'rb'))
},
data={"from": "FROM_EMAIL",
"to": [TO_EMAIL],
"subject": SUBJECT,
"html": HTML_CONTENT
import time
import sys
ms = int(sys.argv[1]) if len(sys.argv) > 1 else 250
words, start = 0, time.time()
print "\n"*2
try:
for line in sys.stdin:
@tsiege
tsiege / The Technical Interview Cheat Sheet.md
Last active August 11, 2025 21:50
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

@dbalan
dbalan / iTerm.md
Last active January 13, 2021 12:55
iterm cheetsheet

iTERM2 Cheetsheet

Fancy Utilities

  1. Paste history: ⌘ + Shift + h
  2. Instant Replay: ⌘ + Opt + b
  3. Mouseless selection: ⌘ + f; Tab
  4. Smart select: Quad-Click
  5. Rectangle Select: ⌘ + Opt + Select
  6. Open link (URL/File): ⌘ + Click
@karpathy
karpathy / min-char-rnn.py
Last active August 10, 2025 18:47
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)
@oldwestaction
oldwestaction / tabbycatswag.json
Last active November 11, 2023 01:52
hack for the tabby cat chrome extension to unlock all the accessories
{"collected":["glasses-1","glasses-2","glasses-3","glasses-4","hat-1","hat-2","hat-3","hat-4","hat-5","hat-6","hat-7","hat-8","toy-1","toy-2","toy-3","toy-4","toy-5","toy-6","toy-7","toy-8"],"active":{"hat":"hat-8","toy":"toy-3","glasses":"glasses-3"},"unseen":[],"shuffle":false}